Molecular Simulation Ontology

Metadata

IRI
http://purl.obolibrary.org/obo/molsim/molsim-full.owl
Title

Molecular Simulation Ontology

Creator
Contributor
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
Version Iri
http://purl.obolibrary.org/obo/molsim/releases/2026-04-02/molsim-full.owl
Version Info

2026-04-02

Description

MOLSIM is an interoperable domain ontology designed to semantically represent platform-agnostic atomistic biomolecular simulations as FAIR (Findable, Accessible, Interoperable, and Reusable) datasets. This ontology aims to standardize the representation of atomistic biomolecular simulation data, processes, and methodologies across different platforms and tools.

Classes

enhanced sampling algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001740
Description

An enhanced sampling algorithm is a computational procedure that modifies a standard simulation to accelerate the exploration of a molecule's possible shapes or to observe rare events. These algorithms are designed to overcome the high energy barriers that can trap a simulation in a single state for a long time. For experts, this category includes the specific algorithms that implement methods like metadynamics, replica exchange, or steered molecular dynamics. (UNVERIFIED)

Sub Class Of algorithm c
Super Class Of

simulation method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000308
Description

A simulation method is a computational technique that mimics how a system changes over time. As a type of computational method, it involves numerically integrating equations of motion to generate a trajectory that describes the system's dynamic evolution, such as in molecular dynamics or enhanced sampling. The choice of simulation method dictates the physical laws and algorithms used to propagate the system's state, as controlled by parameters in the main simulation input file. This is referred to in log files and inputs with keywords like "integrator," "dynamics," "nsteps," and "dt." (UNVERIFIED)

Sub Class Of
Super Class Of

collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001827
Description

A collective variable is a simplified coordinate that helps describe a complex process in a simulation, such as the distance between two proteins as they bind. Instead of tracking thousands of atomic coordinates, a collective variable reduces the system's motion to one or a few key parameters that capture the essence of the event. These variables are frequently used in enhanced sampling methods to focus computational effort on exploring a specific conformational change or reaction pathway. (UNVERIFIED)

Sub Class Of model c
Super Class Of

CpHMD library format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001550
Description

This is a specialized file format used in constant pH simulations to define the properties of amino acids that can change their protonation state. The library file contains the topologies for both the protonated and deprotonated forms of a titratable residue, such as aspartic acid. This format allows the simulation engine to dynamically switch between the different residue states during the simulation to model pH-dependent effects correctly. (UNVERIFIED)

Sub Class Of molecular topology format c

GAMESS c

IRI http://purl.obolibrary.org/obo/MOLSIM_000176
Description

This likely refers to GAMESS-US (General Atomic and Molecular Electronic Structure System), a widely used, freely available quantum chemistry software package. It provides a broad range of quantum mechanical methods (HF, DFT, MP2, CCSD, MCSCF) and features for geometry optimization, vibrational analysis, property calculation, and QM/MM simulations. GAMESS-US is extensively used in computational chemistry research and education for electronic structure calculations relevant to biomolecular systems. (UNVERIFIED) (If GAMESS-UK was intended, see previous definition)

Sub Class Of quantum chemistry engine c

reaction field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000055
Description

An approximate method for handling long-range electrostatic interactions where direct interactions are calculated only up to a certain cutoff distance. The effect of charges beyond the cutoff is approximated by embedding the cutoff sphere within a continuous dielectric medium representing the solvent. While computationally cheaper than PME, its accuracy depends on the system and parameters chosen (UNVERIFIED).

Sub Class Of electrostatic interaction algorithm c

non-equilibrium molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_002005
Description

Non-equilibrium molecular dynamics (NEMD) is a class of simulation techniques where the system is actively driven away from thermodynamic equilibrium by the application of external forces or constraints. Instead of observing natural fluctuations, researchers use this method to study how the system responds to stress, such as mechanical pulling, shearing flow, or thermal gradients. For experts, these simulations are governed by non-Hamiltonian equations of motion or time-dependent biases and are fundamental for calculating transport coefficients or recovering equilibrium free energies using fluctuation theorems. (UNVERIFIED)

Sub Class Of molecular dynamics c

kilocalorie per mole per square angstrom c

IRI http://purl.obolibrary.org/obo/MOLSIM_010005
Description

A unit of energy per amount of substance per area, commonly used in molecular dynamics simulations for expressing force constants and restraint weights.

Sub Class Of energy unit c

3D reference interaction site analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000483
Description

The 3D Reference Interaction Site Model (3D-RISM) is a sophisticated analysis method based on statistical mechanics that calculates the three-dimensional distribution of solvent molecules around a solute. It is an implicit solvent model that provides a detailed, atomistic picture of the solvation structure without the computational cost of simulating explicit solvent molecules. For experts, 3D-RISM is a powerful method for calculating solvation free energies and for predicting the location of tightly bound water molecules. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

interactive molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_002021
Description

A simulation technique that allows a user to visualize and physically manipulate a running molecular simulation in real-time. Through a specialized interface or haptic device, the user applies external forces to specific atoms while the simulation engine calculates the system's response on the fly. For experts, IMD uses a client-server architecture where the visualization client sends force vectors to the simulation server, which integrates these as time-dependent external potentials, useful for guiding docking or unfolding pathways. (UNVERIFIED)

Sub Class Of molecular dynamics c

edgembar-bookend2dats.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001639
Description

This is a utility script from the edgembar software package used to process the output from a specific type of free energy calculation. It likely extracts the necessary energy data from simulations of the "bookend" or reference states in a large alchemical network. This data preparation is a required step before the main edgembar program can combine all the results to calculate the final relative free energies. (UNVERIFIED)

Sub Class Of utility script c

adaptive Poisson-Boltzmann solver c

IRI http://purl.obolibrary.org/obo/MOLSIM_001559
Description

An adaptive Poisson-Boltzmann solver is a sophisticated algorithm for calculating the electrostatic properties of a molecule in a solvent. It solves the Poisson-Boltzmann equation on a grid that automatically becomes finer in regions where the electrostatic potential is changing rapidly, such as near the charged atoms of the molecule. This adaptive approach allows for a highly accurate calculation of electrostatic energies with greater computational efficiency than using a uniformly fine grid everywhere. (UNVERIFIED)

Sub Class Of electrostatics analysis tool c

running average calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001032
Description

A running average calculation is a statistical analysis technique used to smooth out short-term fluctuations in time-series data and highlight longer-term trends. It is calculated by averaging a property over a sliding time window as the simulation progresses. For simulation experts, monitoring the running average of properties like the total energy or temperature is a standard method for assessing whether a simulation has reached a stable equilibrium. (UNVERIFIED)

Sub Class Of statistical analysis c

arc format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001045
Description
  • This can also be a coordinate format from Tinker package as well.

  • A file format used by the TINKER simulation package to store the trajectory of a molecular system. It archives the atomic coordinates from different snapshots of a simulation in a single file for later analysis. This is the standard trajectory output for TINKER simulations. (UNVERIFIED)

Sub Class Of molecular trajectory format c

OPLS c

IRI http://purl.obolibrary.org/obo/MOLSIM_000758
Description

The Optimized Potentials for Liquid Simulations force field family, developed by William L. Jorgensen and colleagues. This family encompasses several versions (e.g., OPLS-AA, OPLS-UA) designed for simulating organic liquids, proteins, and other biomolecules. A key focus during parameterization is accurately reproducing experimental properties of liquids, like density and heat of vaporization. (UNVERIFIED)

Sub Class Of protein force field c

rectangular/cubic c

IRI http://purl.obolibrary.org/obo/MOLSIM_000036
Description

The simplest simulation box shape, defined by three mutually perpendicular axes (orthogonal box). If all edge lengths are equal, it is cubic; otherwise, it is rectangular (also called orthorhombic or cuboid). While straightforward to implement and visualize, cubic boxes can be inefficient for solvating non-cubic solutes, often requiring significantly more solvent molecules than more spherically approximating shapes like the truncated octahedron to achieve the same minimum distance between periodic images. (UNVERIFIED)

Sub Class Of box type c

link atom c

IRI http://purl.obolibrary.org/obo/MOLSIM_001466
Description

A link atom is a "dummy" atom, usually a hydrogen, used in hybrid QM/MM simulations to properly cap the broken chemical bond at the boundary between the high-accuracy and low-accuracy regions. When a covalent bond is cut between the quantum mechanics (QM) and molecular mechanics (MM) regions, the link atom is introduced along this bond to saturate the valency of the QM atom, preventing unrealistic electronic effects. The proper placement and treatment of these link atoms is one of the most critical aspects of a QM/MM simulation, as it directly affects the accuracy of the calculated energies and forces at the interface. (UNVERIFIED)

Sub Class Of QM/MM model component c

microcanonical ensemble c

IRI http://purl.obolibrary.org/obo/MOLSIM_000198
Description

A statistical ensemble representing completely isolated systems, where the number of particles (N), the system volume (V), and the total energy (E) are all held constant; hence often called the NVE ensemble. There is no exchange of energy or particles with the surroundings. Simulations performed in the NVE ensemble directly follow Newtonian laws of motion (integrating Hamilton's equations), and conservation of total energy serves as a key check of simulation stability and accuracy, but it's less commonly used for equilibrium sampling compared to NVT or NPT as temperature can fluctuate. (UNVERIFIED)

Sub Class Of ensemble c

protein-peptide docking analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_010026
Description

Protein-peptide docking analysis is a computational method specifically designed to predict the three-dimensional structure of a complex formed between a protein receptor and a short peptide ligand. Unlike small molecule docking, these algorithms must explicitly account for the high flexibility and numerous degrees of freedom found in the peptide's backbone and side chains. This analysis is essential for understanding cell signaling pathways mediated by peptide interactions and for designing peptide-based therapeutic agents. (UNVERIFIED)

Sub Class Of static molecular interaction prediction modeling c

amber ff14SB c

IRI http://purl.obolibrary.org/obo/MOLSIM_000021
Description

A specific protein force field parameter set from the AMBER family (ff), released around 2014, with optimizations primarily for side-chain (S) and backbone (B) torsion angles compared to earlier versions like ff99SB. It was widely adopted for its improved accuracy in representing protein secondary structure and dynamics. It is an all-atom force field. (UNVERIFIED)

Sub Class Of protein force field c

orbital analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000676
Description

A form of electronic structure analysis that investigates the molecular orbitals (MOs) of a system, which represent the energy levels and spatial distributions of electrons within the molecule based on quantum mechanics. Common analyses include visualizing frontier orbitals (HOMO, LUMO), examining orbital compositions (e.g., atomic orbital contributions), analyzing orbital energies for insights into ionization potential or electron affinity, and relating MOs to chemical bonding, reactivity, and electronic transitions. It helps rationalize chemical behavior based on electron distribution in orbitals. (UNVERIFIED)

Sub Class Of electronic structure analysis c

Van der Waals energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001299
Description

A component of the system's energy that describes short-range non-covalent interactions, including both Pauli repulsion and attractive dispersion forces. It is typically calculated using a Lennard-Jones potential and is fundamental for modeling molecular size, shape, and packing. The stability of the Van der Waals energy is a key indicator of proper system density and packing during equilibration. This value is reported in simulation outputs as E_vdw, VDWAALS, VDW, or Lennard-Jones. (UNVERIFIED)

Sub Class Of energy c
Super Class Of 1-4 Van der Waals energy c

molecular mechanics Poisson Boltzmann surface area analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000262
Description

MM/PBSA is an endpoint method used to estimate binding free energies by combining molecular mechanics (MM) energy calculations with continuum solvation models. It calculates the free energy change by summing the change in MM energy in vacuum, the change in polar solvation free energy (calculated using Poisson-Boltzmann electrostatics), and the change in nonpolar solvation free energy (estimated from solvent-accessible surface area). This approach analyzes snapshots from molecular dynamics simulations of the bound and unbound states. (UNVERIFIED)

Sub Class Of endpoint free energy analysis c
Super Class Of

shear c

IRI http://purl.obolibrary.org/obo/MOLSIM_001360
Description

A base pair parameter that quantifies the translational displacement of one base relative to the other along their short axis, within the plane of the base pair. A non-zero shear indicates a lateral sliding of the bases relative to their standard Watson-Crick hydrogen bonding positions. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair parameter c

implicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000068
Description

A solvation model that approximates the average effect of the solvent environment without explicitly representing individual solvent molecules. Instead, the solvent is treated as a continuous medium characterized by macroscopic properties, primarily its dielectric constant (ϵ) to account for electrostatic screening, and sometimes surface tension to account for nonpolar effects like cavity formation. Common examples include Generalized Born (GB) models and methods based on solving the Poisson-Boltzmann (PB) equation, often combined with a surface area term (SASA); these significantly reduce computational cost compared to explicit solvent. (UNVERIFIED)

Sub Class Of solvation model c
Super Class Of

atomic scattering factor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001801
Description

The atomic scattering factor is a measure of how strongly a single atom scatters waves, such as X-rays, which is a key piece of information for determining molecular structures from experiments. This factor depends on the number of electrons an atom has and the angle at which the X-rays are scattered. It is a fundamental component used in crystallographic refinement programs to calculate the theoretical diffraction pattern from a molecular model for comparison with experimental data. (UNVERIFIED)

Sub Class Of physical property c

spectroscopy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001008
Description

Spectroscopy is the study of how matter interacts with energy, particularly electromagnetic radiation like light. By analyzing how energy is absorbed, emitted, or scattered by a substance, we can learn about its atomic and molecular structure, composition, and dynamics. It serves as a fundamental set of tools for observing the properties of molecules. (UNVERIFIED)

Sub Class Of experimental method c
Super Class Of

am1bcc c

IRI http://purl.obolibrary.org/obo/MOLSIM_001613
Description

The am1bcc program is a utility in the AmberTools suite that calculates atomic partial charges for organic molecules using the AM1-BCC method. It first performs a fast, approximate quantum mechanical calculation (AM1) and then applies a set of empirical "bond charge corrections" (BCC) to improve the charges. This two-step procedure provides a rapid and automated way to generate good-quality charges for drug-like molecules that are compatible with the GAFF force field. (UNVERIFIED)

Sub Class Of charge derivation tool c

NWChem topology format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000900
Description

In NWChem, topology information for molecular dynamics or QM/MM calculations is typically defined within the input file (.nw) using specific directives like TOPOLOGY. This section defines atom types, charges, and connectivity (bonds, angles, etc.) for the molecular system. Associated force field parameters are usually specified separately using directives like PARAMETERS. (UNVERIFIED)

Sub Class Of molecular topology format c

GAL17 force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001454
Description

The GAL17 force field is a specific material force field designed for the simulation of zeolites, which are porous crystalline materials. It includes parameters to model the aluminosilicate framework and its interactions with various guest molecules. For researchers in catalysis and materials science, the GAL17 force field provides a specialized tool for studying adsorption and diffusion processes within zeolite structures. (UNVERIFIED)

Sub Class Of material force field c

aug-cc-pVDZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000544
Description

The aug-cc-pVDZ basis set is the Double-Zeta correlation-consistent basis (cc-pVDZ) augmented with a set of diffuse functions (one for each angular momentum in the valence set). These spatially extended diffuse functions are crucial for accurately describing systems with loosely bound electrons, such as anions, electronically excited states, and molecules involved in weak intermolecular interactions (e.g., van der Waals, hydrogen bonding). (UNVERIFIED)

Sub Class Of split-valence c

tunnel predictor tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000245
Description

A computational tool designed to identify and characterize pathways, channels, or tunnels within the structure of a macromolecule, typically a protein enzyme. These tunnels often connect a buried active site to the protein surface and are important for ligand entry/egress, solvent access, or product release. Tools like CAVER use geometric algorithms to find voids and pathways within the protein structure based on atomic coordinates. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of

force field parameter format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002066
Description

A data format that stores the numerical coefficients and empirical rules defining the potential energy function of a molecular mechanics force field. It contains the specific values needed to calculate interactions between atom types, including equilibrium lengths and force constants for bonded terms (bonds, angles, dihedrals), as well as Lennard-Jones parameters and partial charges for non-bonded terms. For experts, these files (such as AMBER .dat/.frcmod or CHARMM .par) supply the fundamental physical constants required by the simulation engine to compute interatomic forces, and are kept strictly distinct from the molecular coordinates or run control settings. (UNVERIFIED)

Sub Class Of simulation input format c
Super Class Of

QM/MM region selection algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001726
Description

A QM/MM region selection algorithm is a procedure used in adaptive QM/MM simulations to automatically decide which atoms should be included in the high-accuracy quantum mechanics (QM) region. This algorithm dynamically updates the QM/MM boundary during the simulation based on predefined rules, such as the distance of atoms from a reaction center. For experts, these algorithms are the core of adaptive methods that allow the QM region to follow the chemical action. (UNVERIFIED)

Sub Class Of polarization algorithm c
Super Class Of hysteretic region selection algorithm c

algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000037
Description

A well-defined sequence of steps or rules designed to perform a specific task or solve a particular problem. In computational science, algorithms provide the precise instructions for a computer to follow to achieve a desired outcome, such as simulating molecular motion or analyzing data. They are the fundamental building blocks of computational methods used in biomolecular simulation and analysis.

Super Class Of

nearest neighbor algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000092
Description

Generally refers to algorithms that operate based on proximity, often used in classification, clustering, or search problems. In pathfinding or optimization, a simple nearest neighbor approach might involve iteratively moving to the closest unvisited node, which is a heuristic that does not guarantee finding the globally optimal path (e.g., in the Traveling Salesperson Problem). It can also refer to K-Nearest Neighbors (KNN) classification/regression (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

Chronus Quantum c

IRI http://purl.obolibrary.org/obo/MOLSIM_000183
Description

An object-oriented quantum chemistry software package focused on developing and implementing novel electronic structure theories, particularly methods for electron correlation and response properties (e.g., for spectroscopy). It serves both as a research platform for method development and an application for advanced QM calculations. It provides a modern framework for tackling challenging quantum chemical problems. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

crd format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000921
Description

A generic name for a text-based file format that stores the Cartesian (x, y, z) coordinates of atoms in a molecular system. The specific layout can vary, as multiple simulation packages like CHARMM and Amber have their own distinct versions of a ".crd" file. Due to its ambiguity, it is often necessary to specify which software's CRD format is being used. (UNVERIFIED)

Sub Class Of molecular structure format c
Super Class Of

SETTLE algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000797
Description

An analytical (non-iterative) constraint algorithm specifically designed for rigid water models like TIP3P or SPC/E, where both bond lengths and the bond angle are fixed. Because the geometry is simple and fixed, the constraint equations for a water molecule can be solved analytically, making SETTLE significantly faster than iterative methods like SHAKE for constraining water. It is highly efficient for simulations with explicit water (UNVERIFIED).

Sub Class Of constraint algorithm c

torsion collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001834
Description

A torsion collective variable is a coordinate that tracks the value of a specific dihedral angle, which describes the rotation around a chemical bond. These variables are fundamental for describing the detailed three-dimensional shape of a flexible molecule. They are often used in enhanced sampling simulations to accelerate the rotation of protein side chains or to explore different backbone conformations. (UNVERIFIED)

Sub Class Of collective variable c
Super Class Of

energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000950
Description

A type of structural analysis focused on calculating and interpreting the potential energy associated with specific molecular structures or conformations obtained from simulations or modeling. This includes calculating single point energies, comparing energies of different conformers, or decomposing the total energy into contributing components. It helps assess the stability and likelihood of different structures. (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of

modified direct inversion in the iterative subspace solver algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001690
Description

This is an advanced algorithm used to accelerate the convergence of complex, iterative calculations in quantum chemistry. It works by using information from previous steps to intelligently guess a better solution for the next step. For experts, this solver is a variant of the DIIS (Direct Inversion in the Iterative Subspace) algorithm, which is essential for efficiently finding a stable electronic wavefunction in a Self-Consistent Field (SCF) procedure. (UNVERIFIED)

Sub Class Of numerical solver algorithm c

nucleic acid system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001905
Description

A nucleic acid system is a molecular simulation system where the main molecule of interest is a single nucleic acid molecule, such as a DNA duplex or a folded RNA. These simulations are typically performed in a box of water and ions to study the intrinsic structure, flexibility, and conformational dynamics of the nucleic acid. For experts, these simulations are fundamental for understanding the physical properties of our genetic material. (UNVERIFIED)

Sub Class Of molecular simulation system c
Super Class Of

aug-pc-2 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000572
Description

The aug-pc-2 basis set augments the polarization consistent basis set pc-2 with diffuse functions ('aug-'). The pc-2 level generally corresponds to polarized triple-zeta (TZP) quality, optimized for systematic convergence. Aug-pc-2 therefore provides TZP quality description along with diffuse functions needed for anions, interactions, polarizabilities, etc., within the pc-n convergence framework. (UNVERIFIED)

Sub Class Of split-valence c

identifier creating process c

IRI http://purl.obolibrary.org/obo/IAO_0020010
Description

A planned process that provides a reference to an individual entity shared by a group of subscribers to refer to that individual entity.

Sub Class Of planned process c
Equivalentclass planned process c and has_specified_output op some
Restriction has_specified_output op some

cmatrix format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000609
Description

The file for storing pre-calculated pairwise distances does not have a single, mandatory extension, but a common convention exists. The recommended format is a binary file, for which the conventional extension is .cmatrix. (UNVERIFIED)

Sub Class Of molecular trajectory analysis format c

MP4 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000830
Description

MP4 stands for fourth-order Møller-Plesset perturbation theory, providing a higher level of electron correlation treatment by including energy contributions from single, double, triple, and quadruple excitations relative to the Hartree-Fock reference (often denoted MP4(SDTQ)). The inclusion of triple excitations, even if approximated, is particularly important for achieving high accuracy for many chemical systems. MP4 offers significantly better accuracy than MP2 but at a substantially higher computational cost. (UNVERIFIED)

Sub Class Of Moeller-Plesset c

water model force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000014
Description

A water model force field is a set of parameters specifically designed to simulate the behavior of water molecules, which are the most common solvent in biological systems. Different models vary in their complexity, such as the number of interaction sites used to represent a single water molecule, and are optimized to reproduce different experimental properties of liquid water. The choice of water model is a critical decision that can significantly impact the accuracy of a biomolecular simulation. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of

role c

IRI http://purl.obolibrary.org/obo/BFO_0000023
Description

A realizable entity the manifestation of which brings about some result or end that is not essential to a continuant in virtue of the kind of thing that it is but that can be served or participated in by that kind of continuant in some kinds of natural, social or institutional contexts.

Sub Class Of realizable entity c
In Range Of has role op

shape Tanimoto score c

IRI http://purl.obolibrary.org/obo/MOLSIM_010018
Description

The shape Tanimoto score is a quantitative metric used to calculate the three-dimensional geometric similarity between the volumes of two aligned molecules. It is defined as the volume of the intersection of the two molecular shapes divided by the volume of their union, resulting in a value between 0 and 1. For computational chemists, this score is a fundamental tool in virtual screening for identifying non-identical molecular scaffolds that can fit into the same protein binding pocket. (UNVERIFIED)

Sub Class Of Tanimoto similarity algorithm c

principal component analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000121
Description

Principal Component Analysis (PCA) is a statistical dimensionality reduction technique that identifies the principal components – orthogonal directions along which the variance in a dataset is maximized. By projecting the data onto the first few principal components, which capture the largest amount of variance, PCA reduces dimensionality while preserving the most significant patterns of variation. In simulations, it's often used to identify dominant collective motions from atomic trajectories. (UNVERIFIED)

Sub Class Of dimensionality reduction technique analysis c

dimer method algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000425
Description

The dimer method is a specific algorithm used to find transition state structures on a potential energy surface. It works by optimizing a "dimer," which consists of two closely spaced copies of the molecular structure, to find the direction of lowest energy curvature. The dimer is then moved "uphill" along this direction to converge on the saddle point, making it an effective method that only requires first derivatives (forces). (UNVERIFIED)

Sub Class Of transition state search algorithm c

MP2 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000828
Description

MP2 stands for second-order Møller-Plesset perturbation theory, representing the first and computationally least expensive level beyond Hartree-Fock that incorporates electron correlation effects. It calculates the second-order energy correction based on double excitations from the Hartree-Fock reference determinant. MP2 often provides a significant improvement in accuracy over Hartree-Fock for molecular geometries, interaction energies, and reaction energies, making it a very popular baseline correlation method. (UNVERIFIED)

Sub Class Of Moeller-Plesset c

DIIS parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001256
Description

An SCF parameter that controls the Direct Inversion in the Iterative Subspace (DIIS) algorithm, which is used to accelerate the convergence of the SCF procedure. These parameters define the size of the subspace and the number of attempts for the DIIS extrapolation. The DIIS parameter settings are crucial for the efficient convergence of many QM calculations. These are often set in a specific diis section of the input file. (UNVERIFIED)

Sub Class Of SCF parameter c
Super Class Of

multi-state Bennett acceptance ratio analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000302
Description

The Multistate Bennett Acceptance Ratio (MBAR) is a statistically optimal method for analyzing data from multiple simulations performed at different thermodynamic states (e.g., different temperatures, or with different biasing potentials like in umbrella sampling). It efficiently combines all the collected data to calculate free energy differences between any pair of the simulated states and to compute equilibrium expectation values. MBAR generalizes the two-state BAR method. (UNVERIFIED)

Sub Class Of free energy and molecular dynamics analysis c

information content entity c

IRI http://purl.obolibrary.org/obo/MOLSIM_001072
Description

An information content entity is an abstract concept representing any piece of data, information, or knowledge that can be identified and described. In the context of simulations, it refers to the abstract data itself, such as the concept of a molecular structure or a simulation parameter set, separate from the specific file format used to store it. This distinction helps in organizing and standardizing the description of simulation data and metadata. (UNVERIFIED)

Super Class Of

reaction coordinate c

IRI http://purl.obolibrary.org/obo/MOLSIM_001994
Description
  • Distinct from the object property MOLSIM_001036. Modeled here as a Class (the variable itself).

  • A simplified variable used to track the progress of a chemical reaction or a complex structural change. It reduces the motion of thousands of atoms into a single parameter that describes the transition from a starting state to a final state. For experts, while theoretically the minimum energy path on the free energy landscape, in practice, it is approximated by collective variables (like distances or RMSD) used in enhanced sampling methods like Umbrella Sampling. (UNVERIFIED)

Sub Class Of collective variable c
In Range Of has reaction coordinate op

empirical metal center parameterization modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000646
Description

An empirical metal center parameterization is a method for deriving force field parameters for a metal ion and its coordination site by fitting them to reproduce experimental data. This can include data such as crystal structures, vibrational frequencies, or binding energies for a set of known metal complexes. For experts, this approach is often necessary for metal ions because standard, general-purpose parameterization methods can fail to capture their complex electronic and bonding behavior. (UNVERIFIED)

Sub Class Of force field parameterization modeling c

AmberTools c

IRI http://purl.obolibrary.org/obo/MOLSIM_000218
Description

The freely available component of the AMBER software package, containing numerous programs and utilities for biomolecular simulation tasks excluding the main high-performance simulation engine (pmemd). AmberTools includes programs for system setup (tleap), trajectory analysis (cpptraj), structure preparation (antechamber), energy minimization (sander), basic MD simulation (sander), QM calculations (sqm), free energy analysis (MMPBSA.py), and many others. It provides the essential infrastructure for preparing, analyzing, and modeling simulations run with AMBER or other programs. (UNVERIFIED)

Sub Class Of software suite c

hexagonal prism c

IRI http://purl.obolibrary.org/obo/MOLSIM_000035
Description

A simulation box shape consisting of a hexagonal base extruded along a perpendicular axis. This shape is sometimes used for systems with inherent one-dimensional periodicity or symmetry, such as fibers (like DNA) or layered systems, where periodic boundary conditions are naturally applied across the hexagonal faces and along the prism axis. Its use is less common than cubic or truncated octahedral boxes for general globular protein simulations. (UNVERIFIED)

Sub Class Of box type c

RESP permanent multipole charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001529
Description

This is a sophisticated method for describing a molecule's charge distribution that goes beyond simple point charges on atoms, using more complex shapes to represent the electric field. A RESP permanent multipole charge model is a charge fitting procedure that assigns not only a point charge (monopole) to each atom but also higher-order multipoles like dipoles and quadrupoles. This model is a key component of advanced polarizable force fields that aim for a more detailed and physically accurate representation of intermolecular interactions. (UNVERIFIED)

Sub Class Of ligand charge model c

placeAV.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001629
Description

placeAV.py is a utility script used to convert the predicted solvent binding sites from a Placevent analysis into explicit atomic coordinates. It reads the centers of high-density solvent regions determined by the analysis and places dummy atoms or water molecules at those specific locations within a structure file. This tool allows researchers to visualize potential hydration sites or use them as defined starting positions for explicit solvent molecules in subsequent simulations. (UNVERIFIED)

Sub Class Of utility script c

volume c

IRI http://purl.obolibrary.org/obo/MOLSIM_001946
Description

Volume is a thermodynamic property that represents the three-dimensional size of the periodic simulation box containing the molecular system. In simulations run at constant pressure, this value fluctuates as the barostat adjusts the box dimensions to maintain the target pressure. For experts, the average volume is a primary output used to determine the equilibrium density of the system, a key property for validating the simulation model. (UNVERIFIED)

Sub Class Of thermodynamic property c

visualization analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000357
Description

A visualization method is a technique used to create a graphical representation of molecular data, allowing scientists to see and interact with their results. This includes generating 3D images of molecules, animating simulation trajectories, or plotting data in the form of 2D graphs. For researchers, visualization is an indispensable method for understanding complex structural information and communicating findings. (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of

angle energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001301
Description

A component of the system's energy representing the potential energy stored in the bending of bond angles away from their equilibrium values. This term is usually modeled with a harmonic potential, governing the local geometry and stiffness of the molecular structure. High angle energy values can indicate regions of significant local strain in a molecule. Simulation outputs list this value as Angle, E_angle, or ANGLE. (UNVERIFIED)

Sub Class Of energy c
Super Class Of Urey-Bradley energy c

cc-pV6Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000526
Description

The cc-pV6Z (correlation-consistent polarized Valence Sextuple-Zeta) basis set is even larger than cc-pV5Z, providing six functions per valence orbital and polarization functions up to i-type. It allows for further incremental improvement towards the complete basis set limit in highly accurate benchmark studies. It is computationally feasible only for very small atomic or diatomic systems. (UNVERIFIED)

Sub Class Of split-valence c

match_atomname c

IRI http://purl.obolibrary.org/obo/MOLSIM_001653
Description

match_atomname is a utility program within the AmberTools suite used as a quality control step in simulation setup. It functions by comparing two molecular structure files to ensure that their atom names and connectivity are identical. This check is crucial for preventing errors when processing large sets of conformations where atom ordering might have been inadvertently changed. (UNVERIFIED)

Sub Class Of utility script c

grid spacing c

IRI http://purl.obolibrary.org/obo/MOLSIM_001269
Description

A volumetric analysis parameter that specifies the spacing between points in a 3D grid used for spatial analysis of simulation data. A smaller grid spacing yields a higher resolution grid but increases the computational cost of the grid-based calculation. This is a key parameter for controlling the resolution of the volumetric data. This is often set with the keyword spacing or grdspc. (UNVERIFIED)

Sub Class Of volumetric analysis parameter c

solvated state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000104
Description

A general state referring to a molecule (either ligand or receptor, or the complex) being surrounded by solvent molecules (typically water in biological contexts). This term emphasizes the presence and influence of the solvent on the molecule's structure, dynamics, and energetics. Both the bound and unbound states are typically solvated states, and solvation effects are crucial components of binding free energies and conformational preferences. (UNVERIFIED)

Sub Class Of ligand state c

Lennard-Jones particle mesh Ewald c

IRI http://purl.obolibrary.org/obo/MOLSIM_000429
Description

Lennard-Jones Particle Mesh Ewald (LJ-PME) is a computational algorithm that accurately calculates the long-range part of the van der Waals interactions in a periodic simulation. It applies the same efficient grid-based Ewald methodology used for electrostatics to the attractive (1/r^6) component of the Lennard-Jones potential, which is often neglected or truncated in standard simulations. Using LJ-PME is important for obtaining highly accurate pressure and surface tension values in simulations of homogeneous liquids or lipid membranes where long-range dispersion forces are significant. (UNVERIFIED)

Sub Class Of electrostatic interaction algorithm c

GROMACS portable energy format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002036
Description

A binary file format used by the GROMACS simulation package to store time-series data of system energies and thermodynamic properties. It records values such as potential energy components, temperature, pressure, and box dimensions at specified intervals in a portable, machine-independent format. For experts, this file (extension .edr) is accessed via the gmx energy tool to extract statistics or plotting data, and its binary nature ensures no loss of precision compared to text logs. (UNVERIFIED)

Sub Class Of simulation log format c

system setup tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001556
Description

A system setup tool is a program designed to assemble all the components of a molecular simulation into a complete, simulation-ready model. This typically involves placing the main molecule in a simulation box, adding the correct number of solvent molecules, and introducing ions to neutralize the system's charge. For simulation experts, these tools automate the complex and error-prone process of building a periodic system that accurately represents the desired experimental conditions. (UNVERIFIED)

Sub Class Of modeling and setup tool c
Super Class Of

time-lagged independent component analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000455
Description

Time-lagged Independent Component Analysis (tICA) is an advanced analysis method used to identify the slowest, most persistent motions from a molecular dynamics simulation. It is a dimensionality reduction technique that finds the collective coordinates that change most slowly over a specific time lag, which are often the most important for understanding the system's long-timescale functional dynamics. These slow coordinates are frequently used as the basis for building Markov State Models to describe the system's kinetics. (UNVERIFIED)

Sub Class Of dimensionality reduction technique analysis c

process output c

IRI http://purl.obolibrary.org/obo/MOLSIM_001075
Description

An output file is generated by a computational program and contains the results of the calculation or simulation, along with logs, progress information, and any error messages. Its content varies greatly depending on the program and the type of task performed, but typically includes computed energies, optimized geometries, properties, and diagnostic information. These files are crucial for analyzing the outcome of computational jobs. (UNVERIFIED)

Sub Class Of information content entity c
Super Class Of

aug-cc-pV(D+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000561
Description

The aug-cc-pV(D+d)Z basis set combines three features: a double-zeta correlation-consistent framework, augmentation with diffuse functions ('aug-'), and the additional d-function ('+d') primarily for second-row elements (Na-Ar). It is designed for calculations on second-row atoms where accurately describing anions, weak interactions, or response properties (requiring 'aug') is important, along with the improved polarization from '+d'. (UNVERIFIED)

Sub Class Of split-valence c

off format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000614
Description
  • AMBER lib format

  • An Amber OFF Library file (Object File Format) is a text file that stores a library of molecular units or residues, including their force field parameters, atom types, connectivity, and charges. These files are a fundamental part of the Amber software suite, allowing the LEaP program to build simulation-ready topology files for systems containing non-standard molecules or modified residues (like amino acids with post-translational modifications). The file extension can be interchangeably provided as .lib/.off files UNVERIFIED)

Sub Class Of molecular topology format c

membrane placement analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_010027
Description

Membrane placement analysis is a computational method used to determine the optimal position and orientation of a protein structure within a lipid bilayer. It calculates the most energetically favorable alignment by assessing the hydrophobicity of the protein surface and matching it to the hydrophobic core and polar interfaces of the membrane. This analysis is a critical prerequisite for setting up stable membrane protein simulations and for understanding how proteins anchor themselves in the cell membrane. (UNVERIFIED)

Sub Class Of system setup modeling c

RATTLE algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000051
Description

A constraint algorithm similar to SHAKE but designed for velocity-Verlet type integrators, ensuring that both positions and velocities satisfy the constraint conditions at the end of each time step. It involves solving constraint equations for positions first, then using those positions to solve for constrained velocities. This maintains consistency between positions and velocities under constraint (UNVERIFIED).

Sub Class Of constraint algorithm c

non native contact map c

IRI http://purl.obolibrary.org/obo/MOLSIM_001857
Description

A non-native contact map is a contact map that shows the atomic touches in a misfolded or unfolded protein structure that are not present in its correct, functional shape. It is used to identify incorrect or transient interactions that may form during a simulation, especially in the study of protein folding pathways or misfolded states. Analyzing non-native contacts is crucial for understanding the formation of misfolded intermediates and kinetic traps on the folding landscape. (UNVERIFIED)

Sub Class Of contact map c

aug-cc-pV5Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000547
Description

The aug-cc-pV5Z basis set combines the quintuple-zeta correlation-consistent basis (cc-pV5Z) with an added set of diffuse functions. It is an extremely large basis set used for benchmark calculations aiming for near complete basis set limit accuracy for systems demanding accurate treatment of both correlation energy and diffuse electron density. Its use is limited to very small systems due to computational cost. (UNVERIFIED)

Sub Class Of split-valence c

leapfrog integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_002022
Description

A numerical method used to solve the equations of motion in a simulation by updating positions and velocities at offset time intervals. It calculates velocities at half-integer time steps and positions at integer time steps, ensuring that the integration is time-reversible and symplectic (energy-conserving). For experts, while computationally efficient and stable (O(Δt ^2)), it does not provide velocities and positions at the same instant, requiring interpolation for calculating kinetic energy or pressure at step t. (UNVERIFIED)

Sub Class Of integration algorithm c

network analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001859
Description

Network analysis is a method that represents a molecule as a graph of nodes (atoms or residues) connected by edges (interactions or correlations) to analyze how information is communicated through its structure. By applying graph theory, this approach can identify critical residues that act as communication hubs and map the pathways of correlated motion that connect distant parts of the molecule. This is a powerful tool for understanding allosteric regulation and the long-range effects of mutations. (UNVERIFIED)

Sub Class Of analysis c

PME solvent energy density c

IRI http://purl.obolibrary.org/obo/MOLSIM_001814
Description

This is a 3D map that shows the average electrostatic energy of the solvent at different points in space, as calculated by the Particle Mesh Ewald (PME) method. The value at each grid point represents the electrostatic potential energy density of the solvent, revealing how the solvent's energy is distributed, particularly around a solute or at an interface. This analysis provides a detailed picture of the electrostatic environment created by the solvent and how it is perturbed by the presence of other molecules. (UNVERIFIED)

Sub Class Of energy c

molecular structure c

IRI http://purl.obolibrary.org/obo/MOLSIM_000904
Description

A molecular structure is the information that specifies the three-dimensional arrangement of atoms in a molecule. It is typically represented by a list of atomic coordinates (X, Y, Z) for each atom in the system. This structural information is the fundamental input for visualization and is the starting point for any molecular simulation. (UNVERIFIED)

Sub Class Of molecular system specification c
In Domain Of protein structure source op
In Range Of template complex structure op

constraint parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001202
Description

A type of constraint and restraint parameter that specifies how geometric constraints are applied to the system, typically to fix the length of bonds involving hydrogen. This allows for a longer simulation time step. The constraint parameter settings are crucial for the efficiency of many biomolecular simulations. These are often set with keywords like ntc or constraints. (UNVERIFIED)

Sub Class Of constraint and restraint parameter c
Super Class Of

free state FMO analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000616
Description

A specific computational task within a free energy calculation framework that uses the Fragment Molecular Orbital (FMO) method to determine the energy and properties of a molecule in its unbound ('free') state. This is often required when calculating binding free energies, where the energy of the isolated components serves as a reference point (G free). Employing FMO makes such quantum mechanical calculations feasible for the large molecules often involved in biomolecular binding events. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

dihedral energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001303
Description

A component of the system's energy representing the potential energy associated with the rotation around a covalent bond, defined by a sequence of four bonded atoms. This term, also known as torsional energy, governs the conformational preferences and rotational barriers within a molecule. The dihedral energy is critical for correctly sampling the different conformations a molecule can adopt. Simulation log files report this value as Dihedral, E_dihed, or DIHED. (UNVERIFIED)

Sub Class Of energy c

structure modification modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000661
Description

A structure modification method is a computational procedure that alters the atomic coordinates or composition of a molecular structure file. This includes a wide range of operations such as adding or deleting atoms, rotating or translating molecules, or building new polymeric chains. For researchers, these methods are the fundamental tools used to build, edit, and prepare molecular models for simulation. (UNVERIFIED)

Sub Class Of modeling method c

electrostatic potential (ESP) derived charge c

IRI http://purl.obolibrary.org/obo/MOLSIM_001377
Description

A specific type of atomic charge that is calculated by fitting point charges to reproduce the electrostatic potential surrounding the molecule, as determined by a quantum mechanical calculation. These ESP charges are designed to provide a realistic representation of the molecule's external electric field. They are often used for parameterizing new molecules for simulation. This is a standard output of programs like RESP or antechamber. (UNVERIFIED)

Sub Class Of atomic charge c

hessian c

IRI http://purl.obolibrary.org/obo/MOLSIM_001429
Description

A type of miscellaneous descriptor representing the matrix of the second derivatives of the potential energy with respect to the atomic coordinates. The hessian describes the curvature of the potential energy surface. It is used to calculate vibrational frequencies and to characterize stationary points on the energy landscape. This is a key output of frequency calculations. (UNVERIFIED)

Sub Class Of miscellaneous descriptor c

visualization tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000163
Description

Software specifically designed for creating interactive 3D graphical representations of molecular structures, densities, surfaces, and dynamic trajectories generated from simulations or experiments. These tools allow researchers to visually inspect molecular details, understand complex spatial relationships, analyze interactions, monitor simulations, and create figures and animations for communication. Common examples include VMD, PyMOL, Chimera/ChimeraX, and DeepView (Swiss-PdbViewer). (UNVERIFIED)

Sub Class Of software c
Super Class Of

MR-CI(SD) c

IRI http://purl.obolibrary.org/obo/MOLSIM_000836
Description

Multi-Reference Configuration Interaction with Single and Double excitations, a quantum chemistry method that accounts for electron correlation by performing a configuration interaction calculation (including configurations generated by single and double electron excitations) starting from a multi-reference wavefunction (e.g., from CASSCF). Like MR-CCSD, it targets high accuracy for electronically complex systems but is computationally demanding and may suffer from size-consistency issues depending on the formulation. It offers an alternative way to add dynamic correlation to a multi-reference description (UNVERIFIED).

Sub Class Of multi-reference c

cc-pVQZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000524
Description

The cc-pVQZ (correlation-consistent polarized Valence Quadruple-Zeta) basis set further increases accuracy by providing four functions for each valence orbital and higher angular momentum polarization functions (up to g-type for second-row atoms). It aims to capture a larger percentage of the electron correlation energy than cc-pVTZ, approaching the complete basis set limit more closely. It is computationally demanding and used for high-accuracy calculations. (UNVERIFIED)

Sub Class Of split-valence c

aug-cc-pV5Z-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000554
Description

The aug-cc-pV5Z-RI basis set is the corresponding auxiliary basis developed for Resolution of Identity (RI) or Density Fitting (DF) methods used in conjunction with the very large aug-cc-pV5Z orbital basis. It facilitates the use of RI/DF integral approximations, which is often crucial for making calculations with the demanding aug-cc-pV5Z basis computationally feasible. (UNVERIFIED)

Sub Class Of split-valence c

third-order self-consistent-charge density-functional based tight-binding c

IRI http://purl.obolibrary.org/obo/MOLSIM_000622
Description

Third-order SCC-DFTB, or DFTB3, is a further refinement of the SCC-DFTB semi-empirical method. It includes a third-order correction term in the expansion of the DFT total energy, which improves the description of hydrogen bonding and proton affinities. For experts, DFTB3 is a more accurate and robust method than earlier versions, particularly for systems where hydrogen bonds play a critical role. (UNVERIFIED)

Sub Class Of self-consistent-charge density-functional based tight-binding c

hybrid solvent MM-PBSA analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000647
Description

The hybrid solvent MM/PBSA method is a technique for estimating binding free energy that combines a detailed, explicit solvent model for the region close to the molecule with a faster, continuum model for the bulk solvent. This approach aims to capture the specific, crucial interactions of nearby water molecules while maintaining the computational efficiency of an implicit solvent model for the overall calculation. The final free energy is calculated using the standard MM/PBSA framework but is derived from a simulation that uses this more complex, multi-layered solvent representation. (UNVERIFIED)

Sub Class Of molecular mechanics Poisson Boltzmann surface area analysis c

charge analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000674
Description

A specific electronic structure analysis technique used to partition the total electron density of a molecule and assign partial atomic charges to individual atoms. Various schemes exist (e.g., Mulliken, Löwdin, Hirshfeld, Natural Population Analysis, ESP-derived charges), each with different theoretical underpinnings, providing insights into charge distribution, polarity, and electrostatic interaction sites. These charges are often used to parameterize classical force fields or interpret reactivity. (UNVERIFIED)

Sub Class Of electronic structure analysis c
Super Class Of

Parrinello-Rahman barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000043
Description

An extension of the Andersen barostat that allows the simulation box shape and volume to change anisotropically, meaning the lengths of the box edges and the angles between them can fluctuate independently. This is crucial for simulating phase transitions or studying materials under anisotropic stress conditions while correctly sampling the NPT ensemble. It uses a matrix of barostat variables coupled to the pressure tensor (UNVERIFIED).

Sub Class Of barostat algorithm c

dcd format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000902
Description

The DCD (.dcd) trajectory format is a widely used binary file format for storing atomic coordinates from molecular dynamics simulations, optionally including periodic box information. Originally developed for CHARMM, it is now supported by many simulation packages (like NAMD, LAMMPS) and analysis tools (like VMD) due to its efficiency and portability. It typically stores coordinates in single precision. (UNVERIFIED)

Sub Class Of molecular trajectory format c

unbound state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000100
Description

The state in which a ligand molecule is not associated with the receptor molecule, typically solvated freely in the surrounding solvent (e.g., water) or located far from the receptor's binding site. Defining the unbound state is necessary for calculating binding free energies, as it serves as the reference state relative to the bound state. It represents the ligand and receptor separated and independently solvated. (UNVERIFIED)

Sub Class Of ligand state c

ensemble c

IRI http://purl.obolibrary.org/obo/MOLSIM_000195
Description

In statistical mechanics and molecular simulation, an ensemble is a theoretical construct representing an infinite collection of identical systems, each in a different possible microscopic state (defined by positions and momenta of all particles) but all corresponding to the same macroscopic thermodynamic state defined by a set of fixed variables (e.g., N, V, T or N, P, T). Molecular simulations generate trajectories that sample the microscopic states belonging to a specific ensemble, allowing the calculation of macroscopic properties as averages over these states. The choice of ensemble (e.g., NVE, NVT, NPT) determines which macroscopic variables are held constant during the simulation, mimicking specific experimental conditions. (UNVERIFIED)

Sub Class Of model c
Super Class Of

radial distribution analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000976
Description

A fundamental distribution analysis method that calculates the probability of finding a particle (e.g., a solvent atom like oxygen) at a given distance 'r' from a central reference point (e.g., a solute atom or the solute's center of mass), relative to the probability expected for a uniform distribution at that distance. The resulting function, the radial distribution function or RDF, often denoted g(r), typically shows peaks corresponding to ordered solvation shells and decays to 1 at large distances (bulk solvent). Integration of the first peak gives the average coordination number in the first solvation shell. (UNVERIFIED)

Sub Class Of distribution analysis c

multiscale simulation method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000336
Description

A multiscale simulation method is a technique that combines two or more different levels of theoretical description to model a single system. This is often done to study a large system where a small, critical part requires a high-accuracy quantum mechanical treatment while the larger environment can be modeled with a faster, classical force field. For experts, methods like QM/MM are powerful multiscale approaches for studying chemical reactions in enzymes. (UNVERIFIED)

Sub Class Of simulation method c
Super Class Of hybrid NNP/MM simulations c

helmholtz free energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001988
Description

A measure of the useful energy available to do work in a system held at constant temperature and volume. It is a thermodynamic potential defined as the internal energy minus the product of temperature and entropy (A=U−TS). For experts, this quantity is the natural free energy ensemble for NVT (canonical) simulations and is often calculated using methods like thermodynamic integration or Bennett acceptance ratio. (UNVERIFIED)

Sub Class Of free energy property c

trajectory approach analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000238
Description

This term categorizes different strategies for generating and utilizing molecular dynamics trajectories when calculating binding free energies using endpoint methods like MM/PBSA or MM/GBSA. These approaches primarily differ in whether separate simulations are run for the complex, free protein, and free ligand, or if data for all components are derived from a single simulation. The choice affects computational cost and potentially accuracy due to sampling differences. (UNVERIFIED)

Sub Class Of molecular mechanics Poisson Boltzmann surface area analysis c
Super Class Of

closure relation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001524
Description

A closure relation is a necessary mathematical approximation used in the Reference Interaction Site Model (RISM) theory to solve its complex equations. It provides a way to relate two different unknown correlation functions, effectively "closing" the system of equations so that a unique solution can be found. The choice of a specific closure relation is a key part of the RISM model that determines its accuracy for different types of molecular liquids. (UNVERIFIED)

Sub Class Of RISM model c
Super Class Of Kovalenko-Hirata closure c

ligand pairs selection criteria c

IRI http://purl.obolibrary.org/obo/MOLSIM_000143
Description

Ligand pairs selection criteria refer to the set of guiding principles and factors considered when choosing pairs of ligands for comparative computational studies, particularly for relative binding free energy calculations. The goal is to select pairs that are sufficiently similar to ensure reliable calculations but also diverse enough to provide meaningful insights. These criteria help optimize the design and feasibility of computational drug discovery campaigns. (UNVERIFIED)

Sub Class Of plan specification c
In Range Of validated ligand selection criteria op
Super Class Of

ref Tversky combo c

IRI http://purl.obolibrary.org/obo/MOLSIM_000463
Description

A comprehensive molecular similarity measure that combines both shape-based RefTversky and chemical feature-based RefColorTversky scores into a single metric. This combined measure provides a more complete assessment of molecular similarity by considering both geometric shape and chemical functionality simultaneously. The resulting score typically ranges from 0 to 2, though it can occasionally exceed this range due to the field-based nature of shape matching.

Sub Class Of Tversky index algorithm c

residue connection atom c

IRI http://purl.obolibrary.org/obo/MOLSIM_001756
Description

A residue connection atom is the specific atom within a residue that is designated to form a chemical bond with an adjacent residue in a polymer. For example, in a protein, the nitrogen atom of one amino acid is the connection atom that bonds to the carbonyl carbon of the previous one. For system building tools, identifying these connection atoms is essential for correctly assembling a polymer chain from its constituent residue units. (UNVERIFIED)

Sub Class Of residue library c

Dijkstra's algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000090
Description

An algorithm for finding the shortest path between a starting node and all other nodes in a graph with non-negative edge weights. It works by iteratively exploring the graph, maintaining the shortest distance found so far to each node, and always extending the path from the node with the current shortest distance. It is fundamental in graph theory and network routing (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

particle-particle particle-mesh c

IRI http://purl.obolibrary.org/obo/MOLSIM_000056
Description

An efficient algorithm for calculating long-range forces (like electrostatic or gravitational) in particle simulations, conceptually similar to Particle Mesh Ewald (PME). It splits the force calculation into a short-range part computed directly between nearby particles (particle-particle) and a long-range part computed using a grid and Fast Fourier Transforms (particle-mesh). PPPM is widely used in both astrophysics and molecular simulation for its performance and accuracy (UNVERIFIED).

Sub Class Of electrostatic interaction algorithm c

markov chain model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000850
Description

A Markov State Model (MSM) is a statistical model constructed from molecular simulation data to describe the long-timescale dynamics of the system. It involves partitioning the vast conformational space into a set of discrete states and estimating the probabilities of transitioning between these states based on observed simulation trajectories. MSMs can predict long-time kinetic properties, like folding times or equilibrium populations, even from ensembles of relatively short simulations. (UNVERIFIED)

Sub Class Of enhanced sampling c

TCPB-cpp c

IRI http://purl.obolibrary.org/obo/MOLSIM_001598
Description

TCPB-cpp is a software tool that acts as a bridge, allowing a classical simulation program to communicate with the TeraChem quantum chemistry program. It is a C++ library that provides an Application Programming Interface (API), enabling a molecular dynamics engine to send a small, quantum mechanical (QM) part of the system to TeraChem for a high-performance, GPU-accelerated energy and force calculation. This allows for the creation of powerful and efficient QM/MM simulations, where the speed of a classical simulation is combined with the accuracy of TeraChem's quantum calculations for studying chemical reactions. (UNVERIFIED)

Sub Class Of library c

combo score algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000086
Description

A general term for a similarity score obtained by combining results from multiple different similarity calculation methods or metrics. The rationale is often to capture different aspects of similarity (e.g., structural, feature-based) into a single, potentially more informative score. The specific combination formula and constituent metrics define the particular combo score (UNVERIFIED).

Sub Class Of similarity calculation algorithm c

trajectory meta analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001885
Description

Trajectory meta-analysis refers to a higher level of analysis that involves comparing, contrasting, or combining the results from multiple, independent simulation trajectories. This can be used to improve statistical certainty, assess the convergence of a simulation, or identify the differences in dynamics between a wild-type protein and a mutant. For experts, this approach is essential for drawing robust conclusions that are not dependent on a single simulation run. (UNVERIFIED)

Sub Class Of analysis c
Super Class Of trajectory comparison c

potential mean force convergence step size c

IRI http://purl.obolibrary.org/obo/MOLSIM_001286
Description

An umbrella sampling analysis parameter that specifies the increment or step size used when assessing the convergence of the calculated Potential of Mean Force (PMF). The PMF is calculated using progressively larger amounts of data to check for convergence. The potential of mean force convergence step size is a key parameter for ensuring that the calculated free energy profile is reliable. This is a key parameter for WHAM analysis. (UNVERIFIED)

Sub Class Of umbrella sampling analysis parameter c

ccp4 map format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000608
Description

The CCP4 map format is an industry-standard file format used in structural biology, particularly in X-ray crystallography and cryo-electron microscopy (Cryo-EM). It is designed to store three-dimensional volumetric data, most commonly representing electron density. These maps allow scientists to visualize the shape of molecules like proteins and nucleic acids. (UNVERIFIED)

Sub Class Of volumetric data format c

clustering analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000123
Description

Clustering analysis encompasses algorithms designed to partition a dataset into distinct groups or clusters, such that data points within the same cluster are more similar to each other than to those in other clusters based on chosen features. In molecular simulation, clustering is frequently applied to trajectory data to identify distinct conformational states visited by the system. Various algorithms exist, differing in how similarity and clusters are defined (e.g., k-means, hierarchical clustering). (UNVERIFIED)

Sub Class Of structural analysis c
Super Class Of structure clustering analysis c

RMSD calculation algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001717
Description

An RMSD calculation algorithm is the computational procedure used to quantify the difference between two molecular structures by calculating their Root-Mean-Square Deviation. The algorithm first optimally superimposes the two structures in 3D space to minimize the distances between corresponding atoms. It then calculates the root-mean-square average of these distances, providing a single numerical measure of structural similarity. (UNVERIFIED)

Sub Class Of analysis algorithm c
Super Class Of

aMD dihedral energy threshold c

IRI http://purl.obolibrary.org/obo/MOLSIM_001229
Description

An accelerated MD parameter that specifies the energy threshold for the dihedral energy, below which the boost potential is applied. This parameter controls when the dihedral energy term is biased. The aMD dihedral energy threshold is a key parameter for tuning the aMD simulation. This is often set with the keyword EthreshD. (UNVERIFIED)

Sub Class Of accelerated MD parameter c

analysis data c

IRI http://purl.obolibrary.org/obo/MOLSIM_001084
Description

Analysis data is the information content that is the result of processing raw simulation output. This includes any derived quantities calculated from a trajectory, such as RMSD values over time, a potential of mean force profile, or a list of identified hydrogen bonds. This processed data represents the scientific findings extracted from the simulation. (UNVERIFIED)

Sub Class Of process output c

TIP4P/Ice c

IRI http://purl.obolibrary.org/obo/MOLSIM_000765
Description

A specific variant of the TIP4P water model, parameterized specifically to reproduce the properties of different phases of ice (solid water), as well as liquid water properties. It aims to provide a better description of water's phase diagram, particularly the solid phases, compared to models optimized solely for the liquid state. It is useful for studying freezing, melting, or ice interfaces. (UNVERIFIED)

Sub Class Of water model force field c

software suite c

IRI http://purl.obolibrary.org/obo/MOLSIM_001664
Description

A software suite is a collection of distinct computer programs that are packaged and distributed together to provide a comprehensive set of functionalities. These suites typically share a common installation process and often use compatible file formats to allow data to flow between the different tools in the package. (UNVERIFIED)

Sub Class Of software c
Super Class Of

TINKER c

IRI http://purl.obolibrary.org/obo/MOLSIM_000789
Description

A freely available software package for molecular mechanics and dynamics simulations. TINKER provides implementations of various standard force fields (AMBER, CHARMM, OPLS, MMFF) and includes tools for energy minimization, MD simulation, free energy calculations, and structural analysis. It is particularly notable for its implementation of polarizable force fields (e.g., AMOEBA) and its modular design. (UNVERIFIED)

Sub Class Of software suite c

FFTW c

IRI http://purl.obolibrary.org/obo/MOLSIM_001567
Description

FFTW is a highly optimized software library for computing the discrete Fourier transform, a fundamental mathematical operation used in many scientific applications. In biomolecular simulations, it is most commonly used to perform the Fast Fourier Transform (FFT) required for the Particle Mesh Ewald (PME) method of calculating long-range electrostatic forces. For simulation engines, using the FFTW library is essential for achieving high performance in the most computationally demanding part of the simulation. (UNVERIFIED)

Sub Class Of library c

RISM model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001535
Description

The RISM model is a sophisticated theoretical method used to predict how solvent molecules, like water, will arrange themselves around a central molecule. The Reference Interaction Site Model (RISM) is a statistical-mechanical theory of molecular liquids that calculates the distribution of solvent atoms around a solute by solving a set of integral equations. It provides a detailed, atomistic picture of the solvation structure and can be used to calculate thermodynamic properties like the solvation free energy, offering a powerful alternative to explicit solvent simulations. (UNVERIFIED)

Sub Class Of solvation model c
Super Class Of

AMBER eigenvector format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000600
Description

The Amber evecs eigenvector file is a specialized output from Principal Component Analysis (PCA), normal mode analysis, or quasiharmonic analysis in AMBER (using cpptraj or ptraj). This file stores the eigenvectors (or “principal modes”) and eigenvalues resulting from the diagonalization of a covariance or mass-weighted covariance matrix, commonly used in essential dynamics analysis of molecular simulations. The output file is usually called evecs.dat, evecs.out, or follows a similar naming scheme. There is no fixed "file extension" required; however, the content and formatting are standardized for compatibility with AMBER utilities (e.g., cpptraj, ptraj),

Sub Class Of simulation log format c

single trajectory c

IRI http://purl.obolibrary.org/obo/MOLSIM_000239
Description

The single trajectory approach, often used in MM/PBSA and MM/GBSA calculations, involves running only one molecular dynamics simulation of the protein-ligand complex. Snapshots of the complex, the protein alone, and the ligand alone are then extracted directly from this single trajectory for endpoint free energy calculations. This reduces the computational cost compared to running three separate simulations but assumes the conformations sampled in the complex are representative for the free states. (UNVERIFIED)

Sub Class Of trajectory approach analysis c

long-range electrostatic method parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001192
Description

An electrostatic parameter that specifies the algorithm used to calculate long-range electrostatic interactions in a periodic system. Common choices include Particle Mesh Ewald (PME), Ewald sum, or reaction field methods. The choice of long-range electrostatic method parameter is one of the most important for the accuracy of simulations of biomolecules. This is often set with keywords like ewald or coulombtype. (UNVERIFIED)

Sub Class Of electrostatic parameter c

RAMD boost strength c

IRI http://purl.obolibrary.org/obo/MOLSIM_001236
Description

A random acceleration MD parameter that specifies the strength of the acceleration boost applied in a Random Acceleration Molecular Dynamics (RAMD) simulation. This parameter controls the magnitude of the random forces used to accelerate the system's exploration. The RAMD boost strength is a key parameter for tuning the RAMD simulation. This is often set with the keyword ramdboost. (UNVERIFIED)

Sub Class Of random acceleration MD parameter c

process specification c

IRI http://purl.obolibrary.org/obo/MOLSIM_001074
Description

A process specification is the abstract set of instructions and parameters that define how a computational task, like a simulation or an analysis, should be performed. It represents the complete plan for the process, including the choice of algorithms, control settings, and input files. This specification is what must be recorded to ensure a computational experiment is fully reproducible. (UNVERIFIED)

Sub Class Of information content entity c
Super Class Of

hydrogen bond analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000450
Description

Hydrogen bond analysis is a structural analysis method used to identify and quantify the hydrogen bonds that are formed and broken during a simulation. The analysis typically uses a set of geometric criteria, such as a maximum distance between the donor and acceptor atoms and a minimum angle, to define when a hydrogen bond exists. For researchers, tracking the number and lifetime of hydrogen bonds is a fundamental way to understand the stability of protein and nucleic acid structures. (UNVERIFIED)

Sub Class Of structural analysis c

CHARMM topology format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001077
Description

A category of data formats used by the CHARMM simulation package to describe the molecular topology of a system. These formats define the atoms, connectivity, and the chemical nature of residues. (UNVERIFIED)

Sub Class Of molecular topology format c

PDDG/PM3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001456
Description

PDDG/PM3 is a specific semi-empirical quantum mechanical method that is a modification of the standard PM3 method. The PDDG (Pairwise Distance Directed Gaussian) part refers to the addition of Gaussian correction functions to the core-core repulsion terms to improve the description of non-covalent interactions. For experts, PDDG/PM3 is a refinement that aims to provide better accuracy for intermolecular interaction energies compared to the original PM3 method. (UNVERIFIED)

Sub Class Of semi-empirical method c

GROMACS index format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002037
Description

A text-based file format used by GROMACS to define specific subsets or groups of atoms within a molecular system. It lists atom indices assigned to named groups, allowing users to apply specific actions (like thermostatting, restraining, or analyzing) to just those selected parts. For experts, this file (extension .ndx) is generated by gmx make_ndx and is essential for setting up non-standard simulation protocols where default groups like "Protein" or "Solvent" are insufficient. (UNVERIFIED)

Sub Class Of simulation input format c

surface area calculation algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001715
Description

A surface area calculation algorithm is a procedure used to compute the area of a molecule's surface that is accessible to a solvent. This is a key analysis for understanding how a molecule interacts with its environment. For experts, this category includes specific algorithms like the Shrake-Rupley method or the LCPO algorithm, which are essential for implicit solvent models and for characterizing protein packing and cavities. (UNVERIFIED)

Sub Class Of analysis algorithm c
Super Class Of

amber ff15ipq c

IRI http://purl.obolibrary.org/obo/MOLSIM_001440
Description

This is a specialized force field for simulating proteins that pays extra attention to how proteins interact with water and charged ions. The AMBER ff15ipq force field was developed to improve the description of protein interactions with ions by using a novel charge model (Implicitly Polarized Charge, IPq) that better reproduces experimental hydration free energies. This force field is particularly recommended for simulations where the accurate modeling of protein-ion interactions or salt bridge dynamics is critical to the system's behavior. (UNVERIFIED)

Sub Class Of protein force field c

Lebedev quadrature algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001695
Description

Lebedev quadrature is a specific numerical integration algorithm designed for accurately integrating functions over the surface of a sphere. It uses a predefined set of points and weights on the sphere that are optimized for high efficiency. For computational chemists, this algorithm is a standard and critical component of Density Functional Theory (DFT) calculations for evaluating the angular part of the exchange-correlation functional. (UNVERIFIED)

Sub Class Of numerical integration algorithm c

private communication source c

IRI http://purl.obolibrary.org/obo/MOLSIM_000722
Description

Information or data obtained directly from an individual researcher or expert through informal means such as email, conversation, or unpublished notes, rather than through a formal publication or public database. While sometimes necessary, such sources are typically less verifiable and are often used for supplementary or preliminary information. (UNVERIFIED)

Sub Class Of private source c

area unit c

IRI http://purl.obolibrary.org/obo/UO_0000047
Description

A unit which is a standard measure of the amount of a 2-dimensional flat surface.

Sub Class Of unit c
Super Class Of square angstrom c

orientations of proteins in membranes c

IRI http://purl.obolibrary.org/obo/MOLSIM_000466
Description

OPM database (Orientations of Proteins in Membranes) is both a database and a web server/tool providing pre-calculated transmembrane orientations and positions for experimentally determined membrane protein structures found in the PDB. OPM uses a computational approach based on minimizing the calculated transfer free energy from water to the lipid bilayer to determine the most likely membrane boundaries and protein position relative to the bilayer center. It's a valuable resource for obtaining initial membrane protein placements for simulations. (UNVERIFIED)

Sub Class Of

thermochemical analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000612
Description

A specific type of thermal properties analysis focused on quantifying the heat absorbed or released during chemical reactions or phase transitions, often involving the calculation of enthalpies of formation, reaction enthalpies, or activation enthalpies. Typically employing quantum mechanical methods or specialized simulation setups, this analysis provides fundamental data on the energetics of chemical transformations. It helps predict reaction feasibility and energy output/input. (UNVERIFIED)

Sub Class Of thermal property analysis c

BAR/PBSA analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000648
Description

The BAR/PBSA method is a hybrid free energy calculation technique that combines the Bennett Acceptance Ratio (BAR) method with MM/PBSA endpoint calculations. It likely uses BAR to calculate the free energy change for a short-range, explicit part of the system, and then adds a correction for the long-range solvation effects using the faster MM/PBSA method. For experts, this represents a multi-step approach to balance the rigor of alchemical methods with the efficiency of continuum solvent models. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

plane-wave c

IRI http://purl.obolibrary.org/obo/MOLSIM_000580
Description

A type of quantum mechanics basis set consisting of periodic sine and cosine functions (waves) defined by their direction and wavelength. Plane waves are particularly well-suited for calculations on periodic systems like crystals or surfaces, often used in conjunction with Density Functional Theory and pseudopotentials. Their systematic improvability by increasing the number of waves (controlled by an energy cutoff) is a key advantage in solid-state simulations (UNVERIFIED).

Sub Class Of quantum mechanics basis set c

free energy calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000615
Description

A central focus within thermodynamics analysis aiming to compute the free energy (typically Gibbs or Helmholtz free energy) of a system or, more commonly, the free energy difference (ΔG or ΔA) between different states (e.g., bound vs. unbound, folded vs. unfolded). Free energy combines energy (enthalpy) and disorder (entropy) to determine the thermodynamic favorability and equilibrium position of molecular processes under constant temperature and pressure/volume. Calculating free energies often requires enhanced sampling MD techniques or other specialized computational methods complementary to basic MD. (UNVERIFIED)

Sub Class Of thermodynamics analysis c
Super Class Of

monte carlo simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000325
Description

A stochastic simulation method that relies on repeated random sampling to explore the configurational space of a molecular system. Unlike molecular dynamics, which integrates equations of motion over time, Monte Carlo generates a sequence of states by proposing random trial moves (such as atom displacements or molecular rotations) and accepting or rejecting them based on a thermodynamic probability criterion, typically the Metropolis algorithm. It is widely used for calculating equilibrium thermodynamic properties and sampling conformational ensembles. (UNVERIFIED)

Sub Class Of simulation method c

constant pH replica-exchange molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000370
Description

Constant pH replica-exchange molecular dynamics is an advanced enhanced sampling method that combines constant pH simulations with the replica-exchange technique. It runs multiple simulations in parallel, each at a different target pH value, and periodically attempts to swap coordinates between them. For experts, this method dramatically enhances the sampling of both conformational and protonation state space, making it a powerful tool for studying complex pH-dependent phenomena. (UNVERIFIED)

Sub Class Of replica-exchange molecular dynamics c

thermodynamic integration analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000355
Description

Thermodynamic Integration (TI) is a rigorous statistical mechanics method used to calculate free energy differences between two defined states (e.g., A and B) by simulating a reversible, non-physical transformation pathway connecting them. It involves calculating the ensemble average of the derivative of the system's energy with respect to a coupling parameter (λ) at several points along the path and integrating this derivative over the path (ΔG=∫01 ⟨∂H/∂λ⟩ λdλ). This framework encompasses various specific approaches and implementation details. (UNVERIFIED)

Sub Class Of alchemical free energy analysis c
Super Class Of

molecular topology c

IRI http://purl.obolibrary.org/obo/MOLSIM_001076
Description

Molecular topology is the information that describes the chemical connectivity and properties of a molecule for a simulation. It includes the list of atoms, the bonds connecting them, and the assignment of atom types and partial charges from a specific force field. The topology provides the blueprint that the simulation engine uses to know how to calculate the forces between atoms. (UNVERIFIED)

Sub Class Of molecular system specification c
In Domain Of

membrane protein orientation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000227
Description

A computational tool designed to predict or determine the likely orientation and transmembrane embedding depth of a protein structure within a lipid bilayer. Correctly positioning a membrane protein in the bilayer is a critical first step for setting up realistic membrane protein simulations. These tools often use algorithms based on hydrophobicity analysis, sequence features, or structural properties to find the most favorable position relative to the hydrophobic core and hydrophilic headgroup regions of the membrane. Examples include OPM, PPM, MemProtMD, and MemEmbed. (UNVERIFIED)

Sub Class Of modeling and setup tool c
Super Class Of

binpos format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000352
Description

A .binpos file is a binary format used to store atomic coordinate frames from a molecular dynamics simulation. The name itself stands for "binary position." This format is often referred to as the "Scripps 'binpos' format" and is recognized by Amber's analysis tools like cpptraj and other programs such as VMD.

Sub Class Of molecular trajectory format c

molecular termini state c

IRI http://purl.obolibrary.org/obo/MOLSIM_001214
Description

A system setup parameter that specifies the chemical state of the N- and C-termini of a polymer chain. This parameter indicates whether the termini are neutral (capped) or charged (uncapped). The molecular termini state is a key descriptor of the chemical composition of the simulated protein or nucleic acid. This is often controlled by a termini capping flag. (UNVERIFIED)

Sub Class Of system setup parameter c

hydration analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000983
Description

A specific type of solvent analysis focusing on the direct interaction of water molecules with a solute molecule. It involves characterizing the arrangement, orientation, dynamics, and energetics of water molecules in the immediate vicinity of the solute, often referred to as the hydration shell(s). Understanding hydration patterns is critical as these interfacial water molecules strongly influence the solute's structure, stability, dynamics, and interactions with other molecules. (UNVERIFIED)

Sub Class Of solvent analysis c
Super Class Of water shell analysis c

analysis script c

IRI http://purl.obolibrary.org/obo/MOLSIM_000911
Description

An analysis script contains a sequence of commands or code written for a specific analysis program or library (like Amber's cpptraj, VMD's Tcl interface, or Python libraries like MDAnalysis). These scripts automate the process of reading simulation output data (especially trajectories) and performing calculations such as RMSD, hydrogen bond analysis, distance measurements, or principal component analysis. They define the workflow for extracting meaningful insights from raw simulation data. (UNVERIFIED)

Sub Class Of process specification c

all-atom force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000737
Description

A force field that explicitly includes parameters for every atom in the simulated system, including hydrogen atoms. This approach provides a high level of detail and aims for greater physical realism compared to coarse-grained models. All-atom simulations are generally more computationally intensive due to the larger number of particles. (UNVERIFIED)

Sub Class Of resolution-based force field c

xpm format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001041
Description

The GROMACS XPM file is an ASCII text file format used by the GROMACS molecular dynamics suite to store two-dimensional matrix data. It is a specialized application of the general XPixMap (.xpm) format, adapted to represent scientific data such as distance matrices, root-mean-square deviation (RMSD) matrices, or hydrogen bond patterns. The format is human-readable and designed for easy visualization. It encodes numerical data as a color-coded image defined by characters, making it viewable with standard XPM viewers and convertible into graphical formats like PostScript using GROMACS utilities such as gmx xpm2ps. (UNVERIFIED)

Sub Class Of distance matrix format c

membrane protein system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001910
Description

A membrane protein system is a specific type of protein system where the protein is embedded within a lipid bilayer, mimicking its native environment in a cell membrane. These are among the most complex and computationally demanding types of simulations to set up and run. For experts, these simulations are essential for understanding the function of a huge class of proteins that act as channels, transporters, and receptors in the cell. (UNVERIFIED)

Sub Class Of protein system c

time-averaged restraint simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000510
Description

A time-averaged restraint simulation is an advanced simulation method where the restraining potential is applied not to the instantaneous structure, but to the average of a property over a period of time. This is particularly useful for incorporating experimental data, like from NMR, which is also an average over time and a molecular ensemble. For experts, this method provides a more physically meaningful way to enforce experimental restraints that reflect the dynamic nature of the molecule. (UNVERIFIED)

Sub Class Of restrained simulation method c

periodic boundary imaging analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000659
Description

Periodic boundary imaging is a fundamental post-processing step in structural analysis that is used to make simulation trajectories easier to visualize. It corrects for the fact that molecules can become "broken" or jump across the box when they cross a periodic boundary. The imaging algorithm translates the coordinates of the atoms to ensure that molecules remain whole and centered in the box, providing a continuous and visually coherent movie of the dynamics. (UNVERIFIED)

Sub Class Of structural analysis c
Super Class Of image bond fixing analysis c

GaMD potential boost stddev limit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001234
Description

A Gaussian accelerated MD parameter that specifies the upper limit of the standard deviation for the potential energy boost. This parameter controls the maximum strength of the applied bias. The GaMD potential boost stddev limit is a key parameter for tuning the GaMD simulation. This is often set with keywords like sigma0P or sigma0D. (UNVERIFIED)

Sub Class Of Gaussian accelerated MD parameter c

pucker analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000927
Description

A specialized local structure analysis used to describe and quantify the non-planar conformation (puckering) of cyclic molecular fragments, particularly five-membered (e.g., furanose rings in DNA/RNA, proline) or six-membered rings (e.g., pyranose rings, cyclohexane). It employs parameters like pseudorotation angles and amplitudes to precisely define the ring's shape (e.g., envelope, twist, chair, boat conformations). This analysis is vital for understanding the structure and function of nucleic acids and carbohydrates. (UNVERIFIED)

Sub Class Of local structure analysis c
Super Class Of

QM charge c

IRI http://purl.obolibrary.org/obo/MOLSIM_001246
Description

A QM/MM parameter that specifies the total integer charge of the quantum mechanical (QM) region. This is a critical parameter for ensuring that the QM calculation is performed with the correct electronic state. The QM charge must be set correctly for the QM/MM simulation to be physically meaningful. This is often set with the keyword qmcharge. (UNVERIFIED)

Sub Class Of QM/MM parameter c

Gibbs sampling replica exchange c

IRI http://purl.obolibrary.org/obo/MOLSIM_002014
Description

Gibbs sampling replica exchange is an advanced simulation method used to efficiently explore the different shapes and energy states of a molecule. Unlike standard replica exchange which attempts to swap temperatures between neighboring simulations, this method attempts to swap configurations among all running simulations simultaneously based on a global probability criterion. For experts, this approach replaces the Metropolis swap criterion with a Gibbs sampling scheme, potentially increasing the rate of round-trips in temperature space and reducing the bottleneck of diffusion between adjacent replicas. (UNVERIFIED)

Sub Class Of replica-exchange molecular dynamics c

translational entropy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001329
Description

A component of entropy that arises from the translational motion of molecules. It quantifies the disorder associated with the possible positions of a molecule's center of mass. The translational entropy is a key component of the total entropy of a system. This value is often reported as dTStrans in quasi-harmonic analysis outputs. (UNVERIFIED)

Sub Class Of entropy c

ab-initio method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000685
Description

Ab initio methods (Latin for "from the beginning") are a class of quantum chemistry computational techniques that solve the electronic Schrödinger equation based solely on fundamental physical constants and the identities of the atoms involved, without using parameters derived from experimental data. These methods, like Hartree-Fock and subsequent correlation methods (MPn, Coupled Cluster), aim for high accuracy based on first principles but are typically computationally expensive. They contrast with empirical or semi-empirical methods. (UNVERIFIED)

Sub Class Of theoretical approach c
Super Class Of Hartree-Fock c

molecular mechanics Poisson-Boltzmann surface area tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000460
Description

A computational tool or script that implements the MM/PBSA (Molecular Mechanics / Poisson-Boltzmann Surface Area) method for estimating free energy changes, typically ligand binding affinities or solvation free energies. This approach involves calculating molecular mechanics energies (MM), electrostatic solvation free energies using the Poisson-Boltzmann (PB) equation, and non-polar solvation free energies using a term proportional to the Solvent Accessible Surface Area (SASA), usually averaged over snapshots from an MD trajectory. It's an endpoint free energy method, computationally cheaper than FEP or TI but generally considered less rigorous. (UNVERIFIED)

Sub Class Of endpoint free energy tool c
Super Class Of

ensemble trajectory analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001433
Description

Ensemble trajectory analysis is a method that involves analyzing a large collection of independent simulation trajectories together, rather than just a single long one. This approach provides a more robust and statistically reliable picture of a molecule's behavior by sampling a wider range of starting conditions and potential pathways. It is particularly important for studying complex processes like protein folding or for achieving converged statistics on a system's properties. (UNVERIFIED)

Sub Class Of dynamics analysis c

CHARMM crd format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001052
Description

CHARMM commonly uses coordinate files in its own CARD format (.crd), which is a formatted ASCII file including atom coordinates along with atom numbers, residue names/numbers, atom types, and possibly weighting factors. It often starts with a title section describing the system. CHARMM also readily reads and writes coordinates in the standard Protein Data Bank (PDB) format. (UNVERIFIED)

Sub Class Of crd format c

DNA-ligand system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001891
Description

A DNA-ligand system is a specific type of ligand complex system composed of a DNA molecule interacting with a small molecule ligand. These simulations are used to study how drugs or other small molecules bind to DNA, which can be a mechanism for anti-cancer or anti-viral therapies. For experts, these systems are important for understanding intercalation, groove binding, and the structural changes induced in DNA upon ligand binding. (UNVERIFIED)

Sub Class Of ligand complex system c

script c

IRI http://purl.obolibrary.org/obo/MOLSIM_001802
Description

A script is a computer program, usually written in a high-level scripting language like Python or Perl, that automates a sequence of tasks. Unlike a compiled simulation engine, a script is interpreted directly to execute a series of commands or operations. In biomolecular simulation, scripts are essential for automating repetitive tasks such as preparing input files, submitting jobs to a cluster, and processing output data. (UNVERIFIED)

Sub Class Of software c
Super Class Of

minimization c

IRI http://purl.obolibrary.org/obo/MOLSIM_000494
Description

Minimization is a computational step that relaxes a molecular structure to remove any bad clashes between atoms. As a stage of the preparation process, energy minimization is a procedure that adjusts the atomic coordinates to find a nearby local minimum on the potential energy surface, thereby removing steric strain from the initial model. This is achieved by using algorithms like steepest descent or conjugate gradient to iteratively reduce the net forces on the atoms until a convergence criterion, such as grms_tol, is met. This process is referred to in log files and inputs with terms like "MINIMIZATION," "ntmin=1," "emtol," and "ncyc." (UNVERIFIED)

Sub Class Of preparation c

ion concentration calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000330
Description

An ion concentration calculation method is the procedure used to determine the exact number of positive and negative ions that need to be added to a simulation box to achieve a target salt concentration. This calculation must account for the volume of the box and the number of counter-ions already added to neutralize the solute molecule. For experts, accurately performing this calculation is a mandatory step for preparing a system that correctly models the desired ionic strength. (UNVERIFIED)

Sub Class Of ion placement analysis c

Euclidean distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_000078
Description

A common method for calculating the distance between two points (e.g., representing molecules in a multi-dimensional property space or conformations by atom coordinates) based on the straight-line distance in that space. It is calculated as the square root of the sum of squared differences between corresponding coordinates or features. Lower Euclidean distance implies higher similarity in the context of the chosen space (UNVERIFIED).

Sub Class Of statistical property c

pH c

IRI http://purl.obolibrary.org/obo/MOLSIM_001211
Description

A system setup parameter that specifies the pH value of the solution being simulated. The pH affects the protonation states of titratable residues in proteins and ligands. This is a critical parameter for ensuring that the simulation accurately represents the experimental conditions. This is often set with the keyword solvph. (UNVERIFIED)

Sub Class Of system setup parameter c

Andersen thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000047
Description

A thermostat algorithm that maintains temperature by introducing stochastic collisions between randomly selected particles and fictitious heat bath particles. When a particle "collides," its velocity is reassigned from a Maxwell-Boltzmann distribution corresponding to the target temperature. This method correctly generates configurations from the canonical (NVT) ensemble (UNVERIFIED).

Sub Class Of thermostat algorithm c

generalized Born surface area c

IRI http://purl.obolibrary.org/obo/MOLSIM_000271
Description

A method (often abbreviated GB/SA) for calculating the free energy of solvation, similar to PB/SA, but using a Generalized Born (GB) model instead of the Poisson-Boltzmann equation to compute the electrostatic contribution. It combines the GB electrostatic energy with a non-polar energy term proportional to the solvent-accessible surface area (SASA). GBSA offers a computationally much cheaper alternative to PB/SA for estimating solvation free energies, suitable for use during simulations or large-scale analyses, though potentially less accurate depending on the GB implementation and system. (UNVERIFIED)

Sub Class Of implicit solvent model c

yaml format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000318
Description

YAML is a human-readable data serialization format that relies on indentation to define structure, making it exceptionally easy to read and edit. In the context of computational chemistry, it is frequently employed for configuration files, defining software environments (e.g., Conda), and specifying parameters for automated simulation workflows and pipelines. (UNVERIFIED)

Sub Class Of general data format c

isotropic reorientational eigenmode dynamics analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000452
Description

Isotropic reorientational eigenmode dynamics is an advanced dynamics analysis method used to study the overall rotational motion of a molecule. It decomposes the complex tumbling of a molecule in solution into a set of simpler, independent rotational modes, or eigenmodes. For experts, this method provides a detailed picture of the molecule's rotational diffusion, which can be compared to experimental data from techniques like NMR relaxation. (UNVERIFIED)

Sub Class Of dynamics analysis c

DIIS attempts c

IRI http://purl.obolibrary.org/obo/MOLSIM_001257
Description

A DIIS parameter that specifies the number of DIIS extrapolation attempts to be made to aid SCF convergence. This parameter controls how aggressively the DIIS algorithm is applied. The DIIS attempts is a key parameter for tuning the SCF convergence. This is often set with the keyword ndiis_attempts. (UNVERIFIED)

Sub Class Of DIIS parameter c

cc-pVTZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000523
Description

The cc-pVTZ (correlation-consistent polarized Valence Triple-Zeta) basis set provides three functions for each valence orbital, along with appropriate polarization functions (d,f for heavy atoms; p,d for H) optimized for correlation energy recovery. It offers substantially higher accuracy than cc-pVDZ for correlated calculations and is widely used as a good balance between accuracy and computational cost for many applications. (UNVERIFIED)

Sub Class Of split-valence c

hyperpolarizability c

IRI http://purl.obolibrary.org/obo/MOLSIM_001381
Description

A specific type of polarizability that describes the non-linear response of a molecule's electron cloud to a strong external electric field. It is relevant for describing non-linear optical phenomena. The hyperpolarizability is an advanced electronic property calculated using high-level quantum chemistry methods. This is often reported as Hyperpolarizability in relevant calculations. (UNVERIFIED)

Sub Class Of polarizability c

Nosé-Hoover thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000048
Description

A deterministic thermostat algorithm that controls temperature by introducing an extended degree of freedom (a thermostat variable) that dynamically couples to the physical system's kinetic energy. This extended variable evolves according to its own equation of motion, causing the physical system's temperature to fluctuate around the target value in a way consistent with the canonical (NVT) ensemble. It avoids the stochastic elements of Langevin or Andersen thermostats (UNVERIFIED).

Sub Class Of thermostat algorithm c

hysteresis analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000137
Description

Hysteresis, in the context of free energy calculations or sampling along a coordinate, refers to the phenomenon where the results obtained depend on the direction in which a simulation parameter or collective variable is changed (e.g., forward vs. backward transformation). Observing significant hysteresis often indicates insufficient sampling or that the system is not remaining close to equilibrium during the process. Minimizing hysteresis is a key goal in demonstrating convergence for certain free energy methods. (UNVERIFIED)

Sub Class Of convergence and uncertainty quantification analysis c

magnetic spectroscopy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001017
Description

Magnetic spectroscopy encompasses methods that probe the magnetic properties of matter, typically arising from the intrinsic angular momentum (spin) of electrons and atomic nuclei. Techniques like Electron Paramagnetic Resonance (EPR) and Nuclear Magnetic Resonance (NMR) usually involve applying a strong magnetic field and measuring interactions with microwave or radiofrequency radiation. These methods yield detailed information about structure, dynamics, and electronic environments around magnetic centers. (UNVERIFIED)

Sub Class Of spectroscopy c
Super Class Of

lambda-dynamics free energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000418
Description

Lambda-dynamics is a free energy calculation method where the coupling parameter, lambda, is treated as a dynamic variable that evolves in time, just like an atomic coordinate. A fictitious mass is assigned to lambda, and its "motion" along the transformation pathway is simulated, allowing it to sample different intermediate states. For experts, this method can enhance the sampling of the alchemical pathway and provide an estimate of the free energy profile from the distribution of the lambda coordinate. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

SSR/SST ratio c

IRI http://purl.obolibrary.org/obo/MOLSIM_001419
Description

A specific clustering quality metric that represents the ratio of the sum of squares between clusters (SSR) to the total sum of squares (SST). A value close to 1 indicates that the clusters are well-separated. The SSR/SST ratio is a measure of the variance explained by the clustering. This is a standard statistical measure. (UNVERIFIED)

Sub Class Of clustering quality metric c

free energy perturbation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000266
Description

Free Energy Perturbation (FEP) is an alchemical method for calculating free energy differences between two states (A and B) by simulating a series of intermediate states that gradually transform A into B. The free energy change between adjacent intermediate states (λ and λ+Δλ) is calculated using the Zwanzig equation, which involves ensemble averaging the energy difference exponentiated. Summing the free energy changes over all intermediate steps yields the total free energy difference between A and B. (UNVERIFIED)

Sub Class Of alchemical free energy analysis c

downhill simplex minimizer algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001712
Description

The downhill simplex minimizer, also known as the Nelder-Mead algorithm, is an optimization algorithm used to find the minimum of a function in a multi-dimensional space. It works by evaluating the function at the vertices of a geometric shape (a simplex) and iteratively moving, shrinking, or expanding the simplex towards the minimum. For experts, this algorithm is notable because it does not require the calculation of gradients, making it useful for optimizing complex or noisy functions. (UNVERIFIED)

Sub Class Of energy minimization algorithm c

solvent analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000974
Description

A category of analysis methods focused specifically on characterizing the structure, dynamics, and properties of the solvent molecules (most commonly water) surrounding a solute molecule within a simulation. This includes examining solvent density and distribution around the solute, analyzing hydrogen bonding networks within the solvent and between solvent and solute, calculating residence times of solvent molecules near the solute, and assessing the overall impact of the solvent on solute behavior. It provides crucial insights into solvation phenomena. (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of

unit tail atom c

IRI http://purl.obolibrary.org/obo/MOLSIM_001758
Description

The unit tail atom is the atom in a residue library that is defined as the "end" of the residue, typically the one that connects to the next residue in a chain. In a standard amino acid, this would be the backbone carbonyl carbon atom. This convention is used by system building programs to correctly link residue units together to form a polymer. (UNVERIFIED)

Sub Class Of residue library c

Gaussian accelerated MD parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001233
Description

A type of enhanced sampling parameter that controls a Gaussian accelerated molecular dynamics (GaMD) simulation. These parameters define the upper limit of the standard deviation for the potential energy boost. The Gaussian accelerated MD parameter settings are crucial for controlling the balance between accuracy and enhanced sampling. These are often set in a specific gamd section of the input file. (UNVERIFIED)

Sub Class Of enhanced sampling parameter c
Super Class Of GaMD potential boost stddev limit c

vibrational spectroscopy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001009
Description

This branch of spectroscopy specifically investigates the vibrational motions within molecules – the ways chemical bonds stretch, bend, and twist. Techniques in this area measure the characteristic frequencies (energies) of these vibrations, often using infrared light or laser light scattering (Raman). The resulting vibrational spectrum acts like a molecular fingerprint, revealing structural information and identifying chemical groups. (UNVERIFIED)

Sub Class Of spectroscopy c
Super Class Of

SPC c

IRI http://purl.obolibrary.org/obo/MOLSIM_000769
Description

The Simple Point Charge water model, a widely used rigid 3-point water model. It has a slightly different geometry (ideal tetrahedral H-O-H angle) and parameter set compared to TIP3P. SPC is known for its computational efficiency and reasonable reproduction of some structural and dynamic properties of water. (UNVERIFIED)

Sub Class Of water model force field c

electrostatic potential calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000634
Description

The computational procedure within surface potential analysis used to determine the electrostatic potential generated by the molecule's charge distribution (nuclei and electrons) at specific points in space. This potential is typically calculated using the molecule's wavefunction or electron density and visualized on a surface to reveal its electrostatic character. The results are valuable for predicting intermolecular interactions and reaction sites. (UNVERIFIED)

Sub Class Of surface potential analysis c

crystal lattice environment c

IRI http://purl.obolibrary.org/obo/MOLSIM_002073
Description

A crystal lattice environment is a highly ordered, solid-state simulation context where molecules are packed into a rigid, repeating three-dimensional array governed by a specific crystallographic space group. This represents the macroscopic state of a molecular crystal. For structural biologists and simulation experts, this environment is used to simulate X-ray crystallography conditions, study crystal packing forces, or investigate solid-state material properties. (UNVERIFIED)

Sub Class Of simulation environment c

mass unit c

IRI http://purl.obolibrary.org/obo/UO_0000002
Description

A unit which is a standard measure of the amount of matter/energy of a physical object.

Sub Class Of unit c
Super Class Of dalton based unit c

beta sheet c

IRI http://purl.obolibrary.org/obo/MOLSIM_001782
Description

A beta sheet is a common shape in proteins where parts of the amino acid chain line up side-by-side like ribbons in a flat, pleated sheet. It is a secondary structure motif formed by two or more extended polypeptide chains, called beta-strands, which are linked laterally by a regular pattern of hydrogen bonds between their backbone atoms. These sheet structures form the rigid core of many proteins and are critical for creating binding surfaces for other molecules. (UNVERIFIED)

Sub Class Of secondary structure c
Super Class Of

thermalization c

IRI http://purl.obolibrary.org/obo/MOLSIM_000208
Description

A step within the preparation or equilibration phase where the system's temperature is gradually raised or adjusted to the desired target temperature for the production simulation. This is typically done by coupling the system to a thermostat while velocities are assigned or rescaled. Proper thermalization ensures the system reaches the correct kinetic energy distribution before equilibration or production runs. (UNVERIFIED)

Sub Class Of preparation c

force calculation algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000384
Description

A force calculation algorithm is the computational engine of a molecular dynamics simulation, responsible for determining the forces acting on every atom at each time step. These algorithms compute forces by taking the derivative of the potential energy function defined by the force field, which includes terms for bonds, angles, and non-bonded (van der Waals and electrostatic) interactions. Because calculating the non-bonded forces between all pairs of atoms is the most computationally intensive part of the simulation, specialized methods like Particle Mesh Ewald (PME) are used to perform this step efficiently. (UNVERIFIED)

Sub Class Of simulation control algorithm c
Super Class Of

ligand Gaussian accelerated molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000397
Description

Ligand Gaussian accelerated molecular dynamics is a specific application of the GaMD method focused on enhancing the sampling of a ligand's movement and conformational changes. The boost potential is applied in a way that specifically accelerates the dynamics of the ligand, its binding site, or both. For experts, this method is a powerful tool for exploring ligand binding pathways and estimating binding free energies. (UNVERIFIED)

Sub Class Of Gaussian accelerated molecular dynamics c
Super Class Of

CHARMM 19 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000752
Description

An earlier force field parameter set from the CHARMM family, notable for being a 'united-atom' force field for proteins. In this representation, nonpolar hydrogen atoms (e.g., on CH, CH2, CH3 groups) are implicitly included in the heavy atoms they are attached to, reducing the number of particles and computational cost compared to all-atom models. It is less commonly used today for high-resolution studies. (UNVERIFIED)

Sub Class Of protein force field c

aug-cc-pCVTZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000557
Description

The aug-cc-pCVTZ basis set provides a triple-zeta quality description augmented with both diffuse functions ('aug-') and tight core-correlating functions ('-CV'). This large basis set is designed for high-accuracy calculations where describing core-valence correlation and effects requiring diffuse functions (like anion stability or intermolecular interactions) are simultaneously important. (UNVERIFIED)

Sub Class Of split-valence c

nef format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001120
Description

A standard text-based file format designed for exchanging NMR-derived information, particularly structural restraints like distances and angles. It provides a standardized way to represent experimental data used for structure calculation and simulation refinement. (UNVERIFIED)

Sub Class Of NMR data format c

molar c

IRI http://purl.obolibrary.org/obo/UO_0000062
Description

A unit of concentration which expresses a concentration of 1 mole of solute per liter of solution (mol/L).

Sub Class Of molar based unit c

cein format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001103
Description

The cein format is a specialized input file used for simulations that model the gain and loss of electrons by molecules. It defines the properties of residues that can exist in different oxidation states, such as a cysteine that can be oxidized or reduced. This file provides the necessary parameters for a constant redox potential simulation, allowing the system to dynamically change its electronic state in response to a defined electrochemical potential. (UNVERIFIED)

Sub Class Of simulation parameter format c

kinetic property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001391
Description

A type of output data descriptor that describes the motion and time-evolution of a system. These properties are directly related to the movement of atoms and molecules, as opposed to their static structure. They are calculated from the time-series data in a simulation trajectory. These properties are often calculated from trajectory analysis of MD simulations. (UNVERIFIED)

Sub Class Of computed observable c
Super Class Of

umbrella sampling parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001224
Description

A type of enhanced sampling parameter that controls an umbrella sampling simulation, where a biasing potential is used to confine the system to specific windows along a reaction coordinate. These parameters define the location and strength of the biasing potential in each window. The umbrella sampling parameter settings are essential for setting up simulations to calculate a potential of mean force. These are often set in the input file for each window. (UNVERIFIED)

Sub Class Of enhanced sampling parameter c
Super Class Of

aug-cc-pVTZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000545
Description

The aug-cc-pVTZ basis set adds a set of diffuse functions to the standard triple-zeta correlation-consistent basis (cc-pVTZ). This augmentation provides a much better description of electron distribution far from the nuclei, essential for anions, weak interactions (like hydrogen bonds or dispersion), and electronic properties like polarizabilities, compared to the unaugmented cc-pVTZ. It is a widely used standard for high-accuracy calculations requiring diffuse functions. (UNVERIFIED)

Sub Class Of split-valence c

metatwist c

IRI http://purl.obolibrary.org/obo/MOLSIM_001666
Description

Metatwist is an analysis tool for studying the twisting motions of helical molecules, such as DNA, using data from a metadynamics simulation. It is probably designed to analyze a free energy surface calculated as a function of a helical twist collective variable. This would allow a researcher to quantify the energetic cost and identify the pathways associated with the twisting and untwisting of a molecular helix. (VERY-) (UNVERIFIED)

Sub Class Of nucleic acid analysis tool c

residue name c

IRI http://purl.obolibrary.org/obo/MOLSIM_001753
Description

A residue name is a standardized short code, typically three or four letters, used in structure files to identify a specific type of molecular building block. For example, 'ALA' is the residue name for the amino acid alanine, and 'DG' can represent a deoxyguanosine nucleotide.

Sub Class Of identifier c
Super Class Of

execution c

IRI http://purl.obolibrary.org/obo/MOLSIM_000003
Description

The stage of a biomolecular simulation process where the main simulation runs are performed according to the prepared system and defined parameters to generate trajectory data. This phase involves propagating the system forward in time using algorithms like molecular dynamics or Monte Carlo, under specific ensemble conditions. The goal is typically to sample conformational space, observe dynamic events, or calculate specific properties like free energies. (UNVERIFIED)

Sub Class Of molecular dynamics process c
Super Class Of

GROMACS trajectory format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000903
Description

GROMACS typically saves trajectories in binary formats: either .xtc which uses lossy compression for coordinates only, offering significant space savings, or .trr which stores coordinates, velocities, and forces at full precision. The choice between them depends on the required accuracy and data for subsequent analysis. Both capture the time-dependent evolution of the simulated system. (UNVERIFIED)

Sub Class Of molecular trajectory format c
Super Class Of

molecular surface area c

IRI http://purl.obolibrary.org/obo/MOLSIM_001349
Description

A type of structural property that measures the surface area of a molecule that is accessible to a solvent. This quantity is crucial for understanding solvation effects. It is a key component in implicit solvent models and is often used to characterize a molecule's exposure to its environment. This value is commonly known as Solvent Accessible Surface Area or SASA. (UNVERIFIED)

Sub Class Of structural property c

TINKER xyz format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000896
Description

A specialized text-based file format used by the TINKER software package. While it shares the '.xyz' extension with the standard Cartesian coordinate format, it is distinct in that it explicitly includes atom indices, force field atom types, and connectivity (bond) lists for every atom, serving as both a coordinate and topology file. (UNVERIFIED)

Sub Class Of molecular structure format c

direct dipolar coupling restraint simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001823
Description

A direct dipolar coupling restraint simulation is a method that incorporates experimental NMR data from residual dipolar couplings (RDCs) to guide a simulation. RDCs provide information about the orientation of chemical bonds relative to an external magnetic field. For experts, RDC restraints are extremely powerful for refining the long-range structure and dynamics of a molecule in solution. (UNVERIFIED)

Sub Class Of restrained simulation method c

visual molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_001069
Description

Visual Molecular Dynamics, or VMD, is a computer program for viewing and animating molecules in 3D. As a type of visualization tool, VMD is a high-performance molecular graphics program designed for the visualization and analysis of large biomolecular systems and simulation trajectories from packages like NAMD and GROMACS. It includes powerful atom selection syntax, rendering capabilities for publication-quality images, and a Tcl/Python scripting interface for automating complex analysis and visualization tasks. This tool is commonly known as "VMD" and is associated with file formats like .vmd for saved states and analysis scripts written in Tcl. (UNVERIFIED)

Sub Class Of molecular structure visualization tool c

distance collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001828
Description

A distance collective variable is a simple coordinate that measures the separation between two specific atoms or groups of atoms. It is one of the most common variables used in simulations to track processes like a drug molecule unbinding from its target protein. Monitoring this distance provides a straightforward way to follow the progress of an association or dissociation event. (UNVERIFIED)

Sub Class Of collective variable c
Super Class Of

ligand analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001861
Description

Ligand analysis is a broad category of methods focused on characterizing the behavior of a small molecule, or ligand, during a simulation of its complex with a larger receptor. This includes analyzing the stability of its binding pose, its internal flexibility and conformational changes, and its specific interactions with the protein or nucleic acid. These analyses are fundamental to structure-based drug design for understanding the determinants of binding affinity and specificity. (UNVERIFIED)

Sub Class Of analysis c

termini c

IRI http://purl.obolibrary.org/obo/MOLSIM_002011
Description

The molecular termini are the distinct starting and ending points of a biological polymer chain, such as the N-terminus and C-terminus of a protein. These regions are chemically distinct from the rest of the chain and often possess unique electrical charges or chemical modifications. For experts, the correct definition of termini (charged/zwitterionic vs. neutral/capped) in the topology is critical for avoiding artificial electrostatic artifacts, especially in short peptides. (UNVERIFIED)

Sub Class Of structural property c

standard error of the mean (SEM) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001409
Description

A type of statistical property that estimates the standard deviation of the sample mean, quantifying how precisely the sample mean represents the true population mean. It is calculated by dividing the sample standard deviation by the square root of the sample size. The standard error of the mean is a key measure of the uncertainty of a calculated average value. This is often abbreviated as SEM. (UNVERIFIED)

Sub Class Of statistical property c

LINCS algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000052
Description

A general term for algorithms designed to solve systems of linear equations that arise from geometric constraints in molecular simulations, particularly when constraints are applied before integrating equations of motion (e.g., in Lagrangian multiplier methods). While iterative methods like SHAKE/RATTLE solve non-linear equations implicitly, linear solvers might be used in different formulations. It represents the mathematical task underlying some constraint methods (UNVERIFIED).

Sub Class Of constraint algorithm c

MDposit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001705
Description

MDposit is a web-based platform and portal designed for the sharing, visualization, and analysis of molecular dynamics simulation data. It serves as a distributed database interface that allows users to browse, access, and interactively view trajectories from different research groups. This tool aims to facilitate the dissemination and reuse of large-scale simulation datasets within the scientific community. (UNVERIFIED)

Sub Class Of database web server c

JSmol c

IRI http://purl.obolibrary.org/obo/MOLSIM_002040
Description

JSmol is an open-source, HTML5/JavaScript-based molecular viewer that allows for the interactive 3D visualization of chemical structures within web browsers without requiring Java or other plugins. It is the modern, JavaScript implementation of the popular Jmol applet, widely used in chemical education, databases, and web-based cheminformatics tools. (UNVERIFIED)

Sub Class Of molecular structure visualization tool c

Spearman rank correlation coefficient c

IRI http://purl.obolibrary.org/obo/MOLSIM_001405
Description

A specific type of correlation coefficient that measures the monotonic relationship between two variables, based on their ranks rather than their raw values. It is less sensitive to outliers than the Pearson correlation. The Spearman rank correlation coefficient is a non-parametric measure of association. This is often reported as rho or Spearman's rho. (UNVERIFIED)

Sub Class Of correlation coefficient c

replica-exchange molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000858
Description

Replica-exchange molecular dynamics (REMD), also known as parallel tempering, is an enhanced sampling technique that runs multiple simulations (replicas) of the same system in parallel, typically each at a different temperature. At regular intervals, attempts are made to swap the current configurations between pairs of replicas running at adjacent temperatures, accepted based on a probability criterion. This allows configurations explored at high temperatures (overcoming energy barriers) to diffuse down to lower temperatures, enhancing conformational sampling. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of

site-site functionals format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001114
Description

A data file format used in advanced solvent analysis to describe how the interaction between different types of atoms changes with distance. It stores the mathematical functions, known as pair functionals, that are the core components of integral equation theories like the 3D Reference Interaction Site Model (3D-RISM). These files contain the pre-calculated correlation functions for a pure solvent, which are then used by the 3D-RISM method to determine the solvent structure around a solute molecule. (UNVERIFIED)

Sub Class Of quantum chemistry format c

cryogenic electron microscopy c

IRI http://purl.obolibrary.org/obo/MOLSIM_000203
Description

Cryogenic electron microscopy (Cryo-EM) is an experimental technique that determines the structure of molecules and complexes by imaging samples rapidly frozen in a thin layer of vitreous (non-crystalline) ice using an electron microscope. Sophisticated image processing techniques are used to average images of thousands or millions of individual particles to reconstruct a high-resolution three-dimensional density map. Cryo-EM is particularly powerful for large, flexible complexes that are difficult to crystallize. (UNVERIFIED)

Sub Class Of protein structure determination method c

gravitational interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_000233
Description

The potential energy arising from the universal gravitational attraction between objects possessing mass, as described by Newton's law of gravitation. While a fundamental interaction governing celestial mechanics, the magnitude of gravitational forces between atoms and molecules is utterly negligible (many orders of magnitude weaker) compared to electromagnetic forces that dominate interactions at this scale. Therefore, gravitational energy is completely ignored in standard biomolecular simulations. (UNVERIFIED)

Sub Class Of interaction energy model c

box type c

IRI http://purl.obolibrary.org/obo/MOLSIM_000032
Description

Specifies the geometric shape of the simulation cell used under periodic boundary conditions (PBCs), which replicate the central simulation system in three dimensions to mimic a bulk environment and avoid surface effects. The choice of shape (e.g., cubic, truncated octahedron, rhombic dodecahedron) affects the computational efficiency (volume of solvent needed) and how well the unit cell packs space. It determines the distance and geometry for interactions between a particle and its periodic images. (UNVERIFIED)

Sub Class Of model c
In Range Of periodic box type op
Super Class Of

y-displacement c

IRI http://purl.obolibrary.org/obo/MOLSIM_001374
Description

A displacement parameter that measures the translation of a base pair away from the central helical axis along the axis of the base pair's hydrogen bonds. The y-displacement is typically small in canonical DNA structures. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of displacement parameter c

Car-Parrinello induced dipole scheme c

IRI http://purl.obolibrary.org/obo/MOLSIM_001734
Description

The Car-Parrinello induced dipole scheme is an efficient algorithm for simulations with polarizable force fields that avoids the costly iterative calculation of induced dipoles at every step. It treats the induced dipoles as dynamic variables with fictitious masses that evolve in time according to classical equations of motion, driven by the forces from the electric field. This extended Lagrangian approach allows the induced dipoles to remain close to their self-consistent values throughout the simulation, providing a significant performance advantage over iterative methods. (UNVERIFIED)

Sub Class Of polarization algorithm c

van der Waals radius c

IRI http://purl.obolibrary.org/obo/MOLSIM_001846
Description

The van der Waals radius represents the effective size of an atom, defining how closely it can approach another atom before they start to repel each other. It is the radius of an imaginary hard sphere that represents the distance of closest approach for another atom, corresponding to the region where strong Pauli repulsion dominates the weak, attractive van der Waals forces. These radii are fundamental for defining molecular surfaces, checking for steric clashes, and as a basis for the "sigma" parameter in the Lennard-Jones potential used in force fields. (UNVERIFIED)

Sub Class Of radii set c

non specific interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_000061
Description

Represents the energy contribution from interactions that are less dependent on the precise chemical nature or orientation of the interacting groups, such as general Van der Waals attraction (dispersion) and repulsion (excluded volume). These forces act broadly between molecules or parts of molecules, contributing significantly to overall cohesion, packing density, and solvation effects (e.g., the hydrophobic effect is driven by minimizing disruption of water, influenced by non-specific interactions). It contrasts with the energy from specific, directional interactions like hydrogen bonds. (UNVERIFIED)

Sub Class Of interaction type c

LCPO algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001716
Description

The LCPO (Linear Combination of Pairwise Overlaps) algorithm is a very fast and analytical method for calculating the solvent-accessible surface area of a molecule. It approximates the surface area by summing the contributions from each atom and correcting for the areas that are buried by neighboring atoms. Because of its speed, the LCPO algorithm is particularly well-suited for calculating surface areas "on-the-fly" during a molecular dynamics simulation. (UNVERIFIED)

Sub Class Of surface area calculation algorithm c

transition path sampling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000863
Description

Transition Path Sampling (TPS) is a powerful simulation technique designed to study rare transition events between stable molecular states by directly sampling the ensemble of reactive pathways connecting them. Starting with one known reactive trajectory, it uses a Monte Carlo procedure in path space (generating new trial paths from old ones) to explore the set of all possible transition mechanisms without needing predefined reaction coordinates. TPS allows for the calculation of rate constants and detailed mechanistic analysis. (UNVERIFIED)

Sub Class Of enhanced sampling c

mdrun c

IRI http://purl.obolibrary.org/obo/MOLSIM_002064
Description

mdrun is the primary high-performance molecular dynamics simulation engine within the GROMACS software suite. It is the specific executable program responsible for reading the compiled run input file (.tpr), calculating the forces between atoms, and numerically integrating Newton's equations of motion to generate the simulation trajectory. For experts, mdrun is highly optimized for parallel execution across multiple CPU cores and GPUs using domain decomposition and message passing interface (MPI). (UNVERIFIED)

Sub Class Of molecular dynamics engine c

structural changes c

IRI http://purl.obolibrary.org/obo/MOLSIM_000150
Description

This criterion focuses specifically on the nature and magnitude of the structural changes between a pair of ligands being considered for relative free energy calculations. Ideally, the transformation involves small, localized changes (e.g., adding a methyl group, changing a halogen) rather than large rearrangements or changes in net charge, as smaller perturbations generally lead to more reliable alchemical calculations. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

spin angle c

IRI http://purl.obolibrary.org/obo/MOLSIM_001356
Description

A specific type of orientation descriptor that represents the angle of rotation of a molecule around a specific unit axis. The SPINANGLE is useful for analyzing spinning motions, such as that of a transmembrane protein helix. This is a specialized analysis output. (UNVERIFIED)

Sub Class Of orientation c

polar solvation energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001319
Description

A component of the solvation free energy that represents the energetic contribution from electrostatic interactions between the solute and the solvent. This term captures the favorable interactions of polar groups with the solvent and the cost of creating a cavity in the polar medium. It is a key output of continuum solvent models like Poisson-Boltzmann and Generalized Born. This value is often reported as P_SOLV, EPB, or EGB. (UNVERIFIED)

Sub Class Of solvation free energy c

Spartan c

IRI http://purl.obolibrary.org/obo/MOLSIM_000788
Description

A commercial molecular modeling and computational chemistry software package featuring an integrated graphical user interface. It provides tools for structure building and visualization, and implements a range of computational methods, including molecular mechanics (MM), semi-empirical methods (like AM1, PM3), Hartree-Fock (HF), Density Functional Theory (DFT), and Møller-Plesset (MPn) calculations. Spartan is widely used in education and research for structure-property relationship studies. (UNVERIFIED)

Sub Class Of software suite c

energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001294
Description

A type of thermodynamic property that quantifies the total energy of the molecular system based on the interactions between its atoms. The energy is calculated at each step using the force field's potential energy function and the atoms' kinetic energy. Monitoring these energy terms is the primary way to assess the stability and convergence of a simulation, ensuring the system has reached a stable state. Simulation log files from packages like AMBER, GROMACS, and CHARMM frequently report this as ENERGY, Etot, or Total Energy. (UNVERIFIED)

Sub Class Of thermodynamic property c
Super Class Of

pressure c

IRI http://purl.obolibrary.org/obo/MOLSIM_001944
Description

Pressure is a thermodynamic property that represents the force per unit area exerted by the particles on the boundaries of the simulation box. It is a key indicator of the system's physical state and is monitored to ensure the simulation has reached the correct density under constant pressure conditions. For experts, this value is calculated from the kinetic energy and the virial of internal forces and is maintained by a barostat algorithm in the NPT ensemble. (UNVERIFIED)

Sub Class Of thermodynamic property c

temperature c

IRI http://purl.obolibrary.org/obo/MOLSIM_001537
Description

Temperature is a thermodynamic property that measures the average kinetic energy of the atoms and molecules in the simulation. It is the primary indicator of the system's thermal state and is constantly monitored to ensure the simulation is stable and correctly samples the target ensemble. For experts, this value is calculated from the particle velocities via the equipartition theorem and is maintained by a thermostat to correspond to a specific thermodynamic temperature. (UNVERIFIED)

Sub Class Of thermodynamic property c

angle collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001832
Description

An angle collective variable is a coordinate that measures the angle formed by three specific atoms or groups of atoms during a simulation. This variable is used to monitor hinge-like motions, such as the opening and closing of domains in a protein. By tracking this single value, researchers can simplify the analysis of complex structural rearrangements into an easily understandable motion. (UNVERIFIED)

Sub Class Of collective variable c

electronic lab journal source c

IRI http://purl.obolibrary.org/obo/MOLSIM_010023
Description

An electronic lab journal source refers to data, observations, or protocols obtained directly from a digital laboratory notebook system used by a research group. Unlike public databases or formal publications, these sources contain raw, internal research records that document the day-to-day progress and specific conditions of an experiment. Citing this source acknowledges the provenance of data that exists within a private institutional framework and has not yet been publicly deposited or peer-reviewed. (UNVERIFIED)

Sub Class Of unpublished experimental result source c

binding free energy estimator 2 analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000268
Description

Binding Free Energy Estimator 2 (BFEE2) is a comprehensive computational workflow designed to calculate protein-ligand binding free energies with high accuracy. It automates a rigorous multi-step process that includes enhanced sampling of the ligand's binding pose and the use of alchemical free energy methods to compute the final affinity. This tool aims to provide a standardized and reproducible protocol for obtaining reliable binding energy predictions that can guide drug discovery projects. (UNVERIFIED)

Sub Class Of binding free energy calculation analysis c

INDO c

IRI http://purl.obolibrary.org/obo/MOLSIM_000809
Description

Intermediate Neglect of Differential Overlap, an all-valence-electron semi-empirical method that is an improvement over CNDO. It retains one-center electron repulsion integrals between orbitals on the same atom, which CNDO neglects, allowing it to better describe electron spin distributions and properties dependent on them. It is computationally slightly more demanding than CNDO but generally more accurate (UNVERIFIED).

Sub Class Of NDDO c
Super Class Of MINDO c

electrostatics analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001558
Description

An electrostatics analysis tool is a type of software designed to calculate and visualize the electrostatic properties of a molecule. These tools typically take a molecular structure with assigned atomic charges and compute quantities like the electrostatic potential on the molecule's surface or the total electrostatic energy of solvation. They are essential for understanding how a molecule will interact with other charged molecules and its polar solvent environment. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of adaptive Poisson-Boltzmann solver c

extract_LIEenergies.pl c

IRI http://purl.obolibrary.org/obo/MOLSIM_001634
Description

The extract_LIEenergies.pl script is a utility designed to parse simulation output files and extract the specific energy components required for a Linear Interaction Energy (LIE) calculation. It typically reads the log files to find the average van der Waals and electrostatic interaction energies of a ligand with its environment. For researchers using the LIE method, this script automates the data extraction step needed to calculate the binding free energy. (UNVERIFIED)

Sub Class Of utility script c

grand canonical ensemble c

IRI http://purl.obolibrary.org/obo/MOLSIM_000199
Description

A statistical ensemble representing open systems where the chemical potential (μ), the system volume (V), and the temperature (T) are held constant; hence often called the μVT ensemble. The system can exchange both energy (with a heat bath at T) and particles (with a particle reservoir at chemical potential μ). Simulations in this ensemble are useful for studying systems where the number of particles can change, such as adsorption phenomena, phase equilibria (vapor-liquid), or systems involving chemical reactions where concentrations are fixed rather than particle numbers. (UNVERIFIED)

Sub Class Of ensemble c

ROCS c

IRI http://purl.obolibrary.org/obo/MOLSIM_000282
Description

ROCS (Rapid Overlay of Chemical Structures), a software tool developed by OpenEye Scientific Software, known for its speed and effectiveness in aligning and comparing molecules based on their 3D shape similarity (shape Tanimoto). ROCS represents molecules as Gaussian functions and optimizes their overlap to quantify shape similarity, often used in virtual screening and lead hopping in drug discovery to find molecules with similar shapes to a known active ligand. It is a similarity calculation tool, not directly a TI tool. (UNVERIFIED)

Sub Class Of

identifier c

IRI http://purl.obolibrary.org/obo/IAO_0020000
Description

An information content entity that is the outcome of a dubbing process and is used to refer to one instance of entity shared by a group of people to refer to that individual entity.

Sub Class Of information content entity c
Equivalentclass is_specified_output_of op some
and information content entity c and denotes op some
Restriction

potential of mean force c

IRI http://purl.obolibrary.org/obo/MOLSIM_000316
Description

A potential of mean force is an energy profile that shows how much energy it takes to move a molecule from one place to another. As a type of free energy, the Potential of Mean Force (PMF) is an output_data_descriptor that represents the free energy of a system as a function of one or more specific geometric coordinates, known as reaction coordinates. The PMF describes the energetic landscape along a pathway, with its minima representing stable states and its maxima corresponding to transition state energy barriers. This is commonly referred to in analysis outputs and publications as "PMF," "free energy profile," "Potential of Mean Force," or "pmf.dat." (UNVERIFIED)

Sub Class Of free energy property c

secondary structure changes analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000982
Description

Refers to the dynamic transformations or fluctuations observed in the secondary structure elements of a biomolecule during a simulation or over time. Monitoring these changes, such as the formation or dissolution of helices or sheets, provides insights into molecular flexibility, folding pathways, or responses to interactions. Analyzing these dynamics helps understand how molecular function relates to structural transitions (UNVERIFIED).

Sub Class Of secondary structure assignment analysis c

swarm-of-trajectories c

IRI http://purl.obolibrary.org/obo/MOLSIM_000861
Description

The swarm-of-trajectories approach refers to computational strategies that utilize a large number of independent, often relatively short, molecular dynamics simulations launched from specific initial conditions. This "swarm" allows for efficient statistical sampling of pathways, transition probabilities between states, or average forces needed in methods like the String Method or Milestoning. It contrasts with relying on a single, very long trajectory to observe events of interest. (UNVERIFIED)

Sub Class Of enhanced sampling c

mbondi c

IRI http://purl.obolibrary.org/obo/MOLSIM_000274
Description

Refers to a modified set of Bondi radii, where adjustments have been made to the original Bondi values, often for specific atom types or elements, to improve performance in particular applications within molecular simulation software (the prefix 'm' often stands for 'modified'). For example, in the AMBER software package, 'mbondi' radii sets might involve different radii for hydrogens depending on the atom they are bonded to, optimized for better agreement between calculated and experimental solvation free energies when used with specific GB models. The exact definition can vary between different 'mbondi' versions (e.g., mbondi, mbondi2, mbondi3). (UNVERIFIED)

Sub Class Of radii set c

data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000436
Description

A data format defines the specific rules and conventions used to structure, store, and exchange data, particularly within computer files. In biomolecular simulation, this refers to the various standardized ways that information like molecular structures, simulation parameters, or results are organized. Understanding these formats is essential for using simulation software and sharing data. (UNVERIFIED)

Super Class Of

OPEP 2 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000755
Description

Specific versions 2 of the OPEP (Optimized Potential for Efficient peptide structure Prediction) coarse-grained force field. OPEP represents each amino acid residue using multiple beads (typically backbone N, H, Cα, C, O and a side-chain bead), aiming to retain chemical specificity while gaining computational efficiency. The different versions likely represent successive refinements and parameter updates. (UNVERIFIED)

Sub Class Of protein force field c

UCSF ChimeraX c

IRI http://purl.obolibrary.org/obo/MOLSIM_000716
Description

UCSF ChimeraX is the next-generation molecular visualization and analysis program developed by the Resource for Biocomputing, Visualization, and Informatics at UCSF. It is designed to handle extremely large datasets, such as cryo-EM maps and massive simulation trajectories, with high-performance rendering. In addition to visualization, it serves as a powerful modeling and setup tool, offering capabilities for structure building, fitting, and interactive manipulation. (UNVERIFIED)

Sub Class Of

reservoir replica-exchange molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000412
Description

Reservoir replica-exchange molecular dynamics is an efficient variant of the REMD method for simulations with a very large number of replicas. Instead of attempting swaps between all adjacent pairs, it attempts swaps between a master simulation and a large "reservoir" of simulations running at different temperatures. For experts, this can significantly improve the efficiency of the exchange process when a very wide temperature range needs to be sampled. (UNVERIFIED)

Sub Class Of replica-exchange molecular dynamics c

itp format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000898
Description

A GROMACS include topology file (.itp) contains the topology definition for a specific type of molecule (like a protein, lipid, or solvent). It typically includes sections like [ moleculetype ], [ atoms ], [ bonds ], etc., and is designed to be reusable. These .itp files are incorporated into the main system topology (.top) file using the #include directive. (UNVERIFIED)

Sub Class Of molecular topology format c

ligand state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000098
Description

Refers to the specific condition or status of a ligand molecule, particularly in the context of its interaction with a receptor molecule (like a protein). This encompasses various aspects, including whether it is bound or unbound, its specific binding pose or conformation, its protonation or tautomeric form, and its electronic state. Characterizing different ligand states is fundamental to understanding molecular recognition and drug action. (UNVERIFIED)

Sub Class Of model c
Super Class Of

optimization algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000407
Description

An optimization algorithm is a procedure that systematically searches for the best possible solution from a set of available alternatives, typically by finding the input values that result in the minimum or maximum of a given function. In molecular simulation, these algorithms are used to find the lowest energy conformation of a molecule or to determine the most likely transition pathway. For experts, the choice of optimization algorithm can greatly affect the efficiency and success of finding a solution. (UNVERIFIED)

Sub Class Of algorithm c
Super Class Of

ATLAS c

IRI http://purl.obolibrary.org/obo/MOLSIM_001951
Description

ATLAS is a specialized database that stores a comprehensive collection of standardized all-atom molecular dynamics simulations of proteins. It combines simulation trajectories with analyses of protein flexibility and dynamics, linked to experimental structural data. This resource allows researchers to explore the dynamic properties of a wide range of protein families in a consistent and comparative manner. (UNVERIFIED)

Sub Class Of database web server c

average structure calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000669
Description

An average structure calculation is a structural analysis method that computes the average coordinates of all atoms over a simulation trajectory. This provides a single, representative structure that reflects the central conformation of the system during the simulation. For experts, it is important to note that this average structure may not be a physically realistic conformation itself, especially if the molecule is highly flexible. (UNVERIFIED)

Sub Class Of structural analysis c

visualization c

IRI http://purl.obolibrary.org/obo/MOLSIM_000216
Description

The process of creating graphical representations of molecular structures, trajectories, and simulation data using specialized software. Visualization is essential for inspecting system setup, monitoring simulation progress, understanding molecular motion and interactions, identifying structural features, and communicating results effectively through images and animations. It is an integral part of both preparation and analysis stages. (UNVERIFIED)

Sub Class Of analysis c

rtp format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000459
Description

The GROMACS rtp format is a text file that acts as a database entry for a molecular building block, such as an amino acid. It defines the atoms, their charges, and their bonding within a specific residue, and is used by the GROMACS software to automatically construct the topology for a polymer like a protein. These residue topology files (.rtp) are a core part of a GROMACS force field and work together with other files to define the complete molecular model. (UNVERIFIED)

Sub Class Of molecular topology format c

espgen.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001650
Description

The espgen.py script is a utility used to generate the grid of points around a molecule where the electrostatic potential (ESP) will be calculated by a quantum chemistry program. This grid is a necessary input for deriving ESP-fitted atomic charges, such as RESP charges. For researchers parameterizing a new molecule, this script automates a key step in the charge-fitting process. (UNVERIFIED)

Sub Class Of utility script c

coordinate analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000028
Description

A subset of reaction analysis that uses the positions (coordinates) of atoms to describe the progress of a chemical reaction or conformational change. It defines one or more geometric variables, collectively known as reaction coordinates, to map the transition pathway between different molecular states. This analysis helps visualize and quantify the structural changes during a reaction. (UNVERIFIED)

Sub Class Of reaction analysis c
Super Class Of

theoretical approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000141
Description

A theoretical approach is the set of fundamental scientific principles or mathematical ideas used to explain a phenomenon. As a type of method, it represents the underlying physical theory, such as quantum mechanics or empirical method, upon which a specific computational method is built. This choice dictates the fundamental equations and approximations used, for example, distinguishing between a first-principles ab initio calculation and a classical molecular dynamics simulation. This concept is typically described in publications using phrases like "level of theory," "theoretical framework," "ab initio," "semi-empirical," or "classical mechanics." (UNVERIFIED)

Sub Class Of method c
Super Class Of

GAUSSIAN log format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000884
Description

The Gaussian log file (.log) is the standard text output generated by the Gaussian quantum chemistry software suite. It contains a detailed, often verbose, record of the calculation, including setup information, convergence progress for SCF and geometry optimizations, final energies, molecular orbital details, calculated properties (like dipole moments, charges), and often vibrational frequencies and thermochemical analysis. A compact summary, the "archive entry", is usually included near the end. (UNVERIFIED)

Sub Class Of simulation log format c

angstrom based unit c

IRI http://purl.obolibrary.org/obo/UO_1000019
Sub Class Of length unit c
Super Class Of angstrom c

stiffness c

IRI http://purl.obolibrary.org/obo/MOLSIM_001883
Description

Stiffness is a property that describes a molecule's resistance to being deformed by an external force. In simulations, this can refer to the rigidity of a specific bond or angle, which is determined by its force constant in the force field. It can also refer to a collective property of a larger structure, quantifying the energetic cost of large-scale bending or stretching motions. (UNVERIFIED)

Sub Class Of physical property c

mean square displacement c

IRI http://purl.obolibrary.org/obo/MOLSIM_001393
Description

A type of kinetic property that measures the average distance a particle has traveled from its starting position over a certain time interval. The Mean Square Displacement is a key quantity used to characterize the dynamics of a system. The slope of the MSD curve over time is directly proportional to the diffusion coefficient. This is often abbreviated as MSD. (UNVERIFIED)

Sub Class Of kinetic property c

anisotropic position scaling barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000343
Description

An anisotropic position scaling barostat is a pressure control algorithm that allows the lengths of the three simulation box vectors to fluctuate independently to maintain a constant pressure tensor. This allows the shape of the simulation box to change, which is necessary for simulating systems that are not uniform in all directions, such as lipid membranes or solid crystals. For experts, this method is essential for studying phase transitions or materials under non-uniform stress. (UNVERIFIED)

Sub Class Of barostat algorithm c

membrane packing tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000225
Description

A computational tool specifically designed to generate realistic initial configurations of lipid bilayers, often including embedded proteins, for use in membrane simulations. These tools arrange lipid molecules (and potentially cholesterol, solvent) according to specified lipid types, compositions, and area per lipid, ensuring proper packing density and avoiding steric clashes, which is challenging to do manually. Examples include PACKMOL-Memgen, CHARMM-GUI's Membrane Builder, and InflateGRO. (UNVERIFIED)

Sub Class Of system setup tool c
Super Class Of

CHARMM par format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001093
Description

A CHARMM-specific format that contains the numerical force field parameters, such as force constants and equilibrium values for bonds and angles. It provides the energy constants that correspond to the atom types defined in a residue topology file (RTF). (UNVERIFIED)

Sub Class Of force field parameter format c

auto-covariance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001423
Description

A specific type of correlation function that measures the covariance of a signal with itself at different time lags. It is similar to the autocorrelation function but is not normalized. The auto-covariance is a fundamental concept in time-series analysis. This is a standard output of time-series analysis packages. (UNVERIFIED)

Sub Class Of correlation function c

QM/MM switching function c

IRI http://purl.obolibrary.org/obo/MOLSIM_001848
Description

A QM/MM switching function is a mathematical tool used in advanced simulations to create a smooth transition zone between the high-accuracy quantum region and the simpler classical region. In adaptive QM/MM methods, this function smoothly blends the forces and energies from the QM and MM calculations in a "buffer" region, preventing abrupt changes as atoms move between the different levels of theory. The use of a well-designed switching function is essential for maintaining energy conservation and numerical stability in simulations where the QM/MM boundary is allowed to change dynamically. (UNVERIFIED)

Sub Class Of QM/MM model component c

clustering quality metric c

IRI http://purl.obolibrary.org/obo/MOLSIM_001416
Description

A type of statistical property used to evaluate the performance of a clustering algorithm. These metrics provide a quantitative measure of how well the algorithm has partitioned the data into distinct and compact clusters. They are essential for assessing the validity of a clustering result. These are standard outputs of clustering analysis programs. (UNVERIFIED)

Sub Class Of statistical property c
Super Class Of

free energy surface analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001969
Description

A free energy surface analysis tool is a software utility used to reconstruct the multidimensional free energy landscape of a system from enhanced sampling simulation data. It processes the history of visited states or applied biases, such as those from metadynamics or umbrella sampling, to generate a potential of mean force (PMF) map. For experts, these tools enable the visualization of low-energy basins and transition barriers along specific collective variables or reaction coordinates. (UNVERIFIED)

Sub Class Of free energy analysis tool c
Super Class Of ndfes c

wavelet analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000456
Description

Wavelet analysis is a sophisticated dynamics analysis technique used to study time-series data where the frequency content is changing over time. Unlike a standard Fourier transform, a wavelet transform can reveal both the frequency of a motion and the time at which it occurred. For experts, this method is a powerful tool for analyzing complex molecular motions, such as identifying transient conformational changes or intermittent dynamic events in a simulation trajectory. (UNVERIFIED)

Sub Class Of dynamics analysis c
Super Class Of wavelet analysis feature extraction c

Hausdorff distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001415
Description

A type of statistical property that measures how far two subsets of a metric space are from each other. It is the greatest of all the distances from a point in one set to the closest point in the other set. The Hausdorff distance is a robust metric for comparing the overall shape of two conformational ensembles. This is a specialized metric in topology. (UNVERIFIED)

Sub Class Of statistical property c

number of bootstrap replications c

IRI http://purl.obolibrary.org/obo/MOLSIM_001275
Description

A statistical analysis parameter that specifies the total number of times the original data is randomly resampled during a bootstrap analysis. A larger number of bootstrap replications improves the stability and reliability of the estimated uncertainty. This is a key parameter for controlling the robustness of the bootstrap analysis. This is often set to a value of 1000 or more. (UNVERIFIED)

Sub Class Of statistical analysis parameter c

general AMBER force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000023
Description

The General AMBER Force Field (GAFF), designed as a companion to the main AMBER biomolecular force fields (for proteins, nucleic acids). It provides parameters for a wide range of organic molecules based on atom types determined by chemical environment and bonding patterns, following the same functional forms as the AMBER force field. GAFF is widely used for parameterizing ligands, drugs, and organic cofactors in simulations involving AMBER biomolecular force fields. (UNVERIFIED)

Sub Class Of other organic molecules force field c

volumetric analysis parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001268
Description

A type of analysis parameter that controls the generation of three-dimensional volumetric data, such as density grids or electrostatic potential maps. These parameters define the size, spacing, and function used to create the grid. The volumetric analysis parameter settings are crucial for visualizing the spatial properties of the system. These are often set in a grid command in an analysis script. (UNVERIFIED)

Sub Class Of analysis parameter c
Super Class Of

aug-cc-pCV6Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000560
Description

The aug-cc-pCV6Z basis set represents one of the largest available standard basis sets, combining a sextuple-zeta description with functions for both core-valence correlation ('-CV') and diffuse character ('aug-'). Its use is restricted to the most demanding benchmark calculations on very small systems aiming for the highest possible accuracy in treating both core and diffuse electron effects concurrently. (UNVERIFIED)

Sub Class Of split-valence c

general AMBER force field 2 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000024
Description

The second generation of the General AMBER Force Field (GAFF2), representing an update and refinement of the original GAFF. Released around 2015, GAFF2 incorporates more parameter types derived from fitting to higher-level quantum mechanical data, aiming to improve accuracy and coverage for a diverse range of organic molecules. It maintains compatibility with contemporary AMBER biomolecular force fields. (UNVERIFIED)

Sub Class Of other organic molecules force field c

ion placement analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000329
Description

An ion placement method is a specific procedure used during system setup to add ions, such as sodium or chloride, to the simulation box. The primary purpose is usually to neutralize the total charge of the system and to mimic a specific salt concentration. For experts, the choice of method can be important, as placing ions in physically reasonable locations based on electrostatics is preferred over random placement. (UNVERIFIED)

Sub Class Of system setup modeling c
Super Class Of

plan specification c

IRI http://purl.obolibrary.org/obo/IAO_0000104
Description

A directive information entity with action specifications and objective specifications as parts, and that may be concretized as a realizable entity that, if realized, is realized in a process in which the bearer tries to achieve the objectives by taking the actions specified.

Sub Class Of directive information entity c
Restriction
Super Class Of

free energy property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001314
Description

A type of thermodynamic property that measures the amount of work obtainable from a system at constant temperature and pressure, determining the spontaneity of a process. It combines both enthalpy and entropy, making it a key predictor of stability and binding affinity. Calculations often result in a Free Energy difference, which is a primary result of many advanced simulation studies. This quantity is often denoted as ΔG or delta G. (UNVERIFIED)

Sub Class Of thermodynamic property c
Super Class Of

aMD dihedral alpha factor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001230
Description

An accelerated MD parameter that determines the strength of the boost potential applied to the dihedral energy term. A smaller aMD dihedral alpha factor results in a larger boost. This is a key parameter for tuning the aMD simulation. This is often set with the keyword alphaD. (UNVERIFIED)

Sub Class Of accelerated MD parameter c

NGL c

IRI http://purl.obolibrary.org/obo/MOLSIM_001923
Description

NGL Viewer is a WebGL-based JavaScript library for the fast and high-quality visualization of large molecular complexes and trajectories in the web browser. It is designed for high-performance rendering, enabling smooth, interactive exploration of even very large structures like ribosomes or viral capsids. For developers of web-based bioinformatics tools, NGL provides a powerful and scalable component for molecular graphics and data visualization. (UNVERIFIED)

Sub Class Of

mean absolute error (MAE) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001408
Description

A type of statistical property that measures the average of the absolute differences between predicted values and observed values. Unlike RMSE, it does not disproportionately penalize large errors. The mean absolute error provides a straightforward measure of the average prediction error. This is often abbreviated as MAE. (UNVERIFIED)

Sub Class Of statistical property c

scientific publication source c

IRI http://purl.obolibrary.org/obo/MOLSIM_000718
Description

A published research article, review, book chapter, or conference proceeding that serves as the source of specific data, findings, or methodologies. When data is cited directly from a publication without an associated database entry, the publication itself is considered the data source. This is common for specific measurements or observations not typically archived elsewhere. (UNVERIFIED)

Sub Class Of experimental data source c

simulation type c

IRI http://purl.obolibrary.org/obo/MOLSIM_000229
Description

Simulation type categorizes the specific methodology and level of detail employed in a computer simulation study, particularly within molecular modeling. This classification distinguishes between approaches like representing every atom versus grouping atoms, or using classical mechanics versus quantum mechanics. The choice of simulation type depends on the scientific question, system size, and desired timescale. (UNVERIFIED)

Sub Class Of simulation method c
Super Class Of

Open Babel c

IRI http://purl.obolibrary.org/obo/MOLSIM_001924
Description

Open Babel is a versatile software program and library, often called a "chemical toolbox," for reading, writing, and converting between over 100 different chemical file formats. It allows users to easily interconvert between the various file types used by different simulation, modeling, and visualization programs. Its powerful interoperability makes it an essential utility in many simulation and modeling workflows for preparing and manipulating molecular structure files. (UNVERIFIED)

Sub Class Of file conversion tool c

mean squared error analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000131
Description

Mean Squared Error (MSE) measures the average of the squares of the errors, i.e., the average squared difference between the estimated values and the actual value. It is the square of the RMSE and is sensitive to large errors due to the squaring. MSE is frequently used in statistical optimization and model fitting procedures. (UNVERIFIED)

Sub Class Of error metrics analysis c

mdcrd format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000159
Description

A text-based file format from the Amber software that stores the movement of atoms over time from a simulation. It contains a series of snapshots, or frames, where each frame lists the x, y, and z coordinates of every atom at a specific time point. This format is widely used for analyzing and visualizing simulation trajectories. (UNVERIFIED)

Sub Class Of molecular trajectory format c

rtf format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001078
Description

A CHARMM-specific format that defines the template for a chemical residue, such as an amino acid or a nucleotide. It specifies the atom types, charges, bonds, and internal geometry for a given building block. These files are used to construct the topology for a complete molecular system. (UNVERIFIED)

Sub Class Of molecular topology format c

real-space c

IRI http://purl.obolibrary.org/obo/MOLSIM_000581
Description

Refers to methods that represent electronic wavefunctions or density directly on a grid of points in three-dimensional coordinate space, rather than expanding them in analytical basis functions like Gaussians or plane waves. This approach avoids basis set superposition errors and can be systematically improved by refining the grid spacing. Real-space grid methods are often employed in Density Functional Theory calculations, particularly for large systems or complex geometries (UNVERIFIED).

Sub Class Of quantum mechanics basis set c

SIESTA c

IRI http://purl.obolibrary.org/obo/MOLSIM_000787
Description

An open-source software package for performing electronic structure calculations and ab initio molecular dynamics simulations based on Density Functional Theory (DFT). SIESTA uses localized numerical atomic orbitals as basis sets and efficient pseudopotentials, making it suitable for large systems and parallel computation. While applicable to biomolecules, its strengths are often utilized in materials science and condensed matter physics contexts, similar to Quantum ESPRESSO or VASP. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

makeDIP_RST c

IRI http://purl.obolibrary.org/obo/MOLSIM_001628
Description

This script is a utility for creating a restraint file (RST) for a simulation that uses direct dipolar coupling (DIP) data from NMR experiments. It likely reads experimental dipolar coupling values and generates the corresponding energy restraint terms in a format that can be read by a simulation program like AMBER. This automates the process of incorporating this specific type of experimental data into a simulation. (UNVERIFIED)

Sub Class Of utility script c

top format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000899
Description

The GROMACS system topology file (.top) describes the entire molecular system to be simulated. It typically starts by including force field parameter files and specific molecule topology files (.itp) using #include directives. Crucially, it concludes with a [ molecules ] section listing the names and counts of each type of molecule present in the simulation box. (UNVERIFIED)

Sub Class Of molecular topology format c

volumetric data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000909
Description

Volumetric data formats represent properties that vary continuously over three-dimensional space, such as electron density or electrostatic potential, by storing their values on a regular grid of points. These formats typically define the grid's origin, dimensions, and spacing, followed by the data values at each grid point. They are commonly used for visualization and analysis of spatial distributions calculated from simulations or experiments. (UNVERIFIED)

Sub Class Of data format c
Super Class Of

TIP4P/2005 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000766
Description

A specific variant of the TIP4P water model, released around 2005, re-parameterized to provide improved agreement with a wider range of experimental properties of liquid water over various temperatures and pressures compared to earlier TIP4P versions. It is considered one of the most accurate rigid, non-polarizable 4-point models for general liquid water simulations. It accurately predicts properties like the temperature of maximum density. (UNVERIFIED)

Sub Class Of water model force field c

SIRAH force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000645
Description

The SIRAH force field is a specific and widely used coarse-grained force field for biomolecular simulations. It uses a reduced representation for amino acids and nucleic acids that is designed to preserve the chemical nature and directionality of the interactions. For experts, SIRAH provides a computationally efficient model that retains a higher degree of chemical detail than some other coarse-grained models, making it well-suited for studying protein-DNA interactions and folding. (UNVERIFIED)

Sub Class Of coarse-grained force field c

graphics processing unit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001941
Description

A graphics processing unit (GPU) is a specialized processor with thousands of small cores, designed to perform many simple calculations simultaneously. This massively parallel architecture makes it extremely well-suited for the force calculation step in molecular dynamics, where the same calculation must be performed for thousands of pairs of atoms at once. The use of GPUs has dramatically accelerated biomolecular simulations, enabling routine access to timescales that were once only possible on the largest supercomputers. (UNVERIFIED)

Sub Class Of processing unit c

stripped topology format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000592
Description

A file format that represents a molecular system's topology after certain atoms, typically solvent or ions, have been removed. This format is created to simplify analysis by focusing only on the solute, while retaining the necessary parameter information for calculations. It is commonly used in post-processing steps like MM/PBSA free energy calculations. (UNVERIFIED)

Sub Class Of molecular topology format c

1D-RISM model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001534
Description

The 1D-RISM model is a simplified version of the RISM theory that calculates the properties of a pure liquid or a simple mixture. It solves the RISM equations for a homogeneous fluid, yielding one-dimensional site-site correlation functions that describe the average structure of the liquid as a function of distance. The results from a 1D-RISM calculation, which describe the bulk solvent, are a necessary input for the more complex 3D-RISM method that calculates the solvent structure around a solute. (UNVERIFIED)

Sub Class Of RISM model c

disposition c

IRI http://purl.obolibrary.org/obo/BFO_0000016
Sub Class Of realizable entity c
In Range Of has disposition op
Super Class Of function c

2D RMSD analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000481
Description

A 2D RMSD analysis is a method where the Root-Mean-Square Deviation (RMSD) is calculated for every pair of frames in a simulation trajectory. The results are typically visualized as a two-dimensional plot or heat map, where each point (i, j) represents the RMSD between frame i and frame j. For experts, this analysis provides a powerful way to visualize the conformational landscape, identifying stable states as blocks of low RMSD and transitions as off-diagonal regions of high RMSD. (UNVERIFIED)

Sub Class Of structural analysis c

Nose thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000800
Description

Refers to the original formulation by Shuichi Nosé of the deterministic thermostat algorithm that introduces an extended degree of freedom and time scaling to generate dynamics consistent with the canonical ensemble. The later Nosé-Hoover formulation modified this approach to simplify the equations of motion in physical time. The core idea is extending the system's phase space to control temperature deterministically (UNVERIFIED).

Sub Class Of thermostat algorithm c

inhomogeneous fluid solvation theory c

IRI http://purl.obolibrary.org/obo/MOLSIM_001553
Description

Inhomogeneous fluid solvation theory is a theoretical approach from statistical mechanics used to describe the properties of a solvent around a solute. It explicitly accounts for the fact that the solvent is not uniform but has a complex, layered structure near the solute's surface. For experts, 3D-RISM is a specific computational method that is based on this theoretical approach to calculate solvation free energies and solvent distribution functions. (UNVERIFIED)

Sub Class Of theoretical approach c

entropy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000309
Description

An entropy analysis method is a calculation used to measure the amount of disorder or randomness in a molecular system. As a type of thermodynamics analysis, this method estimates the entropic contribution to the free energy, often by analyzing the system's vibrational modes or conformational fluctuations from a simulation trajectory. Techniques like quasiharmonic mode analysis or normal mode analysis are used to calculate the vibrational entropy from the covariance matrix of atomic positions or the Hessian matrix, respectively. Outputs from these methods often contain terms like "Entropy," "T*S," "Quasi-Harmonic," "Normal Mode Analysis," or "vibrational entropy." (UNVERIFIED)

Sub Class Of thermodynamics analysis c
Super Class Of

ADF output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000879
Description

The ADF output file is the main text file produced by the Amsterdam Density Functional (ADF) program, containing comprehensive results of the quantum chemical calculation. It includes details on the input parameters used, self-consistent field (SCF) convergence progress, final energies, calculated molecular properties (like dipole moments, charges), atomic coordinates, and timing information. This file is the primary source for analyzing ADF calculation outcomes. (UNVERIFIED)

Sub Class Of simulation log format c

plan specification c

IRI http://purl.obolibrary.org/obo/MOLSIM_000310
Description
  • TODO: to be imported from http://purl.obolibrary.org/obo/IAO_0000104 (plan specification)

  • A plan specification is a document or set of rules that describes how a study or experiment should be designed and carried out. As a type of information content entity, it represents the formal design of a computational experiment, such as the ligand pairs selection criteria for a relative binding free energy study. This specification outlines the rationale and criteria for selecting systems and parameters before the simulation or analysis is performed, ensuring a systematic and reproducible approach. This concept is often described in publications in sections titled "Experimental Design," "Study Protocol," "Selection Criteria," or "Computational Strategy." (UNVERIFIED)

In Domain Of validated ligand selection criteria op
Super Class Of ligand pairs selection criteria c

twist c

IRI http://purl.obolibrary.org/obo/MOLSIM_001371
Description

A base pair step parameter that describes the rotation of one base pair relative to the next around the central helical axis. The helical twist is the primary determinant of the number of base pairs per turn in a DNA or RNA helix. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair step parameter c

bond interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_000232
Description

A component of the system's energy representing the potential energy stored in the stretching or compression of covalent bonds away from their equilibrium lengths. It is typically modeled as a harmonic potential, penalizing deviations from the ideal bond length defined in the force field. The bond energy term is a primary indicator of high strain in a molecular structure during minimization. Simulation log files report this value as Bond, E_bond, or BOND. (UNVERIFIED)

Sub Class Of

difference of center of mass distances collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001830
Description

This is a complex coordinate that tracks the difference between two separate center-of-mass distance measurements. For example, it could measure whether a ligand is closer to one protein subunit versus another in a dimer. This type of variable is useful for studying competitive binding events or processes where the relative position of a molecule between two other partners is the key motion of interest. (UNVERIFIED)

Sub Class Of distance collective variable c

standard error of the mean analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000128
Description

The Standard Error of the Mean (SEM) quantifies the precision of the sample mean as an estimate of the true population mean; it estimates how much the sample mean is likely to vary if the sampling process were repeated. It is calculated as the sample standard deviation divided by the square root of the sample size (N). A smaller SEM indicates a more precise estimate of the population mean. (UNVERIFIED)

Sub Class Of error metrics analysis c

mol3 format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000025
Description

A text-based molecular structure format, similar to the mol2 format, but designed to include additional records for atomic connectivity. It is used to represent chemical structures with an expanded description of their bonding topology. (UNVERIFIED)

Sub Class Of

Fireball c

IRI http://purl.obolibrary.org/obo/MOLSIM_001594
Description

Fireball is a quantum chemistry software package that performs fast electronic structure calculations using a local-orbital formulation of Density Functional Theory (DFT). It is specifically designed for simulating very large systems, such as nanomaterials or complex biological molecules, where computational efficiency is a primary concern. By using a minimal, optimized basis set, Fireball provides a good balance between quantum mechanical accuracy and the speed needed to handle thousands of atoms. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

3 trajectory approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000280
Description

The 3-trajectory approach for endpoint binding free energy calculations (like MM/PBSA or MM/GBSA) involves running three independent molecular dynamics simulations: one for the protein-ligand complex, one for the free protein (receptor), and one for the free ligand in solution. Energies are calculated by averaging over snapshots collected from each respective trajectory. While more computationally expensive, this approach allows the receptor and ligand to sample their unbound conformational ensembles independently. (UNVERIFIED)

Sub Class Of trajectory approach analysis c

transition interface sampling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000865
Description

Transition Interface Sampling (TIS) is a path sampling technique, related to Forward Flux Sampling, used for calculating rate constants of rare events. It involves defining interfaces along an order parameter and then specifically sampling ensembles of trajectories that start in the reactant state and reach a particular interface, or start at one interface and reach the next. By calculating the crossing probabilities between interfaces, TIS reconstructs the overall rate constant. (UNVERIFIED)

Sub Class Of enhanced sampling c

x-displacement c

IRI http://purl.obolibrary.org/obo/MOLSIM_001373
Description

A displacement parameter that measures the translation of a base pair away from the central helical axis towards the major or minor groove. The x-displacement is a key parameter for distinguishing between A-form and B-form DNA. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of displacement parameter c

ProDy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001920
Description

ProDy is a free and open-source Python package for analyzing protein structural dynamics. It provides a comprehensive set of tools for tasks such as parsing structure files, analyzing conformational ensembles, and calculating collective modes of motion using methods like Normal Mode Analysis. For researchers studying protein function, ProDy offers a powerful environment for exploring the link between a protein's structure and its dynamic behavior. (UNVERIFIED)

Sub Class Of library c

LANL2DZdp ECP Polarization c

IRI http://purl.obolibrary.org/obo/MOLSIM_000519
Description

This term appears functionally identical to LANL2DZdp ECP, referring to the LANL2DZ ECP basis set augmented with d-polarization on heavy atoms and p-polarization on hydrogens. The explicit addition of "Polarization" might emphasize that the functions used are optimized for polarization rather than, for instance, diffuse character, or potentially that they are specifically optimized for use with the LANL2 ECP. In practice, it denotes the standard polarized version of LANL2DZ. (UNVERIFIED)

Sub Class Of split-valence c

all-atom molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000230
Description

All-atom molecular dynamics (AA-MD) is a simulation technique where every individual atom in the molecular system, including hydrogen atoms and explicit solvent molecules, is represented. The motion of each atom is simulated over time by numerically integrating Newton's equations of motion using forces derived from a classical force field. This approach provides high structural detail but is computationally intensive, limiting accessible timescales and system sizes. (UNVERIFIED)

Sub Class Of simulation type c

chamber c

IRI http://purl.obolibrary.org/obo/MOLSIM_001652
Description

The chamber script is a utility within the AmberTools suite that facilitates the conversion of CHARMM-formatted force field files into a format that can be used by AMBER. It processes CHARMM topology (PSF) and parameter (PAR) files, allowing users to run simulations with CHARMM force fields using the AMBER simulation engines. For researchers wishing to use CHARMM force fields within the AMBER ecosystem, chamber is an essential interoperability tool. (UNVERIFIED)

Sub Class Of utility script c

number of replicates c

IRI http://purl.obolibrary.org/obo/MOLSIM_001216
Description

A system setup parameter that specifies the number of independent simulation runs performed from the same or similar initial conditions. Running number of replicates helps to assess the statistical robustness and convergence of simulation results. This is a key parameter of the overall simulation experimental design. This is often specified in the simulation submission script. (UNVERIFIED)

Sub Class Of system setup parameter c

ion force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000015
Description

A set of parameters specifically developed to describe the interactions of ions (charged atoms or small molecules) within a simulation, typically in conjunction with a specific water model and other biomolecular force fields. These parameters define the ion's charge and non-bonded terms (usually Lennard-Jones parameters for size and interaction strength). Accurate ion parameters are crucial for modeling salt effects, ion channels, and metalloproteins, and often require careful tuning for compatibility with the chosen water model. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of

aug-cc-pV6Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000548
Description

The aug-cc-pV6Z basis set augments the sextuple-zeta correlation-consistent basis (cc-pV6Z) with diffuse functions. This represents one of the largest standard augmented basis sets, employed in highly specialized benchmark studies on very small systems to investigate convergence properties or calculate properties requiring extreme accuracy for both correlation and diffuse electron character. (UNVERIFIED)

Sub Class Of split-valence c

molecular dynamics process c

IRI http://purl.obolibrary.org/obo/MOLSIM_000000
Description

A sequence of related actions or operations performed to achieve a specific outcome in a biomolecular simulation study. This encompasses all stages from initial system setup and simulation execution to final data analysis and interpretation. Different types of processes address distinct phases or goals within the overall workflow. (UNVERIFIED)

In Domain Of molecular dynamics suite utility op
Super Class Of

atmosphere c

IRI http://purl.obolibrary.org/obo/MOLSIM_010002
Description

A unit of pressure defined as 101,325 pascals (Pa) or 1.01325 bar, approximately equal to the average atmospheric pressure at sea level on Earth.

Sub Class Of pressure unit c

cc-pVTZ-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000530
Description

The cc-pVTZ-RI basis set is the auxiliary basis designed for use in Resolution of Identity (RI) or Density Fitting (DF) calculations that use the cc-pVTZ orbital basis set. Utilizing this matched auxiliary set allows for substantial computational speedups by simplifying the calculation of electron repulsion integrals via the RI/DF approximation. Its size and composition are optimized for the cc-pVTZ orbital set. (UNVERIFIED)

Sub Class Of split-valence c

base pair stacking energies analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000956
Description

A specific interaction energy analysis quantifying the stabilizing energetic contribution from the non-covalent interactions (primarily van der Waals/dispersion and electrostatic) between adjacent, parallel base pairs in nucleic acid structures (DNA, RNA). These stacking interactions occur between the faces of the aromatic rings and are crucial for the overall stability of the double helix structure. Calculations often employ quantum mechanics or specially parameterized force fields to capture these subtle effects accurately. (UNVERIFIED)

Sub Class Of interaction energy analysis c

QM Ewald treatment c

IRI http://purl.obolibrary.org/obo/MOLSIM_000387
Description

A QM Ewald treatment is the application of the Ewald summation method to a system that is described by quantum mechanics, typically within a periodic boundary condition framework. This is necessary for DFT calculations on periodic systems like crystals, where it correctly sums the electrostatic interactions between the electrons and nuclei and their periodic images. This method is the standard for handling long-range electrostatics in solid-state quantum chemistry. (UNVERIFIED)

Sub Class Of Ewald summation c

small molecule database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000698
Description

A primary database that curates information about small chemical compounds, including their structures, properties, and biological activities. These resources are crucial for drug discovery, cheminformatics, and understanding ligand-protein interactions. PubChem and ChEBI are prominent examples. (UNVERIFIED)

Sub Class Of primary database c
Super Class Of

PAE matrix format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002061
Description

The PAE (Predicted Aligned Error) matrix format is a structured data file, typically serialized as JSON, that stores the pairwise distance error estimates generated by deep learning protein structure prediction models like AlphaFold. It provides a 2D matrix where each point represents the expected position error at residue X when the predicted and true structures are aligned on residue Y, serving as a critical metric for assessing the confidence of relative domain orientations and predicted protein-protein interactions. (UNVERIFIED)

Sub Class Of prediction data format c

Desmond c

IRI http://purl.obolibrary.org/obo/MOLSIM_000777
Description

A high-performance software package specifically designed for classical molecular dynamics simulations of biological systems, developed by D. E. Shaw Research (DESRES). Desmond is known for its exceptional speed, particularly on GPUs, and its integration with the Schrödinger Materials Science Suite. It supports standard force fields (like CHARMM, AMBER, OPLS) and offers features for system building, simulation execution (including free energy calculations), and analysis, primarily targeting drug discovery and biomolecular research. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

GROMOS 53a5 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001975
Description

GROMOS 53A5 is a united-atom force field parameter set specifically tuned for simulating biomolecules in non-polar environments. While sharing geometric parameters with the 53A6 set, it uses modified partial charges optimized to reproduce solvation properties in apolar solvents like cyclohexane. For experts, this parameter set is particularly relevant for simulations involving the hydrophobic core of lipid membranes or proteins in non-aqueous solvents. (UNVERIFIED)

Sub Class Of united-atom force field c

data processing tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000165
Description

A tool focused on manipulating, converting, filtering, or extracting information from data files generated during a simulation workflow. This can involve tasks like converting file formats, extracting specific columns or frames, merging datasets, calculating simple statistics, or preparing data for input into other analysis or visualization tools. These tools handle the logistical aspects of managing simulation data. (UNVERIFIED)

Sub Class Of software c
Super Class Of file conversion tool c

vibrational circular dichroism c

IRI http://purl.obolibrary.org/obo/MOLSIM_001013
Description

Vibrational circular dichroism (VCD) measures the difference in the absorption of left- and right-circularly polarized infrared light by chiral (handed) molecules as they undergo vibrations. This differential absorption provides detailed information about the molecule's three-dimensional structure, including its conformation and absolute configuration (specific handedness). VCD is a powerful probe of chirality in vibrational transitions. (UNVERIFIED)

Sub Class Of vibrational spectroscopy c

pore dimension c

IRI http://purl.obolibrary.org/obo/MOLSIM_001876
Description

The pore dimension refers to the size and shape of a channel or tunnel that passes through a protein. This property is calculated by finding the radius of the narrowest point (the constriction site) and the overall profile of the channel's radius along its length. Analyzing the pore dimensions is critical for understanding how ion channels and transporters function, as it determines which molecules are small enough to pass through the membrane. (UNVERIFIED)

Sub Class Of structural property c

well-tempered metadynamics algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_002055
Description

A specific algorithmic extension of metadynamics where the height of the added Gaussian biasing potentials is gradually decreased over time based on the amount of bias already accumulated at that location. This ensures that the biasing potential converges smoothly to the true free energy surface, avoiding the over-filling of energy basins. (UNVERIFIED)

Sub Class Of enhanced sampling algorithm c

YASARA c

IRI http://purl.obolibrary.org/obo/MOLSIM_001935
Description

YASARA is a comprehensive molecular modeling and simulation software suite known for its high degree of automation and user-friendly interface. It integrates a wide range of functionalities, from structure prediction and cleaning to running full molecular dynamics simulations with its own force field. For scientists, YASARA aims to make complex simulation protocols accessible through automated workflows that can be executed with minimal manual setup. (UNVERIFIED)

Sub Class Of

T1 relaxation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001395
Description

A specific type of NMR relaxation time, also known as the spin-lattice or longitudinal relaxation time. It characterizes the rate at which the nuclear spins exchange energy with their surrounding environment (the "lattice"). The T1 relaxation time is sensitive to fast molecular motions, on the order of the inverse of the Larmor frequency. This is a key parameter in NMR spectroscopy. (UNVERIFIED)

Sub Class Of NMR relaxation time c

SCF damping factor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001255
Description

An SCF parameter that specifies a damping factor used to improve the convergence of the Self-Consistent Field (SCF) procedure. This is a numerical trick used to prevent oscillations in the SCF energy. The SCF damping factor is a key parameter for difficult-to-converge systems. This is often set with the keyword damp. (UNVERIFIED)

Sub Class Of SCF parameter c

cc-pVDZ-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000529
Description

The cc-pVDZ-RI basis set is an auxiliary basis set specifically optimized for use with Resolution of Identity (RI) or Density Fitting (DF) approximations in calculations employing the cc-pVDZ orbital basis set. It provides the functions needed to efficiently expand products of cc-pVDZ basis functions, significantly reducing the computational cost of evaluating electron repulsion integrals in RI/DF methods. It is not used to expand the molecular orbitals themselves. (UNVERIFIED)

Sub Class Of split-valence c

pdbremix c

IRI http://purl.obolibrary.org/obo/MOLSIM_001602
Description

Pdbremix is a utility designed for advanced manipulation and modification of Protein Data Bank (PDB) files. It allows users to perform a wide range of tasks such as renumbering residues, changing atom or residue names, and translating or rotating parts of a molecule. Experts use this tool for complex system-building tasks that require precise, custom modifications to a standard PDB file before simulation. (UNVERIFIED)

Sub Class Of structure cleaning and manipulation tool c

Nose-Poincare thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000801
Description

A specific mathematical formulation of the Nosé thermostat dynamics based on Poincaré's canonical transformations. It offers insights into the theoretical foundations and conservation laws of the Nosé thermostatting mechanism. It represents a rigorous theoretical framework for this class of deterministic thermostats (UNVERIFIED).

Sub Class Of thermostat algorithm c

immersed interface analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000368
Description

The immersed interface method is an advanced numerical analysis technique for solving differential equations in problems where there are interfaces or discontinuities, such as the boundary between a protein and the solvent. It uses a modified finite-difference scheme that explicitly incorporates the known jump conditions at the interface to achieve high accuracy. For experts, this method is a powerful tool for obtaining accurate solutions to the Poisson-Boltzmann equation in continuum solvent models. (UNVERIFIED)

Sub Class Of numerical analysis c

RNA-ligand system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001892
Description

An RNA-ligand system is a specific type of ligand complex system composed of an RNA molecule interacting with a small molecule ligand. With the growing recognition of RNA as a major drug target, these simulations are becoming increasingly important for discovering and designing new therapeutics. For experts, these systems are challenging due to the high flexibility of RNA and the often subtle nature of the binding interactions. (UNVERIFIED)

Sub Class Of ligand complex system c

pqr format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001062
Description

The PQR format is a modification of the standard Protein Data Bank (PDB) format used in computational biology to store atomic coordinate data along with atomic partial charges (Q) and radii (R). The name itself is a mnemonic, representing PDB + Q (charge) + R (radius). Its primary advantage is that it bundles the necessary structural and electrostatic parameters into a single, PDB-like file that is easily parsed by both analysis software and molecular visualization programs. These files are most commonly generated by the PDB2PQR software, which processes a standard PDB file, adds missing hydrogen atoms, and assigns atomic charges and radii based on a chosen force field. (UNVERIFIED)

Sub Class Of molecular structure format c

improper torsion energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001304
Description

A component of the system's energy used to maintain planarity or chirality in specific molecular geometries. Unlike proper dihedrals, an improper torsion is defined for a central atom and three attached atoms to enforce a specific spatial arrangement, such as keeping an aromatic ring flat. This term is essential for preserving the correct stereochemistry and geometry of certain functional groups. It is often reported in log files as Improper, E_impro, or IMPROPER. (UNVERIFIED)

Sub Class Of energy c

molecular surface analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000478
Description

Molecular surface analysis is a category of analysis methods used to calculate and characterize the surface of a molecule. This includes calculating properties like the total surface area, identifying pockets and cavities, and mapping properties like electrostatic potential onto the surface. For researchers, analyzing the molecular surface is crucial for understanding how a molecule interacts with its environment, binds to other molecules, and is recognized by partners. (UNVERIFIED)

Sub Class Of structural analysis c
Super Class Of Connolly surface analysis c

ReaxFF force field format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001098
Description

The ReaxFF force field format is a text file that contains the extensive set of parameters for a simulation using the ReaxFF reactive force field. Unlike standard force fields, it specifies parameters that govern how bond orders, and therefore chemical bonds, can change dynamically during a simulation. This file provides all the information needed for the simulation engine to model the complex energy landscape of bond formation and breakage. (UNVERIFIED)

Sub Class Of force field parameter format c

TIP3P water model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000476
Description

A specific, widely used 3-point water model type characterized by its simplicity and computational efficiency (Transferable Intermolecular Potential 3-Point). It places charges on the oxygen and two hydrogen atoms and represents water as a rigid molecule with experimentally derived geometry. While computationally fast, it is known to have limitations in reproducing some properties of real water (like the temperature of maximum density or dielectric constant) compared to more complex models. (UNVERIFIED)

Sub Class Of water type c

single-topology approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000290
Description

The single-topology approach in alchemical calculations modifies the parameters (like atom type, charge, van der Waals parameters) of a single set of atoms along the transformation pathway governed by λ. Atoms present in state A but not B are gradually turned into 'dummy' atoms (non-interacting), while atoms present in B but not A emerge from dummy atoms, effectively morphing the molecule. This requires careful handling of parameter changes and potential energy function modifications (like soft-core potentials) to avoid singularities near the endpoints. (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

external electric field component c

IRI http://purl.obolibrary.org/obo/MOLSIM_001200
Description

A specific external field parameter that defines the magnitude of an applied external electric field along a particular axis. This is used to simulate the effect of a uniform electric field on the molecular system. The external electric field component is often specified for each axis, such as efx, efy, and efz. (UNVERIFIED)

Sub Class Of external field parameter c

protein system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001908
Description

A protein system is a molecular simulation system where the main molecule of interest is a single protein molecule, or polypeptide chain. These simulations are typically run with the protein solvated in a box of water and ions to study its structural stability, intrinsic flexibility, and conformational changes. For researchers, this is the most common type of simulation, fundamental to understanding how a protein's structure relates to its function. (UNVERIFIED)

Sub Class Of molecular simulation system c
Super Class Of

N-linked glycosylation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001776
Description

N-linked glycosylation is a specific type of modification where a complex sugar chain is attached to a protein. It is a common post-translational modification where a pre-assembled oligosaccharide is covalently attached to the side-chain nitrogen atom of an asparagine residue. Simulating N-linked glycosylation is important for understanding protein folding, stability, and cell-surface recognition, and it requires specialized force fields like GLYCAM to model the attached glycans. (UNVERIFIED)

Sub Class Of post-translational modification c

harmonic improper torsion potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_000488
Description

A harmonic improper torsion potential is a specific mathematical form for the improper torsion potential, where the energy increases quadratically with the deviation from a target angle. This acts like a spring that restrains the atoms to a specific planar or chiral geometry. For experts, this is a common and computationally simple functional form used to enforce planarity or chirality in a force field. (UNVERIFIED)

Sub Class Of improper torsion potential c

molecular system specification c

IRI http://purl.obolibrary.org/obo/MOLSIM_001073
Description

A molecular system specification is the complete abstract description of all the molecules and their properties that constitute a simulation. It includes the identity and 3D arrangement of all atoms (the structure) and the rules governing their interactions (the topology and force field). This specification is the complete informational blueprint of the system before any simulation is performed. (UNVERIFIED)

Sub Class Of information content entity c
Super Class Of

SCF convergence algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000332
Description

An SCF convergence algorithm is a specific type of optimization algorithm used in quantum chemistry to find a stable solution for a molecule's electronic wavefunction. It is the iterative procedure that solves the Self-Consistent Field (SCF) equations until the calculated electron density and the potential it generates are mutually consistent. For experts, using robust convergence algorithms like DIIS is essential for successfully completing the SCF calculation, which is the core of most quantum mechanical methods. (UNVERIFIED)

Sub Class Of optimization algorithm c
Super Class Of level shifting algorithm c

Urey-Bradley energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001302
Description

A specific component of the angle energy used in some force fields like CHARMM, which adds a harmonic potential between atoms separated by two bonds (1-3 atoms). This Urey-Bradley term explicitly couples bond stretching and angle bending to better reproduce vibrational spectra and local geometry. It is an important term for accurately modeling the force field of certain molecules. This term is reported in energy summaries as UREY-BRAD or E_ub. (UNVERIFIED)

Sub Class Of angle energy c

accelerated MD boost energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001311
Description

A specific type of boost energy applied in Accelerated Molecular Dynamics (aMD) to flatten the potential energy surface. This energy is added when the system's potential falls below a defined energy threshold. The accelerated MD boost energy is the key quantity used to reweight the biased trajectory to recover correct thermodynamic properties. It is often reported in log files as amd_boost. (UNVERIFIED)

Sub Class Of boost energy c

force interpolation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000380
Description

A force interpolation method is a numerical technique used in some simulation algorithms to estimate the forces on atoms without calculating them directly at every step. This is often done by calculating the forces on a coarser grid and then interpolating these forces to the actual atomic positions. For experts, this method can be used in some multiple-time-stepping algorithms to reduce the computational cost of the force calculation. (UNVERIFIED)

Sub Class Of numerical analysis c

voxel c

IRI http://purl.obolibrary.org/obo/MOLSIM_001762
Description

A voxel is the basic building block of a three-dimensional grid, similar to how a pixel is the basic unit of a 2D image. In simulation analysis, a voxel is a small cubic volume in space that is assigned a value, such as the average density of water or the strength of the electrostatic potential at that location. The collection of all these voxels creates a full 3D volumetric map that can be visualized to understand the spatial properties of a molecular system. (UNVERIFIED)

Sub Class Of volumetric data component c

linear correlation significance determination analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000502
Description

A statistical mathematical technique used to assess whether an observed linear relationship (correlation) between two variables, calculated from simulation data, is statistically meaningful. It evaluates the probability that such a correlation could have occurred simply by random chance if no true underlying relationship existed. This helps researchers confidently interpret potential connections found in simulation results (UNVERIFIED).

Sub Class Of statistical analysis c

MDL solvent model format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001795
Description

The MDL solvent model format is a file that defines the properties of a solvent for use in certain implicit solvent calculations. It contains parameters that describe the solvent's bulk properties, such as its density and viscosity, which are needed by the simulation program. This format is used by specific, less common simulation methods to incorporate the effects of a solvent without explicitly representing every solvent molecule. (UNVERIFIED)

Sub Class Of molecular topology format c

global structure analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000918
Description

A structural analysis focusing on the overall architecture, shape, fold, and packing of a macromolecule or molecular complex, rather than fine details. This is often characterized by metrics like the radius of gyration, principal moments of inertia, overall dimensions, secondary structure content (for proteins), or tertiary arrangement of domains. It provides a macroscopic view of the molecule's conformation and large-scale structural changes. (UNVERIFIED)

Sub Class Of structural analysis c

aug-pc-3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000573
Description

The aug-pc-3 basis set adds diffuse functions ('aug-') to the polarization consistent basis set pc-3. The pc-3 level typically offers polarized quadruple-zeta (QZP) quality, optimized for rapid property convergence. Aug-pc-3 combines this high quality description with diffuse functions, suitable for demanding calculations requiring accurate treatment of diffuse electron density at the QZP level. (UNVERIFIED)

Sub Class Of split-valence c

Joung/Cheatham ion parameter set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001503
Description

The Joung/Cheatham ion parameter set is a widely used collection of parameters for modeling common monoatomic ions in molecular dynamics simulations. These parameters were carefully optimized to reproduce experimental properties, such as solvation free energies, when used with specific water models like TIP3P. For simulation experts, this set provides a robust and well-validated model for accurately representing the behavior of ions in aqueous solution. (UNVERIFIED)

Sub Class Of force field parameter set c

OPEP 3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000756
Description

Specific versions 3 of the OPEP (Optimized Potential for Efficient peptide structure Prediction) coarse-grained force field. OPEP represents each amino acid residue using multiple beads (typically backbone N, H, Cα, C, O and a side-chain bead), aiming to retain chemical specificity while gaining computational efficiency. The different versions likely represent successive refinements and parameter updates. (UNVERIFIED)

Sub Class Of protein force field c

Hoover barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000794
Description

Refers to implementations of constant pressure simulation based on the work of W. G. Hoover, often utilizing Nosé-Hoover style deterministic equations of motion applied to the volume degree of freedom (similar to the Andersen barostat's concept but using the Nosé-Hoover thermostat formalism). It provides a deterministic way to sample the NPT ensemble by extending the system's phase space. It can be formulated for isotropic or anisotropic pressure control (UNVERIFIED).

Sub Class Of barostat algorithm c

LANL2DZ+2s2p2d2f c

IRI http://purl.obolibrary.org/obo/MOLSIM_000517
Description

This term likely represents the LANL2DZ ECP basis set augmented with a significant number of additional functions: two s-type, two p-type, two d-type, and two f-type. These extra functions could be diffuse or polarization functions, intended to provide much greater flexibility for describing the valence electrons of heavy atoms than standard LANL2DZ. This indicates a larger, potentially custom augmentation for specific research purposes. (UNVERIFIED)(...)

Sub Class Of split-valence c

AddToBox c

IRI http://purl.obolibrary.org/obo/MOLSIM_001557
Description

AddToBox is a utility used to add a specified number of molecules, such as solvent or ions, into a pre-existing simulation box containing other molecules. It is a common tool used in the final stages of system preparation to fill the simulation volume with the correct components at a desired density. Experts use this tool to carefully control the composition and concentration of the molecular environment surrounding the main molecule of interest. (UNVERIFIED)

Sub Class Of system packing and solvation tool c

electrostatic energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001297
Description

A component of the system's energy arising from the Coulombic interactions between the partial atomic charges of all atoms. This long-range interaction is crucial for describing polarity, solvation, and binding in biomolecular systems, and is typically calculated using methods like PME or a cutoff scheme. Its stability is a key indicator of a properly equilibrated system, especially for charged molecules. Simulation outputs frequently list this term as E_elec, Coulomb, ELEC, or Electrostatic. (UNVERIFIED)

Sub Class Of energy c
Super Class Of 1-4 electrostatic energy c

lipid order parameters c

IRI http://purl.obolibrary.org/obo/MOLSIM_001872
Description

Lipid order parameters are a set of values that measure how well-aligned and ordered the flexible tails of lipid molecules are within a simulated cell membrane. A value of 1 means the lipid tail is perfectly straight and aligned perpendicular to the membrane surface, while a value of 0 means it is completely disordered. These parameters, specifically the deuterium order parameter (SCD), can be directly compared with experimental results from NMR spectroscopy, making them one of the most important metrics for validating the physical accuracy of a membrane simulation. (UNVERIFIED)

Sub Class Of spectroscopic property c

NAMD configuration format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000876
Description

A NAMD configuration file, typically ending in .namd, contains parameters and commands that control a molecular dynamics simulation run using the NAMD software. It uses a keyword-value pair format, often leveraging Tcl scripting capabilities, to specify input files (structure, coordinates, parameters), simulation conditions (temperature, pressure, duration), and algorithms. This file dictates the entire simulation protocol. (UNVERIFIED)

Sub Class Of simulation parameter format c

square angstrom c

IRI http://purl.obolibrary.org/obo/UO_0000324
Description

An area unit which is equal to an area enclosed by a square with sides each 1 angstrom long.

Sub Class Of area unit c

conditional probability c

IRI http://purl.obolibrary.org/obo/MOLSIM_001413
Description

A type of statistical property that measures the probability of an event occurring, given that another event has already occurred. In simulation analysis, Conditional Probabilities are used to understand the relationships and dependencies between different molecular states or events. They are a core component of Markov State Model analysis. This is a key output of kinetic analysis. (UNVERIFIED)

Sub Class Of statistical property c

nanometer c

IRI http://purl.obolibrary.org/obo/UO_0000018
Description

A length unit which is equal to one thousandth of one millionth of a meter or 10^[-9] m.

Sub Class Of meter based unit c

femtosecond c

IRI http://purl.obolibrary.org/obo/MOLSIM_010001
Description

An SI unit of time equal to 10^-15 seconds or one quadrillionth of a second.

Sub Class Of second based unit c

LIEW c

IRI http://purl.obolibrary.org/obo/MOLSIM_001686
Description

The Linear Interaction Energy Workflow (LIEW) is a software framework designed to automatically calculate how strongly a small molecule binds to its target protein using the Linear Interaction Energy (LIE) method. It automates the entire process by running the two required simulations (the ligand bound to the receptor and the ligand free in solvent) and then processing the trajectories to extract the necessary interaction energies. For experts, LIEW is a collection of scripts that manages the setup, execution, and analysis of the bound and free state simulations, ultimately calculating the ensemble-averaged van der Waals and electrostatic interaction energies and applying the empirical α and β coefficients to compute the final binding free energy. (UNVERIFIED)

Sub Class Of framework c

neighbor list cutoff c

IRI http://purl.obolibrary.org/obo/MOLSIM_002033
Description

A distance parameter that defines the radius of the sphere around an atom within which neighboring atoms are tracked for potential interactions. Atoms found within this distance are stored in a neighbor list, which allows the simulation to avoid calculating distances between distant atom pairs at every time step. For experts, this value (rlist) must be strictly larger than the interaction cutoff (rvdw + rlist_skin) to ensure that atoms diffusing into interaction range are accounted for between list updates. (UNVERIFIED)

Sub Class Of non-bonded interaction parameter c

bondtype c

IRI http://purl.obolibrary.org/obo/MOLSIM_001614
Description

The bondtype program is a utility in the AmberTools suite that assigns force field bond types based on the atom types of the two connected atoms. After atom types have been assigned, this tool determines the specific parameters that should be used for the bond stretching term between them. This is an internal step in the automated parameterization workflow for new molecules. (UNVERIFIED)

Sub Class Of parameter assignment tool c

SPCFW c

IRI http://purl.obolibrary.org/obo/MOLSIM_001065
Description
  • A flexible three-site water model.

  • SPCFW is a flexible computer model for water that allows the bonds between its atoms to vibrate. As a type of water model force field, SPCFW is a flexible variant of the three-site SPC water model. It replaces the rigid geometry with harmonic bond and angle potentials, allowing intramolecular vibrations, which is important for accurately reproducing certain spectroscopic and dynamic properties of water. This model is referred to in publications and input files as "SPC-Fw," "flexible SPC," or by its specific force field library name. (UNVERIFIED)

Sub Class Of water model force field c

sugar pucker c

IRI http://purl.obolibrary.org/obo/MOLSIM_001350
Description

A type of structural property that describes the specific three-dimensional conformation of a sugar ring, such as the ribose in DNA or RNA. The pucker is a critical determinant of the local and global structure of a nucleic acid helix. It is often described by a pseudorotation angle and can be analyzed to characterize A-form, B-form, or other helical types. This value is a standard output of nucleic acid analysis tools. (UNVERIFIED)

Sub Class Of structural property c

REMD round-trip time c

IRI http://purl.obolibrary.org/obo/MOLSIM_001806
Description

The REMD round-trip time is a diagnostic metric that measures how long it takes for a single simulation copy to travel through the full range of temperatures in a Replica Exchange Molecular Dynamics simulation. In this method, multiple simulations are run at different temperatures, and this metric tracks the time for one replica to go from the lowest to the highest temperature and back again. A short round-trip time indicates that the simulation is sampling conformations efficiently, which is necessary to obtain reliable results. (UNVERIFIED)

Sub Class Of kinetic property c

millimolar c

IRI http://purl.obolibrary.org/obo/UO_0000063
Description

A unit of molarity which is equal to one thousandth of a molar or 10^[-3] M.

Sub Class Of molar based unit c

hydrophobic interactions c

IRI http://purl.obolibrary.org/obo/MOLSIM_000186
Description

The observed tendency for nonpolar molecules or molecular groups to associate with each other when in an aqueous (water) environment, effectively minimizing their disruptive contact with water molecules. This phenomenon is primarily entropically driven by the favorable increase in the entropy of water molecules that are released from ordered "cages" (solvation shells) around the nonpolar surfaces when they aggregate. It is a major driving force for protein folding (burying hydrophobic residues), membrane formation, and ligand binding. (UNVERIFIED)

Sub Class Of non-covalent interaction c

WAMM c

IRI http://purl.obolibrary.org/obo/MOLSIM_001685
Description

The Weighted Averaging Momentum Method (WAMM) is an advanced algorithm used to integrate the equations of motion in a molecular dynamics simulation. It improves upon standard integrators by using a weighted average of momentum information from several previous time steps, which helps to filter out high-frequency noise and increase the numerical stability of the simulation. For experts, this momentum-averaging scheme effectively damps the fastest atomic motions, allowing for the use of a significantly longer integration time step compared to standard algorithms like velocity-Verlet, thereby increasing computational efficiency. (UNVERIFIED)

Source https://doi.org/10.1016/j.jcp.2013.06.039
Sub Class Of framework c

magnetic susceptibility tensor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001513
Description

The magnetic susceptibility tensor is a physical property that describes how the electron cloud of a molecule responds when placed in an external magnetic field. It is a mathematical object that quantifies the magnitude and direction of the induced magnetic moment within the molecule. Calculating this tensor is important for accurately predicting NMR chemical shifts, as it describes the local magnetic shielding that each nucleus experiences. (UNVERIFIED)

Sub Class Of electronic property c

custom script c

IRI http://purl.obolibrary.org/obo/MOLSIM_000207
Description

A script created by a user for a specific, often unique, purpose within their research project that is not covered by standard tools or generic scripts. This could be for a non-standard analysis method, a specific data manipulation task, interfacing between incompatible programs, or automating a highly specialized workflow. Custom scripts offer maximum flexibility but require programming effort and careful validation. (UNVERIFIED)

Sub Class Of script c

wavefunction property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001385
Description

A type of electronic property that is derived directly from the mathematical function, known as the wavefunction, which describes the quantum state of a molecule's electrons. The wavefunction contains all the information about the electronic structure of the system. These properties provide the most detailed insights into chemical bonding and reactivity. These are the core outputs of ab initio quantum chemistry programs. (UNVERIFIED)

Sub Class Of electronic property c
Super Class Of

meter based unit c

IRI http://purl.obolibrary.org/obo/UO_1000008
Sub Class Of length unit c
Super Class Of nanometer c

hertz c

IRI http://purl.obolibrary.org/obo/UO_0000106
Description

A frequency unit which is equal to 1 complete cycle of a recurring phenomenon in 1 second.

Sub Class Of hertz based unit c

multiple time-stepping algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001722
Description

A multiple time-stepping algorithm is an advanced integration algorithm that uses different time steps to update different types of forces in a simulation. It calculates the fast-changing forces, like bond vibrations, more frequently with a small time step, while the slower-changing forces, like long-range electrostatics, are calculated less often with a larger time step. For experts, this method, often implemented as r-RESPA, can significantly speed up a simulation by reducing the number of expensive force calculations. (UNVERIFIED)

Sub Class Of integration algorithm c
Super Class Of

membrane geometry c

IRI http://purl.obolibrary.org/obo/MOLSIM_001873
Description

Membrane geometry describes the overall three-dimensional shape and dimensions of a simulated cell membrane. This includes properties like the membrane's thickness, its lateral dimensions in the simulation box, and its overall shape, which can be planar, curved, or even vesicular. Characterizing the membrane geometry is a fundamental part of analyzing membrane simulations, ensuring the system is stable and providing the context for the behavior of embedded proteins. (UNVERIFIED)

Sub Class Of structural property c

bend c

IRI http://purl.obolibrary.org/obo/MOLSIM_001790
Description

A bend is a region in a protein chain that creates a sharp turn, changing the direction of the polypeptide. It is a short structural motif, typically involving a few amino acid residues, that is characterized by a specific pattern of backbone dihedral angles that reverses the direction of the chain. Bends are crucial for creating a protein's compact, globular shape by connecting other secondary structure elements like helices and sheets. (UNVERIFIED)

Sub Class Of secondary structure c

GB-Neck2 implicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001479
Description

The GB-Neck2 implicit solvent model is a specific and improved version of the Generalized Born (GB) model. It includes corrections for inaccuracies in the original GB formulation, particularly related to the calculation of the effective Born radii at the "neck" regions where spheres overlap. For experts, GB-Neck2 aims to provide higher accuracy in the solvation energy calculation compared to earlier GB implementations. (UNVERIFIED)

Sub Class Of generalized Born implicit solvent model c

weighted histogram analysis method analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000236
Description

The Weighted Histogram Analysis Method (WHAM) is a statistical technique primarily used to combine data from multiple biased simulations (like umbrella sampling) to compute an unbiased free energy profile or potential of mean force (PMF). While mainly an analysis method, the ability to obtain a smooth, well-converged PMF using WHAM implicitly validates that the underlying biased simulations adequately sampled the relevant conformational space and had sufficient overlap between windows. It is closely related to MBAR. (UNVERIFIED)

Sub Class Of validation analysis c

hybrid NNP/MM simulations c

IRI http://purl.obolibrary.org/obo/MOLSIM_002020
Description

A multiscale simulation technique that couples a region described by a Neural Network Potential (NNP) with a larger environment described by a classical molecular mechanics (MM) force field. It allows for the accurate modeling of reactive centers or complex electronic effects using machine learning, while efficiently capturing long-range environmental effects with standard physics-based models. For experts, this method typically employs electrostatic or mechanical embedding schemes similar to QM/MM to handle the boundary interactions between the NNP-active region and the classical surroundings. (UNVERIFIED)

Sub Class Of multiscale simulation method c

replica-exchange umbrella sampling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000413
Description

Replica-exchange umbrella sampling is an enhanced sampling method that combines two powerful techniques to calculate free energy profiles. It runs multiple umbrella sampling simulations in parallel, each restraining the system to a different window along a reaction coordinate, and periodically attempts to swap the coordinates between these simulations. For experts, this combination helps to overcome slow conformational sampling within each umbrella window, leading to faster convergence of the potential of mean force. (UNVERIFIED)

Sub Class Of enhanced sampling c

analytical linearized Poisson-Boltzmann model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001517
Description

The analytical linearized Poisson-Boltzmann model is a simplified version of the Poisson-Boltzmann model where the governing equation is linearized, allowing for an analytical solution under certain geometric approximations. This approach is much faster than solving the full, non-linear equation numerically but is only accurate in the limit of low electrostatic potentials. For experts, this model is less commonly used for quantitative calculations today but provides important theoretical insights into electrostatic screening. (UNVERIFIED)

Sub Class Of Poisson-Boltzmann model c

multipole moment c

IRI http://purl.obolibrary.org/obo/MOLSIM_001379
Description

A type of electronic property that provides a detailed description of the charge distribution in a molecule beyond the simple dipole moment. Higher-order multipoles, such as the quadrupole and octupole, describe the shape and symmetry of the charge distribution. They are important for accurately modeling long-range electrostatic interactions. These are often reported under "Multipole Moments" in quantum chemistry outputs. (UNVERIFIED)

Sub Class Of electronic property c

hierarchical agglomerative bottom-up algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000254
Description

A specific type of clustering algorithm that builds a hierarchy of clusters starting with each data point as its own cluster and iteratively merging the two closest clusters until only one cluster (containing all points) remains. This process creates a tree-like structure (dendrogram) that can be cut at different levels to obtain different numbers of clusters. It provides a nested partitioning of the data based on similarity (UNVERIFIED).

Sub Class Of clustering algorithm c

steered molecular dynamics parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001220
Description

A type of enhanced sampling parameter that controls a steered molecular dynamics (SMD) simulation, where an external force is applied to pull the system along a specific coordinate. These parameters define the pulling speed, force constant, and direction of the steering. The steered molecular dynamics parameter settings are essential for setting up non-equilibrium pulling simulations. These are often set with keywords like smd. (UNVERIFIED)

Sub Class Of enhanced sampling parameter c
Super Class Of

1-4 Van der Waals energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001300
Description

A specific component of the Van der Waals energy that applies only to pairs of atoms separated by exactly three covalent bonds (1-4 pairs). This interaction is often scaled by a specific factor in force fields to modulate the flexibility of dihedral angles and prevent steric clashes. Correctly accounting for this term is crucial for accurate conformational sampling of the molecule. This value is commonly referred to in AMBER and CHARMM outputs as VDW(1-4) or 1-4 VDW. (UNVERIFIED)

Sub Class Of Van der Waals energy c

Jaguar input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000873
Description

A Jaguar input file provides the instructions for a quantum chemistry calculation using the Jaguar software, often part of the Schrödinger suite. It uses a specific syntax with data sections delimited by &section_name (e.g., &gen, &zmat) and terminated by &, containing keywords and values controlling the calculation type, method, basis set, and molecular geometry. The structure facilitates setting up various QM tasks. (UNVERIFIED)

Sub Class Of simulation input format c

commute map analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000650
Description

Commute map analysis is a method used to identify how different parts of a molecule are dynamically connected, even if they are far apart. It calculates the average time it takes for a random walker to travel between any two atoms, revealing pathways of correlated motion through the molecular structure. This analysis helps to uncover long-range communication networks within a protein that are essential for its function, such as in allosteric regulation. (UNVERIFIED)

Sub Class Of dynamics analysis c

π-π interactions c

IRI http://purl.obolibrary.org/obo/MOLSIM_000185
Description

A non-covalent interaction occurring between aromatic rings, arising from a combination of electrostatic interactions between their quadrupole moments (electron-rich faces vs electron-poorer edges) and Van der Waals (dispersion) forces. The preferred geometry (e.g., stacked, parallel-displaced, T-shaped) depends on the specific aromatic systems and influences the interaction strength. They are important in protein structure (stacking of Phe, Tyr, Trp, His residues) and the stability of DNA/RNA helices (base stacking). (UNVERIFIED)

Sub Class Of Van der Waals interaction c

protein side-chain torsion angle c

IRI http://purl.obolibrary.org/obo/MOLSIM_001342
Description

A specific type of dihedral angle that describes the conformation of an amino acid's side chain. These angles determine the spatial arrangement of the side chain's functional groups. They are critical for understanding molecular interactions and protein packing. These angles are commonly referred to as chi angles, such as chi1 or chi2. (UNVERIFIED)

Sub Class Of dihedral angle c

non-equilibrium free energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000269
Description

Non-equilibrium free energy calculations determine equilibrium free energy differences by analyzing simulations where the system is deliberately driven out of equilibrium, often using methods like Steered Molecular Dynamics (SMD). These techniques typically involve performing many fast, non-reversible transformations between the initial and final states and then applying fluctuation theorems (like Jarzynski's equality or Crooks' theorem) to relate the work done during these non-equilibrium processes to the equilibrium free energy difference. This can sometimes be more efficient than equilibrium alchemical methods. (UNVERIFIED)

Sub Class Of binding free energy calculation analysis c

rism1d c

IRI http://purl.obolibrary.org/obo/MOLSIM_001591
Description

The rism1d tool is a program used to perform a one-dimensional Reference Interaction Site Model (1D-RISM) calculation. This calculation determines the structural and thermodynamic properties of a pure liquid solvent, which are needed as input for a more complex 3D-RISM calculation. Running rism1d is the necessary first step to characterize the bulk solvent before analyzing its specific arrangement around a solute molecule. (UNVERIFIED)

Sub Class Of solvation analysis tool c

mdinfo format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001118
Description

The mdinfo format is a text file generated by the Amber simulation software that provides a concise, real-time summary of a running simulation. It contains the most recently calculated energy terms and thermodynamic properties, such as temperature and pressure, formatted for easy monitoring. This file is continuously updated during a run, making it useful for checking the immediate status and stability of a simulation without having to parse the much larger main output file. (UNVERIFIED)

Sub Class Of simulation log format c

STO-4G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000215
Description

STO-4G basis sets are minimal basis sets where each Slater-Type Orbital (STO), which closely resembles atomic orbitals, is approximated by a fixed contraction of 4 Gaussian-Type Orbitals (GTOs). Using GTOs significantly speeds up the calculation of electron repulsion integrals compared to using STOs directly. (UNVERIFIED)

Sub Class Of minimal c

MAIS correction c

IRI http://purl.obolibrary.org/obo/MOLSIM_001542
Description

The MAIS correction is a computational adjustment used to improve the accuracy of free energy calculations performed with a specific type of polarizable force field. The Mutual-Attenuated-Interaction-State (MAIS) correction is a technique applied in alchemical free energy calculations with the Drude polarizable model to handle the creation or annihilation of Drude oscillators smoothly. This correction scheme is necessary to obtain stable and converged free energy differences when performing alchemical transformations involving polarizable Drude particles. (UNVERIFIED)

Sub Class Of QM/MM model component c

R c

IRI http://purl.obolibrary.org/obo/MOLSIM_000307
Description

A widely used free software environment and programming language specifically designed for statistical computing and graphics. R provides a vast collection of packages contributed by users worldwide, covering nearly every area of statistical analysis, data visualization, and data science. In biomolecular simulation analysis, R is frequently used for plotting results (energy profiles, RMSD timeseries), performing statistical analysis on sampled properties, clustering conformations, and developing custom analysis workflows. (UNVERIFIED)

Sub Class Of

conjugate gradient algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001720
Description

The conjugate gradient algorithm is an efficient iterative algorithm for finding the local minimum of a function, widely used for energy minimization of large molecular systems. It uses information about both the current gradient (forces) and the previous search direction to generate a new search direction that is "conjugate" to the old ones, accelerating convergence. For simulation experts, conjugate gradient is often the preferred method for refining molecular structures after an initial steepest descent minimization. (UNVERIFIED)

Sub Class Of energy minimization algorithm c
Super Class Of Polak-Ribiere conjugate gradient algorithm c

molecular trajectory format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001090
Description

A trajectory file stores the history of atomic positions (and sometimes velocities or forces) recorded at regular intervals during a molecular dynamics simulation. It essentially contains a series of snapshots ('frames') representing the system's movement over time. Analyzing trajectories allows researchers to study dynamic processes, conformational changes, and calculate time-averaged properties. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

TIP5P c

IRI http://purl.obolibrary.org/obo/MOLSIM_000767
Description

A 'Transferable Intermolecular Potential' 5-point water model that introduces two massless lone-pair sites (M-sites) in a tetrahedral geometry around the oxygen atom, in addition to the oxygen and two hydrogen sites. This more complex geometry aims to improve the description of the tetrahedral hydrogen bonding network in liquid water, leading to a better prediction of the temperature of maximum density compared to 3-point models. It is computationally more expensive than TIP3P or TIP4P. (UNVERIFIED)

Sub Class Of water model force field c

QuTiP c

IRI http://purl.obolibrary.org/obo/MOLSIM_000184
Description

The Quantum Toolbox in Python (QuTiP) is an open-source software library for simulating the dynamics of open quantum systems. Its focus is primarily on quantum optics, quantum information processing, and cavity QED, dealing with Hamiltonians, state vectors, density matrices, and solving master equations or Schrödinger equations for systems typically much smaller and more abstract than whole biomolecules. While it deals with quantum mechanics, its domain is generally distinct from molecular electronic structure calculation software like Gaussian or Orca. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

amber ff03 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001442
Description

Amber ff03 is a set of rules, or a force field, used in computer simulations to describe how the atoms in a protein move and interact. The AMBER ff03 protein force field was a significant redevelopment that derived its partial atomic charges from quantum mechanical calculations in a continuum solvent, aiming for a more physically realistic electrostatic model. While influential, its different charge model required consistent use of its specifically paired water model, and it was eventually succeeded by other force fields in mainstream use. (UNVERIFIED)

Sub Class Of protein force field c

Lebedev integration grid c

IRI http://purl.obolibrary.org/obo/MOLSIM_001488
Description

A Lebedev integration grid is a special set of points arranged on the surface of a sphere, designed to be very efficient for calculations involving spherical shapes. It is a specific quadrature scheme that provides a set of pre-calculated points and weights for accurately and efficiently performing numerical integration of functions over a spherical surface. In quantum chemistry, Lebedev grids are the standard method used for the angular part of the integration in DFT calculations, ensuring rotational invariance and high efficiency. (UNVERIFIED)

Sub Class Of integration grid c

element type c

IRI http://purl.obolibrary.org/obo/MOLSIM_000323
Description

An atom type that classifies an atom based strictly on its atomic number (number of protons in its nucleus), defining its fundamental chemical element. In structure files, it is typically represented by its standard IUPAC one- or two-letter chemical symbol (e.g., C, O, Fe). (UNVERIFIED)

Sub Class Of atom type c

dispersion interaction parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_002000
Description

A numerical coefficient in a force field that quantifies the strength of the long-range attractive forces between two atoms due to induced dipole fluctuations. In the standard Lennard-Jones potential, this is the C6 term, proportional to the product of the interaction energy well depth and the sixth power of the collision diameter (4ϵσ^6). For experts, this parameter governs the asymptotic decay of the van der Waals potential and is often derived from atomic polarizabilities. (UNVERIFIED)

Sub Class Of Lennard-Jones parameters c

atom position c

IRI http://purl.obolibrary.org/obo/MOLSIM_001797
Description

The atom position is the precise location of an atom in three-dimensional space. It is described by a set of three Cartesian coordinates (X, Y, Z) that specify its location relative to a defined origin. The collection of all atom positions for a molecule at a given instant constitutes a single "frame" of a simulation trajectory, and the evolution of these positions over time is the fundamental output of a molecular dynamics simulation. (UNVERIFIED)

Sub Class Of structural property c

secondary database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000703
Description

A type of database that derives its content from analyzing, curating, or integrating information from one or more primary databases, often providing value-added annotations or classifications. These databases help researchers interpret primary data by, for example, grouping proteins into families or classifying structures. Pfam (protein families) and SCOP (structural classification) are examples. (UNVERIFIED)

Sub Class Of database source c
Super Class Of

quasiharmonic mode analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000277
Description

Quasiharmonic analysis is a method used to estimate vibrational entropy from molecular dynamics simulation data by assuming atoms undergo harmonic oscillations around their average positions. It involves calculating the mass-weighted covariance matrix of atomic fluctuations from the trajectory and diagonalizing it to obtain effective vibrational frequencies (quasiharmonic modes). These frequencies are then used in standard statistical mechanics formulas for harmonic oscillators to estimate the entropy. (UNVERIFIED)

Sub Class Of enthropic contributions mode analysis c

angle unit c

IRI http://purl.obolibrary.org/obo/UO_0000121
Description

A unit which is a standard measure of the figure or space formed by the junction of two lines or planes.

Sub Class Of unit c
Super Class Of plane angle unit c

continuation state c

IRI http://purl.obolibrary.org/obo/MOLSIM_002012
Description

A configuration setting that instructs a molecular dynamics engine to resume a simulation exactly from where a previous run finished. It requires reading the full state of the system—including atomic positions, velocities, and sometimes forces—from a checkpoint or restart file to ensure a seamless trajectory. For experts, exact binary continuation is essential for preserving the ensemble distribution and avoiding artifacts associated with regenerating velocities (the "flying ice cube" effect). (UNVERIFIED)

Sub Class Of simulation parameter c

DALI c

IRI http://purl.obolibrary.org/obo/MOLSIM_001965
Description

DALI (Distance Alignment) is a software method that compares protein structures by analyzing their internal distance matrices rather than their rigid-body superposition. It breaks the structures into hexapeptide fragments and reassembles alignments to find similarities in the pattern of residue-residue contacts. This approach allows experts to detect distant evolutionary relationships and structural similarities even when the proteins have undergone significant conformational changes or distortions. (UNVERIFIED)

Sub Class Of match analysis tool c

umbrella anchor position c

IRI http://purl.obolibrary.org/obo/MOLSIM_001227
Description

An umbrella sampling parameter that determines the center or boundaries of the harmonic potential for a specific umbrella sampling window. This parameter defines the region of the reaction coordinate that will be sampled in that window. The umbrella anchor position is a key parameter that is varied between different windows. This is often set with the keyword anchor_position. (UNVERIFIED)

Sub Class Of umbrella sampling parameter c

simulation log format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000439
Description

A simulation log format is a text-based file structure that records the progress and key information generated during a computer simulation or calculation. It typically includes a copy of the input settings, step-by-step updates on energy and temperature, performance timings, and any warnings or error messages. This format is the primary source for monitoring a simulation's stability, diagnosing problems, and extracting averaged thermodynamic properties after the run is complete. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

structural analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000917
Description

A category of analysis methods focused on examining the three-dimensional arrangement of atoms (geometry and conformation) and the overall shape and topology of molecules based on simulation data or optimized structures. This includes measuring geometric parameters (distances, angles, dihedrals), identifying characteristic local and global structural features, comparing structures, and quantifying structural fluctuations. It helps understand molecular architecture, flexibility, stability, and structure-function relationships. (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of

metadynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000852
Description

Metadynamics is an enhanced sampling technique that accelerates the exploration of complex energy landscapes by adding a history-dependent bias potential along a few chosen collective variables (CVs). Small repulsive energy 'hills' (often Gaussian functions) are periodically deposited at the system's current location in the CV space, discouraging revisiting explored areas and eventually filling up free energy wells. The accumulated bias potential provides an estimate of the free energy surface along the selected CVs. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of multiple-walkers metadynamics c

topology and parameterization tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000172
Description

A topology and parameterization tool is a specialized program used to define the chemical properties and interaction rules for each atom in a molecular model. It essentially creates a blueprint that tells the simulation engine how atoms are connected into molecules and the forces that govern their behavior. For experts, these tools are critical for assigning a consistent force field, generating charges, and preparing non-standard molecules like drugs for simulation. (UNVERIFIED)

Sub Class Of modeling and setup tool c
Super Class Of

memembed c

IRI http://purl.obolibrary.org/obo/MOLSIM_000228
Description

A specific computational tool or algorithm designed to predict the optimal orientation and insertion depth of a membrane protein within a lipid bilayer. It typically works by optimizing the protein's position and orientation to minimize the calculated free energy of transferring the protein's amino acid side chains into the heterogeneous membrane environment (hydrophobic core vs interface vs aqueous phase), often using knowledge-based potentials or physical terms. The goal is to generate a realistic starting structure for membrane protein simulations. (UNVERIFIED)

Sub Class Of membrane protein orientation tool c

complementary techniques for MD c

IRI http://purl.obolibrary.org/obo/MOLSIM_000988
Description

Experimental or computational methods used alongside Molecular Dynamics (MD) simulations to provide synergistic information, validate simulation accuracy, or compute properties challenging for standard MD alone. These techniques bridge simulation results with real-world measurements or provide deeper thermodynamic or structural insights. They help build a more comprehensive understanding of the molecular system under study. (UNVERIFIED)

Sub Class Of experimental method c
Super Class Of

unrestricted open-shell wavefunction c

IRI http://purl.obolibrary.org/obo/MOLSIM_001780
Description

A type of wavefunction model specifically used for molecules that have unpaired electrons, such as radicals or certain metal complexes. In an unrestricted open-shell wavefunction, electrons with spin-up and spin-down are allowed to occupy different spatial orbitals, providing the necessary flexibility to describe the different distributions of the unpaired electrons. This model is the basis for Unrestricted Hartree-Fock (UHF) and open-shell DFT calculations and is essential for correctly modeling the electronic structure and properties of radical species. (UNVERIFIED)

Sub Class Of wavefunction model c

NetCDF format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000844
Description

The NetCDF (Network Common Data Form) format, which typically uses the .nc extension, is a set of software libraries and a file format designed for storing and sharing array-oriented scientific data. Developed and maintained by the Unidata program at the University Corporation for Atmospheric Research (UCAR), it is an open standard widely used across many scientific disciplines, including earth sciences, climate modeling, and molecular dynamics. While Amber has adopted NetCDF as its preferred, modern format for storing trajectories and other data, the format itself is not specific to Amber and is a general-purpose standard. (UNVERIFIED)

Sub Class Of general data format c
Super Class Of NetCDF trajectory format c

coarse grained c

IRI http://purl.obolibrary.org/obo/MOLSIM_001915
Description

Coarse-grained is a simulation model resolution where groups of atoms are simplified and represented as a single interaction site or "bead." This reduction in the number of particles allows for the simulation of much larger systems over much longer timescales than is possible with all-atom models. For experts, coarse-graining is an essential technique for studying large-scale phenomena like membrane self-assembly or the dynamics of viral capsids. (UNVERIFIED)

Sub Class Of simulation model resolution c

restraint energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001307
Description

A component of the system's energy that arises from artificial potentials applied to enforce specific geometric constraints, such as keeping atoms near a reference position. This term quantifies the energetic penalty for any deviation from the applied positional or distance restraints. The restraint energy is monitored to ensure that the simulation is satisfying the desired constraints. Simulation outputs list this value as Restraint, Constraint, or RESTRAINT. (UNVERIFIED)

Sub Class Of energy c

cromer's method c

IRI http://purl.obolibrary.org/obo/MOLSIM_001992
Description

A mathematical approach used to estimate how strongly atoms scatter X-rays. It approximates the atomic scattering factor using a sum of Gaussian functions based on quantum mechanical calculations of electron density. For experts, this parametrization (often the Cromer-Mann coefficients) is standard in crystallography and simulation analysis for calculating theoretical structure factors and comparing simulation trajectories with experimental X-ray scattering data (SAXS/WAXS). (UNVERIFIED)

Sub Class Of analysis algorithm c

MMPBSA.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_000242
Description

A specific implementation of the MM/PBSA and MM/GBSA methods, distributed as a Python script within the AmberTools software suite. It reads trajectory files (from AMBER or other packages) and calculates binding free energies by computing the MM energy components (using sander or other external programs), the electrostatic solvation energy (using PB or GB solvers), and the nonpolar solvation energy (SASA-based), and combining them according to the MM/PBSA or MM/GBSA schemes. It automates this popular but approximate free energy estimation procedure. (UNVERIFIED)

Sub Class Of molecular mechanics Poisson-Boltzmann surface area tool c

thermodynamic integration approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000286
Description

This term categorizes the various specific strategies and protocols used to implement Thermodynamic Integration (TI) calculations. These approaches differ in how the transformation pathway between the initial and final states is constructed, how the system's Hamiltonian is modified along the path (e.g., topology handling), and how the sampling at intermediate states is performed. The choice of approach affects the efficiency, accuracy, and applicability of the TI calculation. (UNVERIFIED)

Sub Class Of thermodynamic integration analysis c
Super Class Of

ndfes-AvgFESs.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001645
Description

This script is a utility from a specific software package (ndfes) used to average multiple free energy surfaces (FESs). It likely takes several free energy profiles, for example from replicate simulations, and calculates their average and standard deviation. This is a standard final step in free energy analysis to obtain a statistically robust result and estimate its uncertainty. (UNVERIFIED)

Sub Class Of utility script c

pyMBAR c

IRI http://purl.obolibrary.org/obo/MOLSIM_000496
Description

pyMBAR refers to a specific Python software library implementation of the Multistate Bennett Acceptance Ratio (MBAR) method. MBAR itself is a statistical technique for optimally combining data from multiple simulations to calculate free energies and expectation values. Therefore, pyMBAR is a tool used for the analysis stage of free energy calculations, particularly for processing data generated by methods like umbrella sampling or replica exchange simulations. (UNVERIFIED)

Sub Class Of library c

MNDO/d c

IRI http://purl.obolibrary.org/obo/MOLSIM_001457
Description

MNDO/d is a specific semi-empirical quantum mechanical method that is an extension of the original MNDO method. The "/d" indicates that d-orbitals have been added to the basis set for second-row and heavier elements. This addition is crucial for correctly describing the geometry and electronic structure of hypervalent compounds and transition metal complexes. (UNVERIFIED)

Sub Class Of semi-empirical method c

LANL08 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000512
Description

LANL08 denotes an updated set of effective core potentials (ECPs) and associated valence basis sets developed at Los Alamos National Laboratory, primarily for calculations involving heavier elements. The ECP replaces the chemically inert core electrons, reducing computational cost and implicitly including some relativistic effects, while the valence basis describes the outer electrons involved in bonding. It supersedes older LANL ECP/basis versions like LANL2DZ for many applications. (UNVERIFIED)

Sub Class Of split-valence c

PPP c

IRI http://purl.obolibrary.org/obo/MOLSIM_000805
Description

The Pariser-Parr-Pople method, a classic semi-empirical technique specifically designed for calculating the electronic structure of conjugated systems (molecules with alternating single and double bonds). It is a pi-electron restricted method, meaning it only explicitly treats the pi electrons, which are crucial for the properties of these specific systems. Note: This is typically classified as a pi-electron method, not an all-valence-electron method (UNVERIFIED).

Sub Class Of pi-electron restricted c

area per lipid c

IRI http://purl.obolibrary.org/obo/MOLSIM_001868
Description

The area per lipid is a fundamental property calculated in membrane analysis that represents the average surface area occupied by a single lipid molecule in the plane of the bilayer. It is calculated by dividing the total area of the simulation box in the membrane plane by the number of lipids in one leaflet. For experts, obtaining a stable and correct area per lipid is one of the most critical checks for confirming that a membrane simulation is properly equilibrated and physically realistic. (UNVERIFIED)

Sub Class Of analysis c

ligand efficiency c

IRI http://purl.obolibrary.org/obo/MOLSIM_000155
Description

Ligand efficiency (LE) is a metric that relates the binding affinity of a ligand to its size (usually measured by the number of heavy, non-hydrogen atoms), often calculated as the free energy change per heavy atom (ΔG/N heavy). This criterion favors selecting or optimizing ligands that achieve potent binding with relatively small size, which is often desirable in early drug discovery. It helps prioritize more 'atom-efficient' binders. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

computational feasibility c

IRI http://purl.obolibrary.org/obo/MOLSIM_000151
Description

Computational feasibility assesses whether the required simulations for a selected ligand or pair are practically achievable within available time and computational resources. This includes considering the size of the system, the complexity of the transformation pathway (for alchemical methods), and the expected convergence time for the simulations. Highly complex or large changes might be deemed infeasible. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

small molecule structure (deprecated) c

IRI http://purl.obolibrary.org/obo/MOLSIM_000905
Description

Small molecule structure formats are designed primarily for representing organic and drug-like molecules, often emphasizing chemical details like bond orders, formal charges, and stereochemistry. These formats are widely used in cheminformatics, drug discovery databases, and as input for various modeling tasks. Common examples include SDF, Mol2, and SMILES strings. (UNVERIFIED)

Sub Class Of molecular structure format c

atom order fixing analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000678
Description

An atom order fixing method is a procedure used to reorder the atoms in a structure file to ensure they match the order expected by a corresponding topology file. Inconsistencies in atom ordering are a common source of errors when preparing systems for simulation. For experts, this is a critical sanity check and correction step to ensure that the coordinates and parameters are correctly matched for every atom. (UNVERIFIED)

Sub Class Of system setup modeling c

disulfide bridges c

IRI http://purl.obolibrary.org/obo/MOLSIM_000194
Description

A specific type of covalent bond formed by the oxidation of the thiol (-SH) groups of two cysteine amino acid residues, creating a sulfur-sulfur bond (-S-S-). These bonds can form between cysteines within the same polypeptide chain (intramolecular) or between different chains (intermolecular), acting as strong cross-links that significantly stabilize the folded tertiary or quaternary structure of many proteins, particularly extracellular ones. Formation and breakage of disulfide bridges are important biochemical processes. (UNVERIFIED)

Sub Class Of covalent interaction c

thermodynamic integration extrapolation approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000298
Description

This category encompasses variants of TI calculations where the full integral ∫ 0 1 ⟨∂H/∂λ⟩λ dλ is estimated based on simulation data obtained only at or near the endpoints (λ=0 and λ=1) or at a very limited number of intermediate points, using some form of extrapolation. These approaches aim to significantly reduce the computational cost associated with simulating many intermediate λ states. The accuracy critically depends on the validity of the extrapolation scheme used for the specific system. (UNVERIFIED)

Sub Class Of thermodynamic integration analysis c
Super Class Of

OPLS-AA/L c

IRI http://purl.obolibrary.org/obo/MOLSIM_001984
Description

OPLS-AA/L is a version of the OPLS-AA all-atom force field that was re-parameterized to improve the accuracy of protein simulations. It focused on refining the torsional parameters to better reproduce experimental data for peptides and organic liquids compared to the original release. For experts, this parameter set (Kaminski et al., 2001) serves as a significant update to the original 1996 OPLS-AA, aiming to correct alpha-helix vs beta-sheet population ratios found in earlier simulations. (UNVERIFIED)

Sub Class Of OPLS-AA c

isothermal-isobaric ensemble c

IRI http://purl.obolibrary.org/obo/MOLSIM_000197
Description

A statistical ensemble representing systems where the number of particles (N), the temperature (T), and the pressure (P) are held constant; hence often called the NPT ensemble. The system is considered to be in contact with both a heat bath (constant T) and a pressure bath (constant P), allowing both energy and volume fluctuations. Simulations in the NPT ensemble are often preferred for mimicking typical laboratory conditions where experiments are conducted at constant atmospheric pressure and controlled temperature, allowing the system density to equilibrate naturally. (UNVERIFIED)

Sub Class Of ensemble c

extended thermodynamic integration c

IRI http://purl.obolibrary.org/obo/MOLSIM_000288
Description

Extended Thermodynamic Integration likely refers to modifications or extensions of the standard TI protocol designed to handle more complex transformations, improve sampling efficiency, or apply TI in broader contexts beyond simple λ-coupling. This might include approaches combining TI principles with non-equilibrium work measurements, using specialized integration schemes along multiple reaction coordinates, or applying advanced sampling techniques at intermediate λ states. The specific meaning depends heavily on the context in which it is used. (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

Intel Math Kernel Library c

IRI http://purl.obolibrary.org/obo/MOLSIM_001587
Description

The Intel Math Kernel Library (MKL) is a collection of highly optimized mathematical functions for science, engineering, and financial applications, specifically tuned for Intel processors. It provides high-performance implementations of routines for linear algebra (BLAS, LAPACK), Fast Fourier Transforms (FFT), and other core mathematical operations. For biomolecular simulation software, linking against MKL can significantly boost performance by accelerating the fundamental mathematical computations underlying the simulation algorithms. (UNVERIFIED)

Sub Class Of library c

root mean square error (RMSE) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001407
Description

A type of statistical property that measures the average magnitude of the error between predicted values and observed values. It is calculated as the square root of the average of the squared differences between predictions and actuals. The root mean square error is a standard metric for evaluating the accuracy of a computational model. This is often abbreviated as RMSE. (UNVERIFIED)

Sub Class Of statistical property c

datum label c

IRI http://purl.obolibrary.org/obo/IAO_0000009
Description

A label is a symbol that is part of some other datum and is used to either partially define the denotation of that datum or to provide a means for identifying the datum as a member of the set of data with the same label

Sub Class Of information content entity c
Super Class Of measurement unit label c

solvated environment c

IRI http://purl.obolibrary.org/obo/MOLSIM_002069
Description

A solvated environment is a simulation context in which the primary solute molecule is completely surrounded by a liquid medium composed of solvent molecules. This environment is characterized by bulk liquid properties such as density, viscosity, and a specific dielectric constant. For experts, simulating molecules in a solvated environment is essential for capturing the thermodynamic and structural effects of solvent interactions, which heavily dictate biomolecular folding and binding. (UNVERIFIED)

Sub Class Of simulation environment c
Super Class Of

deuterium order parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001401
Description

A type of spectroscopic property that measures the orientational order of a carbon-deuterium bond, typically in the acyl chains of lipid molecules. The Deuterium Order Parameter is measured by solid-state NMR and provides detailed information about the packing and flexibility of a lipid bilayer. It is a key experimental observable for validating membrane simulations. This is often abbreviated as SCD. (UNVERIFIED)

Sub Class Of spectroscopic property c

saddle analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000586
Description

A saddle point on a potential energy surface is a stationary point (where forces are zero) that corresponds to an energy maximum along one direction (the reaction pathway) and an energy minimum along all other directions. It represents the highest energy barrier that must be overcome during a chemical transformation. Locating saddle points is key to identifying transition states and calculating activation energies for reactions. (UNVERIFIED)

Sub Class Of surface analysis c

high-performance computing cluster system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001936
Description

A computing system consisting of a group of individual computers (nodes) linked together by a high-speed network to function as a single, coordinated system for parallel processing. This encompasses a wide range of scales, from small laboratory clusters to massive institutional systems. (UNVERIFIED)

Sub Class Of computing system c
Super Class Of supercomputer system c

Tan&Luo radii set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001736
Description

This is a specific set of atomic sizes developed to improve the accuracy of a particular type of implicit solvent calculation. The Tan & Luo radii set is a collection of atomic radii optimized for use with the GB-Neck2 implicit solvent model, which includes corrections for inaccuracies in earlier Generalized Born models. These radii were specifically parameterized to work with the improved GB-Neck2 formulation, aiming for higher accuracy in the calculation of solvation free energies. (UNVERIFIED)

Sub Class Of radii set c

solvation free energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001317
Description

A type of free energy representing the energy change when a molecule is transferred from a vacuum into a solvent. This value quantifies the molecule's solubility and is a key component in thermodynamic cycles used to calculate binding affinities. The solvation free energy is a primary output of continuum solvent models and 3D-RISM calculations. This quantity is often denoted as delta G solv or G_solv. (UNVERIFIED)

Sub Class Of free energy property c
Super Class Of

simulation log c

IRI http://purl.obolibrary.org/obo/MOLSIM_001082
Description

A simulation log is a text file that records everything that happened during a computer simulation. As a type of process output, the simulation log is a human-readable file that contains a time-ordered record of a simulation run, including an echo of input parameters, performance data, and periodic updates of thermodynamic properties like Etot, Temp, and Press. This file is the primary source for monitoring the progress and stability of a simulation and for diagnosing errors. These files are commonly named with extensions like .log, .out, or .mdout and contain keywords such as "TIMINGS," "AVERAGES," and "NSTEP." (UNVERIFIED)

Sub Class Of process output c

J-coupling c

IRI http://purl.obolibrary.org/obo/MOLSIM_001399
Description

A type of spectroscopic property that measures the through-bond interaction between two nuclear spins, which causes splitting of NMR signals. The J-coupling is highly sensitive to the dihedral angle between the coupled nuclei, as described by the Karplus relationship. It is a key piece of experimental data used to determine molecular conformation. This is a standard output of NMR analysis programs. (UNVERIFIED)

Sub Class Of spectroscopic property c

overlap coefficient algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000083
Description

A similarity calculation method that measures the overlap between two sets, defined as the size of the intersection divided by the size of the smaller of the two sets. Unlike Tanimoto/Jaccard, it reaches 1 if one set is a subset of the other. It is useful for assessing containment or sub-structure relationships (UNVERIFIED).

Sub Class Of similarity calculation algorithm c

protein sequence database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000696
Description

A sequence database specifically focused on collecting, annotating, and distributing protein amino acid sequences and associated functional information. These resources are vital for understanding protein evolution, function, and for identifying proteins from experimental data. UniProtKB is a comprehensive example. (UNVERIFIED)

Sub Class Of sequence database c

GAUSSIAN electrostatic potential format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001117
Description

The Gaussian electrostatic potential format refers to the way the Gaussian quantum chemistry program stores electrostatic potential (ESP) values calculated on a grid of points in space. This data is most commonly stored in the Gaussian Cube file format (.cube), which includes the grid definition and the ESP value at each grid point. This volumetric data file is essential for visualizing the electrostatic potential around a molecule and is the primary input for deriving ESP-fitted atomic charges using methods like RESP. (UNVERIFIED)

Sub Class Of quantum chemistry format c

MDTraj h5 format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001060
Description
  • An HDF5-based trajectory file format used by the MDTraj library.

  • The MDTraj h5 format is a modern, efficient file type for storing the movement of atoms from a simulation. As a type of molecular trajectory format, it is a binary format based on the HDF5 standard, specifically implemented by the MDTraj Python library for storing trajectory data. This format allows for efficient, chunked access to large datasets and can store not only coordinates but also topology and other time-series data in a single, self-contained file. Files in this format typically have a .h5 extension and are associated with MDTraj functions like md.load_hdf5 and traj.save_hdf5. (UNVERIFIED)

Sub Class Of molecular trajectory format c

MVAPICH2-GDR c

IRI http://purl.obolibrary.org/obo/MOLSIM_001655
Description

MVAPICH2-GDR is a specific high-performance implementation of the Message Passing Interface (MPI) library, optimized for modern supercomputing clusters. The "GDR" designation indicates that it supports GPUDirect RDMA, a technology that enables direct data transfer between GPUs on different nodes, bypassing the CPU. For large-scale GPU-accelerated simulations, this library can significantly improve communication performance and overall simulation speed. (UNVERIFIED)

Sub Class Of MPI library c

software development and management tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000171
Description

A software development and management tool is a program that assists programmers in the process of creating, compiling, testing, and maintaining other software. These tools are not used to run the final simulation but are essential for building the simulation software from its source code. For experts, this category includes compilers, build systems, and package managers that are necessary to install and manage the complex software ecosystem required for biomolecular simulation. (UNVERIFIED)

Sub Class Of software c
Super Class Of

mdvel format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000598
Description

An Amber trajectory format that specifically stores the velocities of each atom in the system over time. It is generated during a simulation to capture the dynamic motion of particles. This format is used for advanced analyses that require knowledge of atomic velocities. (UNVERIFIED)

Sub Class Of molecular trajectory format c

kinematic viscosity unit c

IRI http://purl.obolibrary.org/obo/MOLSIM_010007
Description

A unit that measures a fluid's resistance to flow under the influence of gravity. It is the ratio of the fluid's dynamic viscosity to its density.

Sub Class Of unit c
Super Class Of square centimeter per second c

predicted structure repository c

IRI http://purl.obolibrary.org/obo/MOLSIM_000711
Description

A repository that archives and provides access to computationally predicted three-dimensional structures of proteins, often generated by large-scale initiatives or community efforts. These resources offer structural hypotheses for proteins lacking experimental structures. The AlphaFold DB is a prominent example. (UNVERIFIED)

Sub Class Of repository database c

multiply-targeted molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000405
Description

Multiply-targeted molecular dynamics is an enhanced sampling technique that biases a simulation to explore the conformational space between several known target structures simultaneously. Unlike standard targeted MD which pulls a molecule from one state to another, this method encourages the system to visit a collection of different functional states. This is useful for characterizing the pathways that connect multiple known conformations of a protein, such as its active and inactive forms. (UNVERIFIED)

Sub Class Of targeted molecular dynamics c

parm7 format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001043
Description

A file format from the Amber simulation software that describes the structure and force field parameters of a molecule. This is the traditional, ASCII-based version of the Amber parameter/topology file, containing all information needed to calculate forces on the system. It is often used interchangeably with the prmtop format. (UNVERIFIED)

Sub Class Of AMBER topology format c

transition state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000101
Description

In chemical kinetics and simulation, the transition state refers to a specific, high-energy, transient molecular configuration along the reaction coordinate connecting two stable states (e.g., reactant and product, or bound and unbound states). It represents the energy barrier that must be overcome for the transition to occur. While challenging to simulate directly due to its short lifetime, characterizing the transition state is crucial for understanding reaction mechanisms and rates, often studied using specialized simulation techniques or QM methods. (UNVERIFIED)

Sub Class Of ligand state c

SYBYL c

IRI http://purl.obolibrary.org/obo/MOLSIM_000491
Description

A comprehensive commercial molecular modeling software suite developed by Certara, widely used in drug discovery and computational chemistry. SYBYL offers extensive tools for structure building and manipulation, conformational analysis, pharmacophore modeling, QSAR, docking, scoring, and visualization, along with molecular mechanics and dynamics capabilities. It provides an integrated environment for many structure preparation and modeling tasks relevant to biomolecular simulation setup, particularly in pharmaceutical research. (UNVERIFIED)

Sub Class Of software suite c

thermodynamic integration without linear extrapolation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000356
Description

This term describes any thermodynamic integration approach that avoids estimating the total free energy by simply drawing a straight line between the calculated endpoints. This includes the standard multi-step TI method, where the integrand is calculated at numerous intermediate points, as well as more complex extrapolation schemes that use non-linear functions. For experts, these methods are generally more robust and accurate than assuming a simple linear relationship for the free energy change. (UNVERIFIED)

Sub Class Of thermodynamic integration extrapolation approach c

A* search algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000091
Description

An informed search algorithm used for finding the shortest path between a starting node and a target node in a graph, commonly used in pathfinding and planning problems. It extends Dijkstra's algorithm by using a heuristic function to estimate the cost from the current node to the target, guiding the search towards the goal more efficiently. Its performance depends on the quality of the heuristic used (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

cc-pV(T+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000540
Description

The cc-pV(T+d)Z basis set enhances the standard cc-pVTZ basis with an additional optimized d-type polarization function, mainly intended for second-row elements (Na-Ar). This augmentation provides a more complete description of polarization and correlation effects for these atoms at the triple-zeta level compared to the regular cc-pVTZ. (UNVERIFIED)

Sub Class Of split-valence c

TIW c

IRI http://purl.obolibrary.org/obo/MOLSIM_001687
Description

The Thermodynamic Integration Workflow (TIW) is a software framework that automates the complex process of calculating relative binding free energies using the thermodynamic integration (TI) method. It streamlines the entire procedure by automatically preparing the molecular system, running the required series of simulations across different intermediate states, and analyzing the final results. For experts, TIW is a collection of modular scripts that handles the creation of hybrid topologies, the generation of input files for each lambda window, and the final integration of the dV/dλ data, thereby ensuring reproducibility and minimizing manual errors in alchemical free energy calculations. (UNVERIFIED)

Source https://doi.org/10.1002/jcc.23218
Sub Class Of framework c

xTB c

IRI http://purl.obolibrary.org/obo/MOLSIM_001596
Description

The xTB program is a software package that implements a family of modern, highly efficient semi-empirical quantum mechanical methods. These methods, known as GFN-xTB, are designed to provide a good balance of speed and accuracy for a wide range of chemical systems across the periodic table. The program is widely used for rapid geometry optimization, vibrational frequency analysis, and energy calculations on large and complex molecules where higher-level methods would be too slow. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

hydrophobic patches c

IRI http://purl.obolibrary.org/obo/MOLSIM_001858
Description

Hydrophobic patches are areas on a protein's surface that are oily and tend to repel water. These regions are rich in non-polar amino acid residues, which cluster together to minimize their contact with the surrounding aqueous environment. Identifying these patches is crucial for understanding protein-protein interactions, membrane association, and aggregation, as they often represent key binding interfaces. (UNVERIFIED)

Sub Class Of structural property c

adaptive buffered force-mixing c

IRI http://purl.obolibrary.org/obo/MOLSIM_000632
Description

Adaptive buffered force-mixing is a sophisticated QM/MM simulation method that uses a flexible boundary between the high-accuracy quantum (QM) region and the classical (MM) region. It employs a "buffer" zone of atoms where forces are calculated as a smooth mixture of both QM and MM forces, allowing the QM region to move and adapt as a chemical reaction proceeds. This technique provides a stable and accurate way to model reactions without needing to define a large, static QM region in advance. (UNVERIFIED)

Sub Class Of QM/MM simulation c

NMR data repository c

IRI http://purl.obolibrary.org/obo/MOLSIM_000702
Description

A spectroscopic database specifically designed to store, organize, and disseminate experimental data from Nuclear Magnetic Resonance (NMR) studies of biomolecules. This includes raw spectral data, assigned chemical shifts, coupling constants, and derived structural constraints, complementing 3D coordinate depositions. The BMRB is the principal repository. (UNVERIFIED)

Sub Class Of spectroscopic database c

polarizable force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000639
Description

A polarizable force field is an advanced type of force field that explicitly models the phenomenon of electronic polarization. Unlike standard fixed-charge force fields, it allows the charge distribution of a molecule to change in response to the local electric field of its environment. For experts, polarizable force fields provide a more physically accurate description of electrostatic interactions, which can be critical for systems involving ions or highly charged interfaces. (UNVERIFIED)

Sub Class Of force field c
Super Class Of

AMBER topology format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000472
Description

The Amber molecular dynamics topology file (.prmtop or .parm7) contains all the static information about the molecular system needed for an Amber simulation, excluding coordinates. This includes atom definitions (names, types, masses, charges), molecular connectivity (bonds, angles, dihedrals), force field parameters for all interaction terms, and non-bonded interaction rules. It is generated by programs like tleap and used together with a coordinate file (.inpcrd, .rst7). (UNVERIFIED)

Sub Class Of molecular topology format c
Super Class Of

finddgref.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001649
Description

This script is a utility used to find a reference free energy value (dG_ref) from a set of calculations. It likely processes output files from free energy calculations to establish a consistent zero point for a series of relative free energy predictions. This is a common step in organizing and analyzing the results from large-scale alchemical free energy studies. (UNVERIFIED)

Sub Class Of utility script c

probe radius c

IRI http://purl.obolibrary.org/obo/MOLSIM_001280
Description

An MM-PBSA/GBSA parameter that specifies the radius of the probe molecule (typically water) used to calculate the solvent-accessible surface area. The probe radius is a key parameter for the non-polar part of the solvation free energy calculation. This is often set with the keyword probe or prbrad. (UNVERIFIED)

Sub Class Of MM-PBSA/GBSA parameter c

minimum image convention c

IRI http://purl.obolibrary.org/obo/MOLSIM_001986
Description

A rule used in computer simulations to calculate forces in a repeating, infinite system. It states that a particle should interact only with the nearest instance of another particle, whether that instance is in the same simulation box or a neighboring periodic copy. For experts, this approximation is valid when the cutoff radius is less than half the shortest box vector, ensuring particles do not interact with their own periodic images (except in small systems where this artifact is intentional). (UNVERIFIED)

Sub Class Of algorithm c

charge derivation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001971
Description

A charge derivation tool is a software program designed to calculate and assign partial atomic charges to a molecule for use in a force field. These tools implement specific charge models, such as AM1-BCC or RESP, often by performing or processing semi-empirical or ab initio quantum mechanical calculations. They are essential for defining the electrostatic properties of a molecule, which govern its interactions with the environment. (UNVERIFIED)

Sub Class Of topology and parameterization tool c
Super Class Of

fit Tversky combo c

IRI http://purl.obolibrary.org/obo/MOLSIM_000084
Description

A comprehensive molecular similarity measure that combines FitTversky shape matching with FitColorTversky chemical feature matching into a single metric. This measure emphasizes the database (fit) molecule's characteristics through its high β parameter value (0.95), making it particularly useful for identifying compounds where the query molecule is a substructure of database molecules. Like RefTverskyCombo, it produces scores typically ranging from 0 to 2, providing a balanced assessment of both geometric shape and chemical functionality similarities.

Sub Class Of Tversky index algorithm c

number of clusters to generate c

IRI http://purl.obolibrary.org/obo/MOLSIM_001267
Description

A clustering parameter that specifies the desired number of clusters to be generated by the algorithm. This is used in algorithms like k-means, where the number of clusters is a direct input. The number of clusters to generate is a key parameter for controlling the output of the clustering analysis. This is often set with the keyword k or nclusters. (UNVERIFIED)

Sub Class Of clustering parameter c

color Tanimoto score c

IRI http://purl.obolibrary.org/obo/MOLSIM_010017
Description

The color Tanimoto score is a quantitative metric used in cheminformatics to measure the similarity between two molecules based on their pharmacophoric features or chemical properties. Unlike shape-based scoring, it specifically compares the spatial overlap of chemical feature types, such as hydrogen bond donors, acceptors, and hydrophobic regions. This score provides a value between 0 and 1, allowing researchers to identify molecules that share similar chemical functionality and binding potential despite differences in their underlying shape. (UNVERIFIED)

Sub Class Of Tanimoto similarity algorithm c

hydrogen mass repartitioning analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001337
Description

Hydrogen mass repartitioning is a system setup method where a portion of the mass of a heavy atom is transferred to its bonded hydrogen atoms. This makes the hydrogens heavier, which slows down their bond vibrations and allows a larger time step to be used in a molecular dynamics simulation. For experts, this technique, often abbreviated HMR, is a common strategy to increase computational efficiency without significantly altering the system's dynamics. (UNVERIFIED)

Sub Class Of system setup modeling c

relevance to drug discovery c

IRI http://purl.obolibrary.org/obo/MOLSIM_000152
Description

This criterion prioritizes selecting ligands and studying modifications that are directly relevant to an ongoing drug discovery project or a specific therapeutic goal. The focus is on exploring chemical space that is synthetically accessible and likely to lead to compounds with improved potency, selectivity, or pharmacokinetic properties. It links computational work directly to project objectives. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

orientation angle c

IRI http://purl.obolibrary.org/obo/MOLSIM_001353
Description

A specific type of orientation descriptor that represents the angle of rotation between the current orientation and a reference orientation. This provides a simple, scalar measure of how much a molecule has rotated. This value is often reported as ORIENTATION_ANGLE. (UNVERIFIED)

Sub Class Of orientation c

acdoctor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001619
Description

The acdoctor script is a utility program, often used in conjunction with Amber's antechamber tool, to diagnose and attempt to fix common problems found in small molecule structure files. It checks for issues like incorrect atom types, improper connectivity, or other inconsistencies that would prevent successful force field parameterization. For researchers preparing novel ligands for simulation, acdoctor is a useful diagnostic tool to ensure the input structure is chemically sensible. (UNVERIFIED)

Sub Class Of utility script c

amber ff12SB c

IRI http://purl.obolibrary.org/obo/MOLSIM_000743
Description

A specific protein force field parameter set from the AMBER family, representing an update released around 2012. It incorporated refinements, particularly related to sidechain torsion parameters, building upon the ff99SB lineage. It served as an intermediate improvement before the release of ff14SB. (UNVERIFIED)

Sub Class Of protein force field c

molecular mechanics Poisson-Boltzmann surface area module c

IRI http://purl.obolibrary.org/obo/MOLSIM_000461
Description

This likely refers to a software module or library component within a larger simulation or modeling package that provides the functionality to perform MM/PBSA calculations. Unlike a standalone script like MMPBSA.py, this would be an integrated part of a program (like CHARMM, Schrödinger suite, MOE) offering MM/PBSA analysis as one of its features, using its internal MM energy calculation routines and PB solvers. (UNVERIFIED)

Sub Class Of molecular mechanics Poisson-Boltzmann surface area tool c

base pair parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001359
Description

A type of nucleic acid parameter that describes the relative geometry and orientation of the two bases within a single base pair. These parameters quantify any non-ideal arrangements within the pair. They are used to characterize the internal conformation and planarity of base pairs. These parameters include shear, stretch, stagger, buckle, propeller twist, and opening. (UNVERIFIED)

Sub Class Of nucleic acid parameter c
Super Class Of

automation script c

IRI http://purl.obolibrary.org/obo/MOLSIM_000167
Description

A script specifically designed to automate a series of steps in a workflow that would otherwise need to be performed manually. In simulations, this could involve automatically setting up multiple simulation replicas, submitting jobs to a computing cluster, checking job status, and organizing output files, thereby reducing manual effort and potential errors. Workflow management systems often rely heavily on automation scripts. (UNVERIFIED)

Sub Class Of script c
Super Class Of free energy workflow c

data source c

IRI http://purl.obolibrary.org/obo/MOLSIM_000688
Description
  • TODO:may be be replacable with IAO's information content entity (http://purl.obolibrary.org/obo/IAO_0000030 ) as an import. discussion needed: the definition there is however rather abstract. #ontologyengineer #import

  • Represents any origin from which information or data relevant to biomolecular studies and simulations is obtained. This broad category includes everything from experimental databases and scientific literature to computational predictions and raw output files. Understanding the data source is crucial for assessing data reliability, reproducibility, and context in biomolecular research. (UNVERIFIED)

In Range Of protein structure source op
Super Class Of

AMBER force field parameter format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000940
Description

A text-based file format used by the AMBER software suite to store standard force field parameters. These files (historically using the .dat extension) contain the equilibrium values and force constants for bonds, angles, dihedrals, and non-bonded interactions for specific atom types. They serve as the central parameter database loaded by system-building tools like LEaP. (UNVERIFIED)

Sub Class Of force field parameter format c

cc-pCV5Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000537
Description

The cc-pCV5Z (correlation-consistent polarized Core-Valence Quintuple-Zeta) basis set combines the very large cc-pV5Z valence description with additional tight functions optimized for core-valence electron correlation. It is intended for extremely high-accuracy benchmark calculations on small molecules where capturing correlation effects from both core and valence electrons near the basis set limit is desired. (UNVERIFIED)

Sub Class Of split-valence c

canonical ensemble c

IRI http://purl.obolibrary.org/obo/MOLSIM_000196
Description

A statistical ensemble representing systems where the number of particles (N), the system volume (V), and the temperature (T) are held constant; hence often called the NVT ensemble. The system is considered to be in thermal contact with an infinitely large heat bath at temperature T, allowing energy exchange. Simulations performed in the NVT ensemble generate configurations according to the Boltzmann probability distribution appropriate for that temperature, making it suitable for studying equilibrium properties under constant temperature and volume conditions. (UNVERIFIED)

Sub Class Of ensemble c

distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_000080
Description

A type of structural property that represents the separation between two specified atoms or centers of mass. It is a fundamental geometric measure used to monitor interactions like hydrogen bonds, salt bridges, or the separation between molecular components. Analysis outputs frequently report distance values over time. This value is commonly referred to as dist in analysis scripts. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of ion-oxygen distance c

Lennard-Jones potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_000489
Description

The Lennard-Jones potential is the mathematical function most commonly used in force fields to model the van der Waals part of the non-bonded interaction. It consists of a strong repulsive term (proportional to 1/r^12) that represents Pauli repulsion at short distances and a weaker attractive term (proportional to 1/r^6) that represents dispersion forces. For experts, the two parameters of the Lennard-Jones potential, epsilon and sigma, define the size and interaction strength for each atom type. (UNVERIFIED)

Sub Class Of non-bonded potential c

middle thermostat scheme c

IRI http://purl.obolibrary.org/obo/MOLSIM_001735
Description

A middle thermostat scheme is a specific way of applying temperature control within the numerical algorithm that advances a simulation through time. In this approach, the thermostat is applied at the midpoint of the integration time step, which can improve the stability and accuracy of the simulation. This is a technical detail in the implementation of some advanced simulation integrators designed to ensure robust and accurate temperature regulation. (UNVERIFIED)

Sub Class Of thermostat algorithm c

orientational entropy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001330
Description

A component of entropy that arises from the rotational motion of molecules. It quantifies the disorder associated with the possible orientations a molecule can adopt in space. The orientational entropy is a key component of the total entropy of a system. This value is often reported as dTSorient in quasi-harmonic analysis outputs. (UNVERIFIED)

Sub Class Of entropy c

modeling method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000305
Description

A modeling method is a computational technique used to build a simplified representation or predict the structure of a molecule. As a type of computational method, it typically involves predicting a static structure or interaction pose without simulating its dynamic behavior over time, such as in protein-ligand docking. These methods often employ search algorithms and scoring functions to evaluate and rank potential conformations based on criteria like shape complementarity and interaction energy. Common terms found in software and publications include "molecular docking," "homology modeling," "scoring function," and "binding pose prediction." (UNVERIFIED)

Sub Class Of computational method c
Super Class Of

cc-pVQZ-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000531
Description

The cc-pVQZ-RI basis set serves as the optimized auxiliary basis for performing Resolution of Identity (RI) or Density Fitting (DF) calculations when the primary orbital basis set is cc-pVQZ. It enables the computational savings associated with RI/DF techniques while maintaining consistency with the high accuracy level of the cc-pVQZ orbital basis. (UNVERIFIED)

Sub Class Of split-valence c

non-bonded cutoff distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001187
Description

A non-bonded interaction parameter that specifies the distance beyond which direct van der Waals and electrostatic interactions are not calculated. Using a non-bonded cutoff distance is the primary way to reduce the computational cost of a simulation. Its value must be chosen carefully to balance accuracy and speed. This is often set with the keyword cut or rvdw. (UNVERIFIED)

Sub Class Of non-bonded interaction parameter c
Restriction

3D-mapping analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000427
Description

This is a computational method that creates a 3D map showing which regions around a molecule are important for its biological function. Spatial properties by activity mapping refers to a class of techniques, such as 3D-QSAR, that correlate the measured biological activity of a set of compounds with their 3D structural and physicochemical properties, like shape or electrostatic fields. The resulting 3D map highlights the specific spatial regions where bulky groups, positive charges, or hydrogen bond donors, for example, increase or decrease activity, providing a powerful visual guide for designing more potent molecules. (UNVERIFIED)

Sub Class Of solvent analysis c

surface tension c

IRI http://purl.obolibrary.org/obo/MOLSIM_001217
Description

A system setup parameter used in some constant pressure simulations that specifies the target surface tension of the system. This is relevant for simulations of interfaces, such as lipid bilayers or liquid-vapor interfaces. The surface tension parameter allows the barostat to correctly handle anisotropic systems. This is often set with the keyword gamma_ten. (UNVERIFIED)

Sub Class Of system setup parameter c

chain ID c

IRI http://purl.obolibrary.org/obo/MOLSIM_001047
Description
  • An identifier used in PDB files to distinguish different polymer chains.

  • A chain ID is a letter used to label different polymer molecules, like different protein chains, in a structure file. As a type of identifier, the chain ID is a character, typically a letter, used in macromolecular structure formats like PDB or mmCIF to distinguish between different polymer chains within the same entry. It is an essential part of the atom selection syntax in analysis tools, allowing for the specific targeting of molecules in a complex, for example, :1-150@CA selects C-alpha atoms from the first chain by default. This is referred to in PDB files as "chainID" and used in selection masks in tools like VMD or cpptraj, often implicitly or with a colon prefix. (UNVERIFIED)

Sub Class Of identifier c

isotropic periodic sum method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000390
Description

A general term for a method that calculates the long-range forces in a simulation with periodic boundary conditions, assuming the system is uniform in all directions. It involves summing up the interactions between a particle and all of its periodic images in a way that correctly accounts for the infinite, repeating nature of the simulated system. Standard algorithms like the Ewald sum or Particle Mesh Ewald (PME) are specific implementations of this principle, which is essential for accurately modeling the electrostatics of a bulk liquid. (UNVERIFIED)

Sub Class Of electrostatic interaction algorithm c

MDAnalysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001918
Description

MDAnalysis is an open-source Python library used for the analysis of molecular dynamics simulation trajectories. It provides a flexible and object-oriented framework that allows users to read, write, and manipulate atomic coordinate data from a wide variety of simulation packages. For researchers, MDAnalysis is a powerful tool for writing custom, complex, and reproducible analysis scripts in a familiar Python environment. (UNVERIFIED)

Sub Class Of

rst7 format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001050
Description

A text-based file format from the Amber software that saves the state of a simulation. It is the ASCII version of the Amber restart file, containing coordinates, velocities, and box information in a human-readable format. This format is often used for its portability and ease of inspection. (UNVERIFIED)

Sub Class Of AMBER restart format c

electronic property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001375
Description

A type of output data descriptor that describes the distribution and behavior of electrons in a molecule, as determined by a quantum mechanical calculation. These properties govern a molecule's chemical reactivity, spectroscopic signatures, and electrostatic interactions. They are the primary results obtained from quantum chemistry software like Gaussian, VASP, or Q-Chem. These are often found under headings like "Electronic Properties" in output files. (UNVERIFIED)

Sub Class Of computed observable c
Super Class Of

AMBER mdin format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000469
Description

A text-based format containing control parameters for the Amber sander and pmemd programs, organized in Fortran namelists. It specifies simulation conditions like timestep, duration, and temperature/pressure coupling algorithms. This format dictates how the molecular dynamics simulation is performed. (UNVERIFIED)

Sub Class Of simulation parameter format c

multidimensional replica-exchange molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000423
Description

Multidimensional replica-exchange molecular dynamics is an extension of the REMD method where exchanges are performed along more than one variable simultaneously. For example, parallel simulations could be run at different temperatures and different pH values, with swaps attempted in both the temperature and pH dimensions. For experts, this powerful method allows for the efficient sampling of a system's response to multiple thermodynamic variables at once. (UNVERIFIED)

Sub Class Of replica-exchange molecular dynamics c

amber fb15 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001530
Description

Amber fb15 is a specific "recipe" or force field used in computer simulations to model the behavior of proteins with improved accuracy for certain structural features. The AMBER ff15 (force-balanced 15) protein force field is a refinement that rebalances the dihedral angle potentials to better reproduce the conformational ensembles of both folded and disordered proteins. This force field is particularly useful for studying intrinsically disordered proteins or for simulations where capturing the subtle balance between different secondary structures is critical. (UNVERIFIED)

Sub Class Of protein force field c

SG1 integration grid c

IRI http://purl.obolibrary.org/obo/MOLSIM_001465
Description

The SG1 integration grid is a specific "recipe" for creating a grid of points for quantum chemistry calculations, designed to be a good default option. It is a "Standard Grid" developed for the GAMESS program, providing a pruned grid with a specific number of radial and angular points that offers a good balance between computational cost and accuracy for many routine DFT calculations. While many grid options exist, SG1 represents a well-tested, medium-sized grid that serves as a reliable choice for general-purpose calculations. (UNVERIFIED)

Sub Class Of integration grid c

overlap metrics analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000139
Description

Overlap metrics, when used as a validation technique (e.g., in umbrella sampling or replica exchange), assess whether sufficient sampling overlap exists between adjacent simulation windows or thermodynamic states. Adequate overlap is a prerequisite for reliably combining data across windows using methods like WHAM or MBAR to calculate free energy profiles or differences. Poor overlap indicates insufficient sampling and potentially unreliable results, invalidating the analysis. (UNVERIFIED)

Sub Class Of convergence and uncertainty quantification analysis c

match analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001684
Description

A match analysis tool is a program that compares two or more molecular structures or datasets to find and quantify their similarities. This can involve superimposing two protein structures to calculate their RMSD or searching a database of small molecules to find ones that have a similar shape or chemical features to a query compound. These tools are fundamental for comparing simulation results to experimental structures or for virtual screening in drug discovery. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of

trajectory post-processing c

IRI http://purl.obolibrary.org/obo/MOLSIM_001767
Description

Trajectory post-processing is the general process of cleaning and preparing raw simulation trajectory files before performing detailed scientific analysis. This typically involves essential steps like removing the overall rotation and translation of the molecule to keep it centered, and fixing any molecules that appear "broken" by the periodic boundary conditions. These routine procedures are necessary to create a clean trajectory that is suitable for correct visualization and accurate calculation of structural properties. (UNVERIFIED)

Sub Class Of analysis c

hybrid complex system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001894
Description

A hybrid complex system is a type of complex system composed of macromolecules from different biological classes. This most commonly refers to a complex formed between a protein and a nucleic acid, such as a transcription factor bound to DNA. Simulating these systems is essential for understanding many fundamental biological processes like gene regulation and DNA repair. (UNVERIFIED)

Sub Class Of complex system c

DNA-bendability c

IRI http://purl.obolibrary.org/obo/MOLSIM_001877
Description

DNA-bendability is a measure of how easily a DNA double helix can be bent or curved away from a straight line. This property is not uniform but depends on the specific sequence of A, T, C, and G bases, with some sequences being inherently more flexible than others. This sequence-dependent flexibility is crucial for how DNA is packaged into chromosomes and how proteins recognize and bind to their specific target sites. (UNVERIFIED)

Sub Class Of kinetic property c

targeted MD RMSD target c

IRI http://purl.obolibrary.org/obo/MOLSIM_001239
Description

A targeted MD parameter that specifies the target root-mean-square deviation (RMSD) value for the restraint. The simulation is guided to reduce the RMSD of the current structure relative to a reference structure to this targeted MD RMSD target value. This is a key parameter for defining the endpoint of the TMD simulation. This is often set with the keyword tgtrmsd. (UNVERIFIED)

Sub Class Of targeted MD parameter c

infrared spectra c

IRI http://purl.obolibrary.org/obo/MOLSIM_001010
Description

Infrared (IR) spectra are obtained by measuring the amount of infrared light absorbed by a sample across a range of frequencies. Absorption peaks occur at frequencies matching the molecule's natural vibrational energies, corresponding to motions like bond stretching and bending. IR spectroscopy is highly effective for identifying specific functional groups present in a molecule. (UNVERIFIED)

Sub Class Of vibrational spectroscopy c

realizable entity c

IRI http://purl.obolibrary.org/obo/BFO_0000017
Description

A specifically dependent continuant that inheres in continuant entities and are not exhibited in full at every time in which it inheres in an entity or group of entities. The exhibition or actualization of a realizable entity is a particular manifestation, functioning or process that occurs under certain circumstances.

Sub Class Of specifically dependent continuant c
In Domain Of realized in op
In Range Of realizes op
Super Class Of

RNA-RNA system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001898
Description

An RNA-RNA system is a specific type of nucleic acid complex system composed of two or more interacting RNA strands. This includes RNA duplexes, which are common in viral genomes and regulatory RNAs, as well as the vast and complex RNA assemblies that form the ribosome. For experts, simulating these systems is critical for understanding the structural basis of RNA function and catalysis. (UNVERIFIED)

Sub Class Of nucleic acid complex system c

GBNSR6 implicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001520
Description

The GBNSR6 implicit solvent model is a specific Generalized Born (GB) model designed for high performance and accuracy in molecular dynamics simulations. It uses a fast analytical approximation for calculating the effective Born radii based on a pairwise descreening approach with a 1/r^6 dependence. For experts, GBNSR6 offers a computationally efficient yet reasonably accurate option for implicit solvent simulations, particularly for studying protein folding and dynamics. (UNVERIFIED)

Sub Class Of generalized Born implicit solvent model c

SAM1 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000823
Description

Semi-Ab initio Model 1, an all-valence-electron semi-empirical quantum method based on the NDDO approximation, developed alongside AM1 and PM3. It aimed to incorporate certain theoretical aspects from ab initio methods more rigorously than earlier semi-empirical models, particularly regarding core-electron interactions and repulsion integrals. SAM1 sought improved theoretical foundations while still relying on parameterization for speed and accuracy (UNVERIFIED).

Sub Class Of all-valence-electron restricted c

optical rotations c

IRI http://purl.obolibrary.org/obo/MOLSIM_001024
Description

Optical rotation is the phenomenon where the plane of linearly polarized light is rotated upon passing through a sample containing chiral molecules; it's a manifestation of optical activity. This effect arises because chiral molecules interact differently with the left- and right-circularly polarized components of plane-polarized light (circular birefringence). Measuring this rotation provides a fundamental characterization of molecular chirality and is used for analysis of chiral compounds. (UNVERIFIED)

Sub Class Of specialized techniques c

information carrier c

IRI http://purl.obolibrary.org/obo/IAO_0000015
Description

A quality of an information bearer that imparts the information content

Sub Class Of quality c
Equivalentclass quality c and concretizes op some
Restriction concretizes op some

virtual site c

IRI http://purl.obolibrary.org/obo/MOLSIM_001471
Description

A virtual site, also known as an extra point, is a massless, chargeless, or charged point in a force field that does not correspond to an atomic nucleus. These sites are used to create a more accurate representation of a molecule's charge distribution, such as modeling the lone pairs on a water molecule or the pi-electrons of an aromatic ring. For experts, using virtual sites is an advanced technique to improve the description of anisotropic electrostatic interactions. (UNVERIFIED)

Sub Class Of force field component c

improper torsion potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_000431
Description

An improper torsion potential is a force field component used to maintain the planarity or chirality of a group of four atoms. Unlike a standard dihedral potential that describes rotation around a central bond, an improper torsion is defined to keep one central atom in a specific geometric relationship to three other atoms bonded to it. For experts, improper torsions are essential for keeping aromatic rings flat and for maintaining the correct stereochemistry at chiral centers. (UNVERIFIED)

Sub Class Of force field component c
Super Class Of harmonic improper torsion potential c

DIIS matrices c

IRI http://purl.obolibrary.org/obo/MOLSIM_001258
Description

A DIIS parameter that specifies the number of error vectors (matrices) to be used by the DIIS convergence algorithm. This parameter defines the size of the subspace used for the extrapolation. The DIIS matrices is a key parameter for tuning the DIIS algorithm. This is often set with the keyword ndiis_matrices. (UNVERIFIED)

Sub Class Of DIIS parameter c

DNA-DNA system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001896
Description

A DNA-DNA system is a specific type of nucleic acid complex system composed of two or more interacting strands of DNA. The most common example is the simulation of a DNA double helix to study its sequence-dependent structure and dynamics. For experts, these systems are also used to study more complex assemblies like DNA quadruplexes or Holliday junctions. (UNVERIFIED)

Sub Class Of nucleic acid complex system c

ndfes c

IRI http://purl.obolibrary.org/obo/MOLSIM_001572
Description

ndfes is a software package designed for the calculation and analysis of N-dimensional free energy surfaces from molecular simulation data. It includes a collection of scripts for analyzing enhanced sampling simulations, such as those using umbrella sampling or metadynamics. This toolkit allows researchers to reconstruct and visualize complex free energy landscapes defined by multiple collective variables. (UNVERIFIED)

Sub Class Of free energy surface analysis tool c

frcmod format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001079
Description

An Amber-specific format used to provide or modify force field parameters for a simulation. It allows users to introduce new parameters or override existing ones without altering the main force field files. This format is essential for simulating systems with non-standard molecules or custom parameters. (UNVERIFIED)

Sub Class Of force field parameter format c

quadratic configuration interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000838
Description

A quantum chemistry method developed to account for electron correlation, closely related to the Coupled Cluster (CC) family of methods. It was designed to ensure size-consistency, an important theoretical property meaning the energy of two non-interacting systems is the sum of their individual energies, which is not guaranteed by standard truncated Configuration Interaction (CI). It offers a systematic way to improve upon the Hartree-Fock description (UNVERIFIED).

Sub Class Of quantum mechanics c
Super Class Of

DBSCAN clustering algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001707
Description

DBSCAN is a clustering algorithm that groups together molecular structures from a simulation that are closely packed together in conformational space. It operates based on density, identifying core samples in high-density regions and expanding clusters from them, which allows it to find arbitrarily shaped clusters and identify outliers that do not belong to any cluster. This method is particularly useful because it does not require the number of clusters to be specified in advance, making it well-suited for exploring complex conformational landscapes with unknown states. (UNVERIFIED)

Sub Class Of clustering algorithm c

single point energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000604
Description

An energy analysis calculation that determines the potential energy of a molecular system for a single, fixed geometric arrangement of its atoms (a specific 'snapshot' or structure), without performing geometry optimization or simulating dynamics. This provides the energy value for that particular conformation according to the chosen theoretical method (e.g., force field or quantum mechanical level). It's often used to compare the relative energies of different pre-defined structures. (UNVERIFIED)

Sub Class Of energy analysis c

X-PLOR c

IRI http://purl.obolibrary.org/obo/MOLSIM_000793
Description

A software package primarily used for macromolecular structure determination based on experimental data, particularly X-ray crystallography and NMR spectroscopy data. It incorporates molecular mechanics (energy terms from force fields), molecular dynamics (often used for refinement or simulated annealing protocols), and terms representing the experimental restraints to refine structures consistent with both physics and experimental observations. While it uses MD concepts, its primary goal is structure determination rather than simulating equilibrium dynamics. (UNVERIFIED)

Sub Class Of software suite c

computing system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001862
Description

A computing system is the complete set of hardware that works together to run a simulation, ranging from a single computer to a massive cluster. This term describes the overall environment where the computational job was executed, such as a personal workstation, a university supercomputer, or a cloud-based platform. Specifying the type of computing system provides essential context on the scale of the simulation and the resources required to perform it. (UNVERIFIED)

Sub Class Of hardware c
Super Class Of

accelerated MD parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001228
Description

A type of enhanced sampling parameter that controls an accelerated molecular dynamics (aMD) simulation. These parameters define the energy threshold and strength of the boost potential that is applied to flatten the energy landscape. The accelerated MD parameter settings are crucial for controlling the degree of enhanced sampling. These are often set in a specific amd section of the input file. (UNVERIFIED)

Sub Class Of enhanced sampling parameter c
Super Class Of

QCISD c

IRI http://purl.obolibrary.org/obo/MOLSIM_000840
Description

Quadratic Configuration Interaction with Singles and Doubles, the specific level of QCI theory that includes electron configurations generated by single and double excitations from the reference (usually Hartree-Fock) configuration. Its formulation makes it very similar in performance and cost to the CCSD (Coupled Cluster Singles and Doubles) method. It provides a reliable way to capture a large fraction of the electron correlation energy (UNVERIFIED).

Sub Class Of quadratic configuration interaction c

job control format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001097
Description

The job control format is the main input file for the paramfit program in AmberTools, which is used to derive new force field parameters. This file contains keywords and settings that direct the entire parameter fitting procedure, specifying the target data and the parameters to be optimized. It acts as the master control script for the complex process of fitting parameters to quantum mechanical or experimental data. (UNVERIFIED)

Sub Class Of simulation input format c

isotropic position scaling barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000338
Description

An isotropic position scaling barostat is a pressure control algorithm that maintains a constant pressure by uniformly scaling all three dimensions of the simulation box. This means the shape of the box is preserved, and it only expands or contracts equally in all directions. For experts, this method is appropriate for simulating systems in a liquid phase where pressure is expected to be the same in all directions. (UNVERIFIED)

Sub Class Of barostat algorithm c

dihedral angle c

IRI http://purl.obolibrary.org/obo/MOLSIM_001340
Description

A type of structural property representing the torsion angle defined by four sequentially bonded atoms, which describes the rotation around the central bond. The dihedral angle is the most important descriptor for characterizing the overall conformation of a flexible molecule. Its value is a primary output of many structural analysis tools. This value is commonly referred to as dihedral or torsion. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of

relative binding free energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001316
Description

A type of free energy that represents the difference in binding affinity between two different ligands binding to the same receptor. It is calculated using alchemical free energy methods to predict how a chemical modification will change a ligand's potency. The relative binding free energy is a key result for lead optimization in drug design. This value is often reported as DELTA DELTA G or ddG. (UNVERIFIED)

Sub Class Of free energy property c

amber ff99SB c

IRI http://purl.obolibrary.org/obo/MOLSIM_000749
Description

A highly popular and widely used refinement of the AMBER ff99 protein force field, where 'SB' indicates improvements primarily focused on side-chain (S) and backbone (B) dihedral torsion potentials. It corrected some imbalances in secondary structure preference found in ff99. ff99SB served as a robust baseline before the development of ff14SB. (UNVERIFIED)

Sub Class Of protein force field c

genremdinputs.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001622
Description

The genremdinputs.py script is a utility used to automatically generate the large number of input files required for a Replica Exchange Molecular Dynamics (REMD) simulation. It takes a template input file and a list of temperatures to create a separate set of input files for each simulation replica. For researchers setting up REMD simulations, this script automates a tedious and repetitive file preparation task. (UNVERIFIED)

Sub Class Of utility script c

electron microscopy map restraint method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000365
Description

An electron microscopy map restraint method is a simulation technique where the simulation is guided by a three-dimensional density map obtained from an electron microscopy experiment. An additional energy term is added that penalizes conformations where the simulated atoms do not fit well into the experimental density. For structural biologists, this method is a powerful tool for refining low-resolution experimental structures into high-resolution, physically realistic atomic models. (UNVERIFIED)

Sub Class Of restrained simulation method c

QM/MM simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000388
Description

A QM/MM simulation is a multiscale simulation method that combines a high-accuracy Quantum Mechanics (QM) description for a small, chemically active region with a fast, classical Molecular Mechanics (MM) force field for the large surrounding environment. This hybrid approach allows for the simulation of processes like chemical reactions in the context of a complex biological system, such as an enzyme active site. For experts, QM/MM is the state-of-the-art method for studying bond-breaking and bond-forming events in biomolecules. (UNVERIFIED)

Sub Class Of simulation method c
Super Class Of

protein-ligand system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001893
Description

A protein-ligand system is the most common type of ligand complex system, consisting of a protein receptor interacting with a small molecule ligand. These simulations are the cornerstone of modern structure-based drug design, used to understand binding mechanisms, predict binding affinities, and guide the optimization of drug candidates. For experts, the accurate simulation of protein-ligand systems is a primary goal of the computational chemistry field. (UNVERIFIED)

Sub Class Of ligand complex system c

excess chemical potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001325
Description

A type of thermodynamic property representing the free energy change of adding one particle to a system at constant volume and temperature. It is a direct measure of solvation free energy and is the primary output of methods like 3D-RISM. The calculated Excess Chemical Potential, often denoted µex or --exchem, is a key indicator of a molecule's solubility. This term is often found in the output of 3D-RISM calculations. (UNVERIFIED)

Sub Class Of free energy property c

TIP3P c

IRI http://purl.obolibrary.org/obo/MOLSIM_000022
Description

TIP3P is one of the most common and computationally efficient computer models used to represent water molecules in a simulation. The Transferable Intermolecular Potential 3-Point (TIP3P) model is a rigid, three-site water model that places partial charges on the oxygen and two hydrogen atoms, defining their interactions with a Lennard-Jones potential on the oxygen. Its simplicity and low computational cost have made it a standard choice for solvating biomolecules in many classical force fields, such as AMBER and CHARMM. (UNVERIFIED)

Sub Class Of water model force field c

meter per second based unit c

IRI http://purl.obolibrary.org/obo/UO_1000094
Sub Class Of speed/velocity unit c
Super Class Of meter per second c

nucleic acid analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001960
Description

A nucleic acid analysis tool is a specialized software program designed to characterize the geometry and topology of DNA and RNA structures. It calculates parameters such as base-pair step geometry (roll, tilt, twist), groove dimensions, and sugar pucker to describe the helical conformation. For experts, these tools are essential for quantifying the structural deformations of nucleic acids observed in simulations. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of

MM-GBSA analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000953
Description

A computational method for estimating binding free energies, similar to MM-PBSA, that also combines molecular mechanics (MM) energies with continuum solvation and surface area (SA) terms. However, it uses the Generalized Born (GB) model, an approximation to the Poisson-Boltzmann equation, to calculate the electrostatic solvation energy. The GB model is generally computationally faster than PB, making MM-GBSA efficient for large-scale calculations like virtual screening, though potentially less accurate in some cases. (UNVERIFIED)

Sub Class Of effective energy analysis c

encounter complex c

IRI http://purl.obolibrary.org/obo/MOLSIM_000103
Description

A transient state occurring early in the binding process where the ligand and receptor molecules first come into close proximity and make non-specific contacts, largely driven by diffusion, before potentially rearranging into a specific, stable bound state. The encounter complex represents a collection of loosely associated configurations, often characterized by significant residual motion and non-optimal interactions, preceding the formation of the final bound pose. Studying these initial encounters can be important for understanding binding kinetics. (UNVERIFIED)

Sub Class Of ligand state c

mean absolute error analyisis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000130
Description

Mean Absolute Error (MAE) is an error metric that measures the average magnitude of the absolute differences between predicted values and observed values. Unlike RMSE, it does not square the errors, meaning large errors are not penalized disproportionately, and the result is directly interpretable in the original units. It provides a measure of the average absolute deviation of predictions from reality. (UNVERIFIED)

Sub Class Of error metrics analysis c

spectroscopic database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000701
Description

A primary database that archives experimental data obtained from various spectroscopic techniques, such as Nuclear Magnetic Resonance (NMR), mass spectrometry, or infrared spectroscopy, applied to biological molecules. These databases allow for the reanalysis of raw or processed spectral data and aid in structural and functional characterization. The Biological Magnetic Resonance Data Bank (BMRB) is an example for NMR data. (UNVERIFIED)

Sub Class Of primary database c
Super Class Of NMR data repository c

aqueous environment c

IRI http://purl.obolibrary.org/obo/MOLSIM_002070
Description

An aqueous environment is a specific type of solvated environment where the primary or exclusive liquid medium is water. This mimics the natural biological context for the vast majority of soluble proteins, nucleic acids, and cellular metabolites. For biomolecular simulation experts, setting up an accurate aqueous environment—often including specific concentrations of neutralizing or buffer ions—is the standard starting point for realistically modeling physiological conditions. (UNVERIFIED)

Sub Class Of solvated environment c

Abalone c

IRI http://purl.obolibrary.org/obo/MOLSIM_000774
Description

A molecular dynamics engine is the specific executable program responsible for numerically integrating the equations of motion to simulate atomic movements over time. It performs the computationally intensive task of calculating forces and updating atomic positions at every time step to generate a trajectory. For experts, this term distinguishes the core computational solver, such as pmemd or namd2, from the overarching software suite that includes tools for setup and analysis. (UNVERIFIED)

Sub Class Of software suite c

TIP6P c

IRI http://purl.obolibrary.org/obo/MOLSIM_000768
Description

A 'Transferable Intermolecular Potential' 6-point water model, which includes charges on all three atoms, two lone-pair sites, and potentially another site. This model is less common than 3, 4, or 5-point models; its additional complexity aims to capture subtle electrostatic or structural features but comes with significantly increased computational cost. Specific parameterizations might target particular properties or phases of water. (UNVERIFIED)

Sub Class Of water model force field c

3-10 helix c

IRI http://purl.obolibrary.org/obo/MOLSIM_001786
Description

The 3-10 helix is a type of spiral shape found in proteins that is tighter and more narrow than the common alpha-helix. It is a secondary structure motif characterized by a repeating hydrogen bond between the backbone carbonyl of a residue and the backbone amide of the residue three positions down the chain (i → i+3). While less common than the alpha-helix, short segments of 3-10 helix are often found at the ends of alpha-helices, acting as a cap to the structure. (UNVERIFIED)

Sub Class Of helix c

STO-3G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000214
Description

STO-3G basis sets are minimal basis sets where each Slater-Type Orbital (STO), which closely resembles atomic orbitals, is approximated by a fixed contraction of 3 Gaussian-Type Orbitals (GTOs). Using GTOs significantly speeds up the calculation of electron repulsion integrals compared to using STOs directly. STO-3G was historically very common but offers limited accuracy. (UNVERIFIED)

Sub Class Of minimal c

file conversion tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000166
Description

A specific type of data processing tool dedicated to converting molecular structure, trajectory, or data files from one format to another (e.g., PDB to MOL2, GROMACS trajectory to AMBER format). File format compatibility is a common issue when using different software packages, making these tools essential for interoperability within a simulation workflow. Many simulation packages include their own conversion utilities, or general tools like Open Babel can be used. (UNVERIFIED)

Sub Class Of data processing tool c
Super Class Of Open Babel c

MP3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000829
Description

MP3 represents third-order Møller-Plesset perturbation theory, calculating the energy correction up to the third order based on the Hartree-Fock reference. While it includes higher-order correlation effects compared to MP2, MP3 does not always offer a systematic improvement in accuracy over MP2 and can sometimes yield worse results. Consequently, it is less commonly used in computational chemistry applications compared to MP2 or MP4. (UNVERIFIED)

Sub Class Of Moeller-Plesset c

vibration-rotation coupling c

IRI http://purl.obolibrary.org/obo/MOLSIM_001021
Description

Vibration-rotation coupling describes the interaction between a molecule's vibrational and rotational motions, indicating they are not entirely independent. For instance, the average bond lengths change slightly with vibrational state, altering the moments of inertia and thus the rotational energy levels. This coupling results in characteristic fine structure in high-resolution gas-phase spectra, refining our understanding of molecular structure and potential energy surfaces. (UNVERIFIED)

Sub Class Of rotational spectroscopy c

update_amber c

IRI http://purl.obolibrary.org/obo/MOLSIM_001590
Description

The update_amber script is a utility provided with the AmberTools software suite to apply official updates and bug fixes to an existing installation. Running this script connects to the Amber update server, downloads any available patches, and applies them to the local source code. For AMBER users, this is the standard procedure for keeping their software installation current and ensuring they have the latest bug fixes. (UNVERIFIED)

Sub Class Of utility script c

continuant c

IRI http://purl.obolibrary.org/obo/BFO_0000002
Description

An entity that exists in full at any time in which it exists at all, persists through time while maintaining its identity and has no temporal parts.

Sub Class Of entity c
In Domain Of participates in op
In Range Of has participant op
Super Class Of

MOE c

IRI http://purl.obolibrary.org/obo/MOLSIM_001063
Description

The Molecular Operating Environment (MOE) is a comprehensive, commercial software system for drug discovery, molecular modeling, and computational chemistry developed by the Chemical Computing Group. It integrates visualization with a vast array of tools for structure preparation, docking, pharmacophore modeling, and molecular dynamics setup within a single unified interface. (UNVERIFIED)

Sub Class Of

TIP3PFW c

IRI http://purl.obolibrary.org/obo/MOLSIM_001064
Description
  • A flexible three-site water model.

  • TIP3PFW is a computer model for water molecules that allows them to bend and stretch, making it more flexible. As a type of water model force field, TIP3PFW is a flexible three-site water model designed to be compatible with fixed-charge biomolecular force fields. Unlike rigid models like standard TIP3P, it uses harmonic potentials for the O-H bonds and H-O-H angle, which can improve the description of vibrational spectra and certain dynamic properties. This model is referred to in publications and input files as "TIP3P-Fw," "flexible TIP3P," or by its specific force field file name. (UNVERIFIED)

Sub Class Of water model force field c

reservoir cluster info file format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001101
Description

A file format that provides settings for a specialized type of simulation designed to enhance the sampling of molecular motions. It specifies dihedral angle definitions that are used for applying a non-Boltzmann reservoir weighting in enhanced sampling simulations. This format is used as input for advanced simulation techniques that target specific conformational changes. (UNVERIFIED)

Sub Class Of simulation input format c

small molecule structural database c

IRI http://purl.obolibrary.org/obo/MOLSIM_001522
Description

A small molecule structural database is a digital archive focused on the 2D and 3D structures of small organic compounds, such as drugs and metabolites. These databases contain information like atomic coordinates, chemical connectivity, and calculated properties for millions of different molecules. They are essential resources for drug discovery, cheminformatics, and for finding starting structures for simulation. (UNVERIFIED)

Sub Class Of structural database c

statistical analysis parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001272
Description

A type of analysis parameter that controls a statistical analysis performed on simulation data. These parameters define the significance levels, number of trials, and other settings for statistical tests and resampling methods. The statistical analysis parameter settings are crucial for assessing the reliability and significance of the simulation results. These are often set as options in a statistical software package. (UNVERIFIED)

Sub Class Of analysis parameter c
Super Class Of

amber AMOEBA c

IRI http://purl.obolibrary.org/obo/MOLSIM_000740
Description

Ion parameters specifically designed for use with the AMOEBA (Atomic Multipole Optimized Energetics for Biomolecular Applications) polarizable force field within the AMBER simulation suite. Unlike fixed-charge models, AMOEBA uses atomic multipoles (charges, dipoles, quadrupoles) and induced dipoles to describe electrostatics more accurately. The corresponding ion parameters are developed to be consistent with this advanced electrostatic treatment, aiming for higher fidelity, especially for ion-water and ion-biomolecule interactions. (UNVERIFIED)

Sub Class Of ion force field c

LEaP preparation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001773
Description

LEaP preparation is the process of using the LEaP program from the AmberTools software suite to build a complete molecular system that is ready for simulation. This involves loading a molecular structure file, applying a specific force field to assign parameters, adding a box of solvent molecules, and introducing ions to neutralize the system's charge. This step is the standard and essential procedure for assembling all the necessary components into the final topology and coordinate files needed to run an AMBER simulation. (UNVERIFIED)

Sub Class Of preparation c

charge distribution descriptor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001388
Description

A type of electronic property that quantifies the net electric charge within a specific, user-defined region of a molecular system. This is often used in QM/MM calculations to monitor the charge of different parts of the system. It provides a way to analyze the charge distribution beyond individual atomic charges. This is often reported as Core Region Charge or Buffer Region Charge. (UNVERIFIED)

Sub Class Of electronic property c
Super Class Of

gaussian mixture model algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_010013
Description

The Gaussian mixture model (GMM) algorithm is a probabilistic statistical method that represents a complex data distribution as a weighted sum of multiple simple Gaussian components. It assumes that the data points are generated from a mixture of a finite number of Gaussian distributions with unknown parameters, which are optimized to fit the data. In biomolecular simulation, this algorithm is frequently used for clustering conformational states or analyzing free energy landscapes by decomposing complex probability densities into distinct populations. (UNVERIFIED)

Sub Class Of statistical algorithm c

TURBOMOLE coordinate format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000897
Description

In TURBOMOLE, coordinate information is typically provided within a specific data group, usually $coord, inside the main input or control file. This section lists the Cartesian coordinates (in Bohr by default, or Angstroms if specified) followed by an atom symbol (elemental symbol, usually lowercase) for each atom. This data group defines the molecular geometry for the TURBOMOLE calculation. (UNVERIFIED)

Sub Class Of molecular structure format c

target pressure c

IRI http://purl.obolibrary.org/obo/MOLSIM_001181
Description

A pressure control parameter that specifies the desired pressure for the simulation. The barostat algorithm will adjust the volume of the simulation box to keep the average pressure fluctuating around this target pressure. This is a fundamental parameter for any constant pressure simulation and is often set with the keyword pres0. (UNVERIFIED)

Sub Class Of pressure control parameter c

binding free energy calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000261
Description

Binding free energy encompasses computational techniques specifically designed to estimate the Gibbs free energy change (ΔG bind) associated with the non-covalent binding of two molecules, typically a protein and a ligand. Calculating binding free energy is crucial for predicting molecular interactions, understanding binding affinity in drug design, and validating docking poses. These methods range from approximate endpoint methods to more rigorous alchemical transformations. (UNVERIFIED)

Sub Class Of free energy calculation analysis c
Super Class Of

Swiss PDB viewer c

IRI http://purl.obolibrary.org/obo/MOLSIM_000492
Description

Now known as DeepView, Swiss-PdbViewer is a free, popular molecular visualization and analysis software application. It excels at viewing and analyzing protein structures from the PDB, allowing users to measure distances/angles, superimpose structures, evaluate structural quality, build loops, mutate residues, and perform basic energy minimization using the GROMOS force field. It is often used for initial structure inspection and preparation before more extensive simulations. (UNVERIFIED)

Sub Class Of

CHARMM 36 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000132
Description

A widely used all-atom force field parameter set from the CHARMM family, optimized for proteins, lipids, nucleic acids, and carbohydrates, released around 2010-2012. It represents a significant update over earlier CHARMM versions (like CHARMM22/27), incorporating improved parameters derived from high-level quantum calculations and experimental data. The 'm' variant (CHARMM36m) includes further refinements, particularly for proteins. (UNVERIFIED)

Sub Class Of protein force field c

charge transfer energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001798
Description

Charge transfer energy is the energy stabilization that occurs when a small amount of electron density moves from one molecule to another when they interact at close range. This is a quantum mechanical effect that is not captured by simple fixed-charge force fields but contributes to the strength of interactions like hydrogen bonds. Accurately modeling this energy component, often with polarizable force fields or QM/MM methods, is important for a highly accurate description of molecular binding. (UNVERIFIED)

Sub Class Of energy c

accelerated molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000395
Description

Accelerated molecular dynamics is a special type of simulation that helps molecules explore different shapes much faster than they normally would. It works by adding a "boost" to the system's energy, effectively lowering the energy barriers that separate different molecular conformations. For experts, aMD is an enhanced sampling method that adds a non-negative, history-independent bias potential when the system's potential energy is below a certain threshold, allowing for the recovery of canonical averages through energetic reweighting. (UNVERIFIED)

Sub Class Of molecular dynamics c

membrane dielectric constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001279
Description

An MM-PBSA/GBSA parameter that specifies the dielectric constant of the implicit membrane region in a continuum solvent calculation. This is a key parameter for accurately modeling the electrostatic environment of a membrane protein. The membrane dielectric constant is typically set to a low value to represent the non-polar lipid core. This is often set with the keyword emem. (UNVERIFIED)

Sub Class Of MM-PBSA/GBSA parameter c

rkf format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000880
Description

ADF Tape41 (now more commonly the .rkf or ADF Results File) is a structured binary file generated by the Amsterdam Density Functional package. It stores a comprehensive set of calculation results, including basis set details, molecular orbital coefficients, electron densities, gradients, and potentially Hessians, in a key-value database format. This file is essential for advanced analysis, visualization, and restarting calculations. (UNVERIFIED)

Sub Class Of simulation state format c

edgembar-WriteGraphHtml.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001638
Description

A utility script from the edgembar software package that visualizes the results of a large-scale free energy calculation. It takes the calculated free energy differences between many different molecules and generates an interactive HTML file that displays the results as a network graph. This allows researchers to easily explore the relationships and predicted binding affinities for a whole series of compounds in a web browser. (UNVERIFIED)

Sub Class Of utility script c

prep (internal) format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001086
Description

This is a text file format used by the Amber software to define a new molecular building block using its internal geometry. Instead of 3D coordinates, it specifies the position of each atom by its bond length, bond angle, and dihedral angle relative to other atoms in the molecule. This Z-matrix representation is a powerful way to define a molecule's ideal geometry and is often used when building a new residue from scratch without a pre-existing 3D structure. (UNVERIFIED)

Sub Class Of molecular topology format c

thermostat algorithm parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001174
Description

A temperature control parameter that specifies which algorithm is used to regulate the system's temperature. Different thermostat algorithms, such as Berendsen, Nosé-Hoover, or Langevin, have different effects on the system's dynamics and statistical properties. The choice of thermostat algorithm parameter is a critical decision for both equilibration and production simulations. This is often set with the keyword ntt in AMBER or tcoupl in GROMACS. (UNVERIFIED)

Sub Class Of temperature control parameter c

Moeller-Plesset c

IRI http://purl.obolibrary.org/obo/MOLSIM_000827
Description

Møller-Plesset perturbation theory (MPn) is a widely used post-Hartree-Fock method for adding electron correlation effects to the Hartree-Fock (HF) solution. It treats the difference between the exact Hamiltonian and the HF Hamiltonian as a perturbation, calculating energy corrections order-by-order (MP2, MP3, MP4, etc.). MP2 is the most common level, offering a computationally efficient way to include dynamic electron correlation. (UNVERIFIED)

Sub Class Of quantum mechanics c
Super Class Of

restrained simulation method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000364
Description

A restrained simulation is a type of simulation where an additional, artificial energy potential is applied to guide the system's motion. These restraints can be used to force a molecule to adopt a certain conformation, to prevent it from moving too far, or to incorporate experimental data into the simulation. For experts, restraints are a powerful tool for targeted sampling, structure refinement, and calculating potentials of mean force. (UNVERIFIED)

Sub Class Of simulation method c
Super Class Of

potential energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001295
Description

A component of the system's energy that depends on the positions of the atoms, representing the stored energy in their interactions. It is calculated from the force field's potential energy function, which includes terms for bonds, angles, and non-bonded interactions. The average Potential Energy is a key indicator of the system's conformational state and its stability over the simulation trajectory. This value is commonly reported in simulation log files as Potential, EPOT, or E_p. (UNVERIFIED)

Sub Class Of energy c
Super Class Of total potential energy c

protein-ligand docking analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000474
Description

Protein-ligand docking is a computational method used to predict the preferred binding orientation (pose) and often estimate the binding affinity of a small molecule (ligand) within the active site or binding pocket of a protein (receptor). Docking algorithms typically explore many possible poses by translating and rotating the ligand relative to the receptor and use scoring functions to rank these poses based on predicted interaction energies. It is a widely used tool in structure-based drug design. (UNVERIFIED)

Sub Class Of static molecular interaction prediction modeling c

static molecular interaction prediction modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000255
Description

Static molecular interaction prediction refers to computational methods that aim to predict how molecules will interact (e.g., bind to each other) based primarily on their static structures, without explicitly simulating their dynamic behavior over time. These methods often involve optimizing the relative orientation of molecules and evaluating interaction energies using scoring functions or simplified energy calculations. Molecular docking is a primary example in this category. (UNVERIFIED)

Sub Class Of modeling method c
Super Class Of

SHAPE algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000798
Description

A constraint algorithm related to SHAKE, often used for fixing distances within rigid clusters of atoms larger than simple bonds or angles. It iteratively adjusts the positions of atoms within the defined rigid body to maintain their relative positions. It extends the concept of bond constraints to more complex rigid units (UNVERIFIED).

Sub Class Of constraint algorithm c

SHAKE algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000050
Description

An iterative constraint algorithm widely used in molecular dynamics to fix bond lengths. It adjusts the positions of atoms involved in a constraint at the end of a time step until the constraint condition (e.g., fixed bond distance) is satisfied within a defined tolerance. It handles coupled constraints involving multiple atoms connected together (UNVERIFIED).

Sub Class Of constraint algorithm c

AMBER-DYES force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001455
Description

The AMBER-DYES force field is a specialized parameter set developed to model common fluorescent dye molecules used in biophysical experiments. It is designed to be compatible with the standard AMBER protein and nucleic acid force fields. For researchers who use techniques like FRET, this force field allows them to build and simulate realistic models of their labeled biomolecules. (UNVERIFIED)

Sub Class Of organic molecule force field c

protein-protein docking analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000256
Description

Protein-protein docking is a computational method focused on predicting the three-dimensional structure of a complex formed when two or more proteins bind to each other. Given the structures of the individual proteins, docking algorithms search for energetically favorable relative orientations and conformations that form a stable complex, typically evaluated using scoring functions that consider shape complementarity, electrostatics, and other interfacial properties. Predicting protein complex structures is crucial for understanding biological pathways and designing therapeutics. (UNVERIFIED)

Sub Class Of static molecular interaction prediction modeling c

Molden format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000442
Description

The Molden format is a text-based file used to store detailed results from quantum chemistry calculations for visualization. It contains not only the 3D atomic coordinates but also the mathematical functions (basis sets) and coefficients that describe the molecule's electronic orbitals. This comprehensive structure makes it a versatile format for visualizing molecular orbitals, electron density, and vibrational modes in specialized analysis programs. (UNVERIFIED)

Sub Class Of quantum chemistry format c

pyMSMT c

IRI http://purl.obolibrary.org/obo/MOLSIM_001611
Description

The pyMSMT tool is a Python-based utility designed to assist in the parameterization of metal sites in biomolecules, particularly for simulations using a bonded model. It helps to set up and process the quantum mechanical calculations needed to derive the force constants for the bonds and angles involving the metal ion. This tool provides a workflow to simplify the complex process of developing accurate force field parameters for metalloproteins. (UNVERIFIED)

Sub Class Of parameter fitting tool c

action specification c

IRI http://purl.obolibrary.org/obo/IAO_0000007
Description

A directive information entity that describes an action the bearer will take.

Sub Class Of directive information entity c

topology and coordinate generation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000259
Description

A tool used in the preparation stage of a simulation to generate the molecular topology file (defining atom types, bonds, angles, dihedrals, charges, non-bonded parameters according to a force field) and initial coordinate file for the system to be simulated. These tools typically take structural information (like a PDB file) and force field definitions as input and assemble the complete system description required by the simulation engine. tleap in AmberTools is a classic example. (UNVERIFIED)

Sub Class Of system setup tool c
Super Class Of

LAPACK c

IRI http://purl.obolibrary.org/obo/MOLSIM_001679
Description

LAPACK, or the Linear Algebra Package, is a standard software library that provides routines for solving more advanced numerical linear algebra problems. It includes functions for solving systems of linear equations, finding eigenvalues and eigenvectors, and performing matrix factorizations. For computational chemistry and simulation analysis tools, LAPACK is an essential component for tasks like matrix diagonalization in Principal Component Analysis or solving equations in quantum mechanical calculations. (UNVERIFIED)

Sub Class Of library c

omni-path c

IRI http://purl.obolibrary.org/obo/MOLSIM_001949
Description

Omni-Path is a high-speed networking technology that was designed specifically to connect the nodes of a large supercomputer. The Intel Omni-Path Architecture provides the low-latency and high-bandwidth communication needed for large-scale parallel applications like molecular dynamics. It was developed as a competitor to InfiniBand and has been used as the network interconnect in many of the world's top supercomputing systems. (UNVERIFIED)

Sub Class Of network interconnect c

nuclear interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_000235
Description

The potential energy associated with the strong and weak nuclear forces, which operate only within the atomic nucleus at extremely short distances (on the order of femtometers, 10^−15 m). The strong force binds protons and neutrons together, overcoming electrostatic repulsion between protons, while the weak force is responsible for certain types of radioactive decay (beta decay). These forces and their associated energies are entirely irrelevant to the chemical bonding, conformational changes, and intermolecular interactions studied in typical biomolecular simulations, which focus on electron-level interactions, and are thus not included in force fields. (UNVERIFIED)

Sub Class Of interaction energy model c

trr trajectory format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001054
Description

A binary file format from the GROMACS software that stores the full-precision trajectory of a simulation. It saves the atomic coordinates, velocities, and forces at each time step without any loss of precision. This format is used when high accuracy is needed for analysis, such as for calculating kinetic properties. (UNVERIFIED)

Sub Class Of GROMACS trajectory format c

molecular dynamics engine c

IRI http://purl.obolibrary.org/obo/MOLSIM_000160
Description

Application programs specifically designed to perform molecular dynamics (MD) simulations, which calculate the motion of atoms and molecules over time based on classical mechanics and a chosen force field. These packages typically include capabilities for system preparation, simulation execution (often optimized for high-performance computing), and basic trajectory analysis. Examples include AMBER, GROMACS, NAMD, CHARMM, Desmond, and LAMMPS. (UNVERIFIED)

Sub Class Of simulation engine c
Super Class Of

fluoroscence spectroscopy c

IRI http://purl.obolibrary.org/obo/MOLSIM_000458
Description

Fluorescence spectroscopy is an experimental technique that measures the light emitted by a substance after it has absorbed light. A molecule absorbs light at one wavelength, promoting it to an excited electronic state, and then emits light at a longer, lower-energy wavelength as it relaxes back down. This technique is highly sensitive and is widely used to study molecular conformation, binding, and dynamics by monitoring changes in the fluorescence signal. (UNVERIFIED)

Sub Class Of spectroscopy c
Super Class Of Forster resonance energy transfer c

fit color Tversky c

IRI http://purl.obolibrary.org/obo/MOLSIM_000334
Description

A similarity measure that specifically compares the chemical features and atom types between molecules, focusing on their functional groups and chemical properties rather than their shape. This measure evaluates the similarity of atomic properties and chemical functionalities between molecules, making it valuable for identifying compounds with similar chemical behavior. It complements shape-based similarity measures in molecular comparison workflows.

Sub Class Of Tversky index algorithm c

X-ray refinement c

IRI http://purl.obolibrary.org/obo/MOLSIM_000657
Description

X-ray refinement is the computational process of building and optimizing an atomic model of a molecule to fit the experimental data from an X-ray crystallography experiment. It is an iterative procedure where the atomic coordinates are adjusted to best match the calculated electron density map, while simultaneously ensuring that the model has realistic chemical geometry, such as proper bond lengths and angles. This process is the final and crucial step in determining a high-resolution crystal structure. (UNVERIFIED)

Sub Class Of X-ray crystallography c

distance calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000926
Description

A basic local structure analysis technique that measures the distance between any two specified atoms (bonded or non-bonded) in a molecular system. Monitoring distances is essential for tracking bond lengths, identifying close contacts, analyzing non-covalent interactions (like hydrogen bonds, salt bridges, van der Waals contacts), and assessing overall conformational changes or molecular dimensions. It provides fundamental information about proximity and separation. (UNVERIFIED)

Sub Class Of local structure analysis c

PDDG c

IRI http://purl.obolibrary.org/obo/MOLSIM_000818
Description

Pairwise Distance Directed Gaussian, a modification primarily applied to the MNDO and AM1 methods to improve their performance, particularly for intermolecular interactions. It introduces Gaussian functions dependent on interatomic distances to modify the core-repulsion function used in these semi-empirical models. The goal is to achieve better descriptions of non-covalent interactions compared to the parent methods (UNVERIFIED).

Sub Class Of NDDO c

Kabsch RMSD algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_010011
Description

The Kabsch algorithm, is a method for calculating the optimal rotation matrix that minimizes the RMSD between two paired sets of points. The algorithm only computes the rotation matrix, but it also requires the computation of a translation vector.

Sub Class Of RMSD calculation algorithm c

STO-2G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000174
Description

STO-2G basis sets are minimal basis sets where each Slater-Type Orbital (STO), which closely resembles atomic orbitals, is approximated by a fixed contraction of 2 Gaussian-Type Orbitals (GTOs). Using GTOs significantly speeds up the calculation of electron repulsion integrals compared to using STOs directly. (UNVERIFIED)

Sub Class Of minimal c

software c

IRI http://purl.obolibrary.org/obo/MOLSIM_000001
Description

Software refers to the set of instructions, data, or programs used to operate computers and execute specific tasks. In the context of biomolecular simulation, this includes a wide array of applications, from programs that calculate molecular movements to those that visualize the results. For experts, the specific choice of software, its version, and its underlying algorithms are critical details that determine the reproducibility and scientific validity of a computational experiment. (UNVERIFIED)

In Range Of
Super Class Of

empirical dispersion correction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000641
Description

This is a computational "add-on" used to fix a known weakness in some quantum chemistry methods that poorly describe the weak, attractive forces between molecules. This correction, often denoted as "-D3" or "-D4", adds a simple, pairwise energy term to the total energy calculated by a Density Functional Theory (DFT) method, with parameters fitted to high-level theoretical data. Applying an empirical dispersion correction is now a standard and essential practice for accurately modeling non-covalent interactions, such as protein-ligand binding or DNA base stacking, with most DFT functionals. (UNVERIFIED)

Sub Class Of QM/MM model component c

3DNA c

IRI http://purl.obolibrary.org/obo/MOLSIM_001682
Description

3DNA is a comprehensive software package for the analysis, rebuilding, and visualization of three-dimensional nucleic acid structures. It takes a DNA or RNA structure file as input and calculates a wide range of standard helical and base pair parameters that are used to describe the detailed geometry of the helix. It is a cornerstone tool in the field of nucleic acid structural biology for characterizing and comparing experimental or simulated structures. (UNVERIFIED)

Sub Class Of nucleic acid analysis tool c

solvent analysis format c

IRI http://purl.obolibrary.org/obo/MOLSIM_010021
Description

A solvent analysis format is a file type used to store spatial or statistical data describing the distribution and properties of solvent molecules around a solute. These formats usually contain three-dimensional grid data representing quantities like local solvent density, charge distribution, or interaction potentials derived from simulations or integral equation theories. They are essential for visualizing hydration shells and for calculating thermodynamic properties related to solvation. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

LES trajectory splitting analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000660
Description

LES trajectory splitting is a post-processing step for simulations that use the Locally Enhanced Sampling (LES) method. In an LES simulation, multiple copies of a specific region of the molecule are simulated simultaneously, and this procedure separates the combined trajectory back into individual trajectories for each copy. This allows for the separate analysis of each copy's behavior, which is necessary to calculate the final, averaged properties from the enhanced sampling run. (UNVERIFIED)

Sub Class Of dynamics analysis c

NMR relaxation time c

IRI http://purl.obolibrary.org/obo/MOLSIM_001394
Description

A type of kinetic property that characterizes the rate at which nuclear spins return to thermal equilibrium after being perturbed in a Nuclear Magnetic Resonance (NMR) experiment. These relaxation times are sensitive to molecular motions on different timescales. They are key experimental observables that can be compared with simulation results to validate molecular dynamics. These are known as T1 and T2 relaxation times. (UNVERIFIED)

Sub Class Of kinetic property c
Super Class Of

solvent direct correlation format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001108
Description

This file format stores a 3D data grid representing the direct correlation between a central molecule and the surrounding solvent molecules. This function, known as c(r), isolates the direct influence of the solute on a solvent molecule at a specific position, filtering out indirect effects that are transmitted through other solvent molecules. It is a fundamental quantity in statistical mechanical liquid-state theories like 3D-RISM and is used to calculate other thermodynamic properties of solvation. (UNVERIFIED)

Sub Class Of solvent analysis format c

cc-pCV6Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000538
Description

The cc-pCV6Z (correlation-consistent polarized Core-Valence Sextuple-Zeta) basis set represents one of the largest available sets including functions for core-valence correlation, built upon the cc-pV6Z basis. Its application is limited to benchmark studies on very small systems aiming for the highest possible accuracy in describing both core and valence electron correlation effects. (UNVERIFIED)

Sub Class Of split-valence c

pLDDT c

IRI http://purl.obolibrary.org/obo/MOLSIM_001865
Description

The pLDDT score indicates how confident a computer program, like AlphaFold, is about its prediction for the position of each part of a protein's structure. The predicted Local Distance Difference Test (pLDDT) score ranges from 0 to 100, where a higher score means the program is more confident that the local atomic environment of an amino acid is predicted correctly. This per-residue confidence metric allows researchers to quickly identify which regions of a model are likely to be reliable and which are disordered or poorly predicted. (UNVERIFIED)

Sub Class Of statistical property c

electrostatic interactions c

IRI http://purl.obolibrary.org/obo/MOLSIM_000187
Description

Non-covalent interactions arising from the Coulombic forces between charged or polar species (possessing permanent or induced charge distributions). This encompasses interactions between ions (ion-ion, forming salt bridges), ions and dipoles, dipoles and dipoles, and higher-order multipoles, as well as interactions involving induced dipoles. These interactions can be long-range (decaying as 1/r for ion-ion) and are fundamental to the structure, function, solvation, and binding of biomolecules in their typically polar biological environment. (UNVERIFIED)

Sub Class Of non-covalent interaction c
Super Class Of

NMR data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000440
Description

A category of data formats for files containing information derived from Nuclear Magnetic Resonance (NMR) experiments. These formats are used to store and exchange experimental data, such as structural restraints, that can be used in simulations. (UNVERIFIED)

Sub Class Of data format c
Super Class Of nef format c

aug-cc-pwCVTZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000567
Description

The aug-cc-pwCVTZ basis set merges diffuse functions ('aug-') with the weighted core-valence triple-zeta basis ('-pwCVTZ'). It provides a triple-zeta quality description with functions optimized for core-valence correlation using a weighting scheme ('w') and includes diffuse functions for anions, interactions, etc. It targets high accuracy for properties sensitive to both weighted core-valence effects and diffuse electron density. (UNVERIFIED)

Sub Class Of split-valence c

integration grid c

IRI http://purl.obolibrary.org/obo/MOLSIM_001464
Description

An integration grid is a set of carefully chosen points in space used by a computer program to perform a numerical calculation, similar to how one might estimate an area by summing up small squares. In Density Functional Theory (DFT), it is the spatial grid of points where the exchange-correlation functional is evaluated and numerically integrated to obtain its contribution to the total energy. The density and quality of this grid, often controlled by keywords like int=ultrafine, directly impact the accuracy and computational cost of the DFT calculation. (UNVERIFIED)

Sub Class Of QM/MM model component c
Super Class Of

QM/MM Ewald summation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000629
Description

QM/MM Ewald summation is the specific formulation of the Ewald method used to calculate long-range electrostatic interactions in a periodic QM/MM simulation. It must correctly handle the three types of interactions: MM-MM, QM-MM, and QM-QM, including the interaction of the QM region's electron density with the periodic MM charges. A correct and efficient implementation of QM/MM Ewald is essential for running accurate simulations of reactions in a periodic, explicitly solvated environment. (UNVERIFIED)

Sub Class Of Ewald summation c

normalized neighbor count c

IRI http://purl.obolibrary.org/obo/MOLSIM_001818
Description

A normalized neighbor count is a measure that describes the local density of molecules, like water, around a central point, adjusted for the expected density at that distance. It is calculated by counting the number of neighboring molecules within a certain radius and then dividing by the number that would be expected in a uniform, bulk liquid. This quantity is directly related to the radial distribution function (RDF) and is used to quantify the degree of solvent structuring around a solute. (UNVERIFIED)

Sub Class Of coordination number c

ndfes-CombineMetafiles.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001643
Description

This script is a utility for combining multiple metadata files generated during a free energy calculation, particularly from metadynamics simulations. It merges the information about the biasing potential that was added at different times or from different parallel runs into a single, unified file. This is a necessary data processing step before the final free energy surface can be reconstructed from the combined simulation data. (UNVERIFIED)

Sub Class Of utility script c

kernel density estimation algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001752
Description

Kernel Density Estimation (KDE) is a statistical algorithm used to estimate the underlying probability distribution of a set of data points. It works by placing a small "kernel" function (like a Gaussian) at each data point and then summing these functions to create a smooth curve representing the data's density. In simulation analysis, KDE is a powerful method for visualizing the free energy landscape along a reaction coordinate from the histogram of observed values. (UNVERIFIED)

Sub Class Of statistical algorithm c

neighbor density c

IRI http://purl.obolibrary.org/obo/MOLSIM_001817
Description

Neighbor density is a measure of how crowded the area is around a specific atom or molecule in a simulation. It is calculated by counting the number of neighboring particles within a defined cutoff radius around a central particle, providing a local measure of the system's density. Analyzing the neighbor density is useful for characterizing the solvation shell around a molecule or for identifying regions of high or low packing in a complex system. (UNVERIFIED)

Sub Class Of structural property c

1-step soft-core approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000291
Description

The 1-step soft-core approach aims to compute the free energy difference, especially when atoms appear/disappear, by using modified 'soft-core' potentials within essentially a single simulation window or very few windows. These potentials alter the standard electrostatic and van der Waals interactions at short ranges to prevent infinite energies (singularities) when atoms are created or annihilated (λ→0 or λ→1). While often associated with single-step Free Energy Perturbation (FEP), the soft-core potential concept is crucial for numerically stable TI integrands near endpoints in single-topology approaches. (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

GAMESS-UK output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000883
Description

This refers to the main text output file produced by the GAMESS-UK quantum chemistry software. While containing similar types of information as other QM outputs (input echo, convergence, energies, properties), its specific structure, keywords, and formatting are distinct from the GAMESS (US) package. Careful parsing is required to extract results like energies, molecular orbitals, and calculated properties. (UNVERIFIED)

Sub Class Of simulation log format c

restricted closed-shell wavefunction c

IRI http://purl.obolibrary.org/obo/MOLSIM_001779
Description

This is the standard and most common type of wavefunction model used for molecules where all electrons are paired up in orbitals. In a restricted closed-shell wavefunction, each molecular orbital is required to contain exactly two electrons, one with spin-up and one with spin-down, which is the typical situation for most stable organic molecules. This model is the basis for Restricted Hartree-Fock (RHF) and most standard DFT calculations, offering an efficient approach for the majority of non-radical chemical systems. (UNVERIFIED)

Sub Class Of wavefunction model c

docking tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000162
Description

A computational tool used to predict the preferred binding orientation and affinity (scoring) of one molecule (typically a small ligand) to another (usually a larger receptor like a protein or nucleic acid). Docking tools employ search algorithms to explore possible binding poses within a target site and use scoring functions to estimate the binding strength for each pose. Widely used in drug discovery and understanding molecular recognition, examples include AutoDock, Vina, Glide, GOLD, and DOCK. (UNVERIFIED)

Sub Class Of modeling and setup tool c
Super Class Of

mechanical embedding QM/MM c

IRI http://purl.obolibrary.org/obo/MOLSIM_000500
Description

Mechanical embedding is the simplest scheme for combining the QM and MM regions in a QM/MM simulation. In this approach, the QM region is calculated in isolation, and its interaction with the MM region is limited to the classical bonded and van der Waals terms at the boundary. This method does not allow the electrostatic field of the MM atoms to influence the electronic structure of the QM region, making it computationally fast but less accurate than electrostatic embedding. (UNVERIFIED)

Sub Class Of QM/MM simulation c

database web server c

IRI http://purl.obolibrary.org/obo/MOLSIM_001119
Description

A database web server is an online application that provides a graphical interface for searching, visualizing, and retrieving data from a structured biological or chemical repository. It acts as an accessible gateway, allowing researchers to query complex datasets and download specific entries without needing direct interaction with the underlying database management system. In the context of biomolecular simulation, these servers are the primary means of accessing essential resources such as experimental protein structures, force field libraries, or archived simulation trajectories. (UNVERIFIED)

Sub Class Of web server c
Super Class Of

native contact map c

IRI http://purl.obolibrary.org/obo/MOLSIM_001856
Description

A native contact map is a specific type of contact map that shows all the atomic touches that exist in the correct, functional folded structure of a protein. This map is created from an experimental reference structure and is then used as a benchmark during a folding simulation. By comparing the contact map of a simulated structure to the native contact map, researchers can quantitatively track the progress of a protein folding or unfolding process. (UNVERIFIED)

Sub Class Of contact map c

thermostat coupling constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001177
Description

A specific thermostat coupling parameter, often used in thermostats like Berendsen or Nosé-Hoover, that defines the time constant for temperature relaxation. A smaller value results in tighter, more aggressive temperature coupling. The thermostat coupling constant is a key parameter for tuning the thermostat's behavior. This is often set with the keyword tautp. (UNVERIFIED)

Sub Class Of thermostat coupling parameter c

expanded ensemble simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001555
Description

An expanded ensemble simulation is an enhanced sampling method where the simulation samples not only the coordinates of the system but also an additional thermodynamic variable, such as temperature or an alchemical coupling parameter. The system can move dynamically between different temperatures or states, which helps it to overcome energy barriers and sample a wider range of conformations. For experts, this method is a powerful framework that generalizes techniques like replica-exchange and lambda-dynamics for calculating free energies. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of simulated tempering c

wavefunction property analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000675
Description

An electronic structure analysis method that directly calculates molecular properties as expectation values using the computed quantum mechanical wavefunction or density matrix. This can include properties like dipole and multipole moments, electron density at specific points (e.g., bond critical points in QTAIM), spin densities, or electric field gradients, providing detailed information about the molecule's electronic state and interactions. It leverages the full information contained within the wavefunction. (UNVERIFIED)

Sub Class Of electronic structure analysis c

r-6 weighted distance averaging analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000372
Description

The r-6 weighted distance averaging is a specific calculation method used in NMR analysis to compute an effective distance from a simulation trajectory that can be directly compared to an experimental nuclear Overhauser effect (NOE). Because the NOE intensity is proportional to the inverse sixth power of the distance between two protons, a simple average of the distance is incorrect. For experts, performing this ⁻¹/⁶ averaging is the physically correct way to back-calculate NOE-derived distances from a dynamic ensemble of structures. (UNVERIFIED)

Sub Class Of NMR analysis c

modified incomplete Choleski conjugate gradient solver algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001693
Description

This is a specialized numerical solver used to efficiently solve large systems of linear equations. It is a type of conjugate gradient algorithm that uses a technique called preconditioning to speed up the convergence to the solution. For experts, this solver uses a modified incomplete Cholesky factorization as a preconditioner, making it effective for the large, sparse matrices encountered in methods like normal mode analysis. (UNVERIFIED)

Sub Class Of numerical solver algorithm c

low-mode conformational search c

IRI http://purl.obolibrary.org/obo/MOLSIM_000369
Description

A low-mode conformational search is an enhanced sampling method that accelerates the exploration of a molecule's shapes by pushing it along its natural, large-scale motions. These "low modes" are the slowest, most collective movements of the molecule, which are often calculated using methods like Normal Mode Analysis. For experts, this technique efficiently generates new conformations by preferentially moving the system along the softest vibrational eigenvectors, effectively targeting functionally relevant motions. (UNVERIFIED)

Sub Class Of enhanced sampling c

DL-Find c

IRI http://purl.obolibrary.org/obo/MOLSIM_001680
Description

DL-Find is a software library that provides a collection of robust algorithms for geometry optimization tasks. It contains routines for efficiently finding energy minima (stable structures) and first-order saddle points (transition states) on a potential energy surface. This library acts as an optimization engine that can be incorporated into other simulation or quantum chemistry programs to perform complex structural searches and reaction path calculations. (UNVERIFIED)

Sub Class Of library c

similarity score c

IRI http://purl.obolibrary.org/obo/MOLSIM_001431
Description

A type of miscellaneous descriptor that provides a metric for measuring the similarity between two entities, such as molecular structures or atom types. The similarity score is a quantitative measure used in various contexts, from virtual screening to parameter estimation. This is a key output of cheminformatics tools. (UNVERIFIED)

Sub Class Of miscellaneous descriptor c

structural data quality c

IRI http://purl.obolibrary.org/obo/MOLSIM_000153
Description

When using experimental structures (e.g., protein-ligand co-crystals), this criterion assesses the quality and resolution of that structural data. High-resolution structures with well-defined electron density for the ligand and surrounding protein residues provide a more reliable starting point for simulations. Poor quality structural data can compromise the accuracy of subsequent calculations. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

PME grid spacing c

IRI http://purl.obolibrary.org/obo/MOLSIM_001193
Description

An electrostatic parameter used by the Particle Mesh Ewald (PME) method that specifies the spacing of the grid used for the reciprocal space calculation. A smaller PME grid spacing results in a more accurate calculation but is computationally more expensive. This is a key parameter for tuning the accuracy of the PME method. This is often set with keywords like fft_grids_per_ang or by setting the grid dimensions directly. (UNVERIFIED)

Sub Class Of electrostatic parameter c

X-ray crystallography c

IRI http://purl.obolibrary.org/obo/MOLSIM_000201
Description

X-ray crystallography is an experimental technique that determines the three-dimensional structure of molecules, particularly proteins, by analyzing the diffraction pattern produced when X-rays are scattered by a crystalline form of the molecule. The diffraction pattern contains information about the arrangement of electrons, allowing calculation of an electron density map into which the atomic structure can be built. It is capable of providing very high-resolution structural information. (UNVERIFIED)

Sub Class Of protein structure determination method c
Super Class Of X-ray refinement c

electrostatic parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001191
Description

A type of interaction parameter that specifically controls the calculation of long-range electrostatic interactions. This includes the choice of method, such as Particle Mesh Ewald (PME), and the parameters that control its accuracy. These electrostatic parameter settings are critical for accurately modeling charged or polar systems. These are often set with keywords like ewald or coulombtype. (UNVERIFIED)

Sub Class Of interaction parameter c
Super Class Of

respgen c

IRI http://purl.obolibrary.org/obo/MOLSIM_001615
Description

The respgen program is a utility in the AmberTools suite that automatically generates the input files needed to perform a Restrained Electrostatic Potential (RESP) charge calculation. It takes a molecular structure and creates the input for a quantum chemistry program to calculate the electrostatic potential, as well as the input for the subsequent charge-fitting step. This tool automates the setup for what is a standard and crucial procedure for deriving high-quality atomic charges for new molecules. (UNVERIFIED)

Sub Class Of charge derivation tool c

self-guided Langevin dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000393
Description

Self-guided Langevin dynamics is an enhanced sampling method that accelerates conformational searching by adding a memory-dependent guiding force to the standard equations of motion. This guiding force is calculated from a local average of the forces the system has recently experienced, effectively pushing the system to explore new regions faster. For experts, SGLD enhances sampling by reducing random fluctuations and promoting more directed exploration of the potential energy surface. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of generalized Langevin equation self-guided Langevin dynamics c

titration analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001962
Description

A titration analysis tool is a software program used to investigate the ionization states of acidic and basic groups within a molecule. This includes calculating pKa values based on structural environment or analyzing the populations of protonation states from constant pH molecular dynamics simulations. These tools are critical for understanding pH-dependent protein stability and function. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of

membrane curvature c

IRI http://purl.obolibrary.org/obo/MOLSIM_001874
Description

Membrane curvature is a measure of how much a simulated cell membrane is bent or curved. This property is calculated by fitting the positions of the lipid headgroups to a mathematical surface and then determining the local or average curvature of that surface. Analyzing membrane curvature is essential for studying processes like vesicle formation, membrane fusion, and the influence of proteins that induce or sense bending in the lipid bilayer. (UNVERIFIED)

Sub Class Of structural property c

gro format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000895
Description

The GROMACS .gro file is a simple, formatted text file used to store molecular coordinates, atom/residue names, and optionally velocities. It includes a title line, the total number of atoms, and then one line per atom specifying residue and atom information, coordinates (in nanometers), and optionally velocities. The file concludes with the periodic box vectors. (UNVERIFIED)

Sub Class Of molecular structure format c

placevent analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001668
Description

Placevent is a computational tool used to identify and analyze the positions of solvent molecules, particularly water, in the hydration shell around a solute from a simulation trajectory. It can determine the locations of high water occupancy, which correspond to favorable hydration sites on the molecule's surface. This information is valuable for understanding the role of specific water molecules in molecular recognition and for placing water molecules in a binding site during drug design. (UNVERIFIED)

Sub Class Of system setup modeling c

Pearson product-moment correlation coefficient c

IRI http://purl.obolibrary.org/obo/MOLSIM_001404
Description

A specific type of correlation coefficient that measures the linear relationship between two continuous variables. It is the most common method for calculating correlation. This value is often reported in analysis as the Pearson correlation coefficient or simply 'r'. This is a standard output of statistical packages. (UNVERIFIED)

Sub Class Of correlation coefficient c

endpoint free energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000326
Description

An endpoint free energy method is a computational approach that estimates the free energy difference between two states by analyzing simulations performed only at the beginning and end points of a process. Unlike more rigorous alchemical methods, it does not simulate the intermediate transformation pathway. Methods like MM/PBSA and MM/GBSA are popular endpoint methods that combine molecular mechanics energies with continuum solvent models to estimate binding free energies from trajectories of the bound and unbound states. (UNVERIFIED)

Sub Class Of alchemical free energy analysis c
Super Class Of

QM/MM model component c

IRI http://purl.obolibrary.org/obo/MOLSIM_001463
Description

A QM/MM model component is one of the specific pieces that make up a hybrid simulation where a small, important part of a molecule is treated with high-accuracy quantum mechanics and the rest with a faster, simpler method. These components include the definition of the QM region, the MM region, the specific QM and MM theoretical methods used, and the crucial rules for treating the boundary between the two regions. The precise definition and implementation of each of these components determines the overall accuracy and stability of the QM/MM simulation. (UNVERIFIED)

Sub Class Of model c
Super Class Of

experimental data availability c

IRI http://purl.obolibrary.org/obo/MOLSIM_000148
Description

This practical criterion emphasizes selecting ligands for which reliable experimental data, particularly binding affinity measurements (like Ki, Kd, or IC50), already exist. Having high-quality experimental data is essential for validating the computational predictions and assessing the accuracy of the methods used. Availability of structural data (e.g., co-crystal structures) is also highly valuable. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

ionization potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001383
Description

A type of electronic property representing the minimum energy required to remove an electron from a molecule. It is a fundamental measure of a molecule's resistance to oxidation. The ionization potential is a key quantity calculated by quantum chemistry programs to assess electronic stability. This is often estimated from the energy of the highest occupied molecular orbital (HOMO). (UNVERIFIED)

Sub Class Of electronic property c

dalton c

IRI http://purl.obolibrary.org/obo/UO_0000221
Description

An independently to the base SI units defined mass unit which is equal to one twelfth of the mass of an unbound atom of the carbon-12 nuclide, at rest and in its ground state.

Sub Class Of dalton based unit c

velocity autocorrelation function c

IRI http://purl.obolibrary.org/obo/MOLSIM_001422
Description

A specific type of correlation function that describes how the velocity of a particle at a given time is correlated with its velocity at a later time. The integral of the Velocity Autocorrelation Function is directly related to the diffusion coefficient of the particle. It is a key tool for analyzing the dynamics of liquids. This is often abbreviated as VACF or VAC. (UNVERIFIED)

Sub Class Of correlation function c

interaction type c

IRI http://purl.obolibrary.org/obo/MOLSIM_000057
Description

Refers to the classification of forces or potential energy contributions that describe how particles (atoms, ions, coarse-grained beads) affect each other within a simulation's model or force field. These types determine the structure, dynamics, and thermodynamics of the simulated system according to the chosen model. Interactions are typically divided into categories like covalent (bonded) and non-covalent (non-bonded), or sometimes by range (short-range vs. long-range) or specificity. (UNVERIFIED)

Sub Class Of model c
Super Class Of

hyperfine spectra tensors c

IRI http://purl.obolibrary.org/obo/MOLSIM_001019
Description

The hyperfine interaction is the coupling between an electron spin and a nuclear spin; the associated tensor mathematically describes how this interaction's strength and character depend on the molecule's orientation relative to an external magnetic field. Measured in magnetic resonance experiments (like EPR, ENDOR), the principal values and orientation of this tensor reveal detailed information about the electron spin density distribution around the nucleus. This provides precise structural information regarding the electron's location and bonding. (UNVERIFIED)

Sub Class Of magnetic spectroscopy c

homology modeling tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001958
Description

A homology modeling tool is a software program designed to predict the three-dimensional structure of a protein based on its amino acid sequence and experimentally determined template structures. It constructs a model by mapping the target sequence onto the backbone of a homologous protein and computationally refining the loops and side chains to resolve steric conflicts. For experts, these tools are the standard solution for generating starting structural models when high-resolution crystallography or NMR data for the specific target is unavailable. (UNVERIFIED)

Sub Class Of modeling and setup tool c
Super Class Of Modeller c

dx format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000597
Description

A file format for the OpenDX (Data Explorer) visualization program, used to represent 3D grid-based data. It stores scalar or vector data on a regular grid, making it suitable for visualizing properties like electrostatic potential or molecular density. This format is a common output for scientific programs that generate volumetric data. (UNVERIFIED)

Sub Class Of plot data format c

T2 relaxation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001396
Description

A specific type of NMR relaxation time, also known as the spin-spin or transverse relaxation time. It characterizes the rate at which the nuclear spins lose phase coherence with each other. The T2 relaxation time is sensitive to both fast and slow molecular motions, making it a rich source of dynamical information. This is a key parameter in NMR spectroscopy. (UNVERIFIED)

Sub Class Of NMR relaxation time c

thermodynamic integration parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001283
Description

A type of free energy analysis parameter that controls a thermodynamic integration (TI) calculation. These parameters define the number and spacing of the intermediate states (lambda windows) used to calculate the free energy difference. The thermodynamic integration parameter settings are crucial for obtaining a converged and accurate free energy difference. These are often set in the input file for each lambda window. (UNVERIFIED)

Sub Class Of free energy analysis parameter c
Super Class Of number of lambda windows c

cphstats c

IRI http://purl.obolibrary.org/obo/MOLSIM_001561
Description

The cphstats tool is an analysis program used to process the output from constant pH molecular dynamics (CpHMD) simulations. It reads the log files that track the protonation state changes during the simulation and calculates key results, such as the predicted pKa values and titration curves for the titratable residues. This is the primary tool for extracting the final thermodynamic information from a constant pH simulation. (UNVERIFIED)

Sub Class Of titration analysis tool c

modified amino acid residue name c

IRI http://purl.obolibrary.org/obo/MOLSIM_001765
Description

A modified amino acid residue name is a unique code, typically three letters, assigned to an amino acid that has been chemically altered after being incorporated into a protein. This includes common post-translational modifications like phosphorylation (e.g., 'SEP' for phosphoserine) or acetylation, which are given their own distinct names in structure files. Using these specific names is crucial for applying the correct force field parameters to accurately model the effects of the modification. (UNVERIFIED)

Sub Class Of residue name c

miscellaneous descriptor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001427
Description

A type of output data descriptor for calculated properties that do not fit into the other major categories like thermodynamic or structural properties. This includes mathematical quantities derived from the potential energy surface or other specific analysis metrics. These are often specialized outputs from analysis programs. (UNVERIFIED)

Sub Class Of computed observable c
Super Class Of

sdf format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000907
Description

The Structure-Data File (SDF, .sdf) format is widely used in cheminformatics for storing libraries of small molecules along with associated data. It essentially consists of multiple MOL format blocks (defining atomic coordinates and connectivity for each molecule) concatenated together, where each block can be followed by data fields (like IDs or calculated properties) delimited by specific tags. Files typically separate molecule records with lines containing $$$$. (UNVERIFIED)

Sub Class Of molecular structure format c

gibbs free energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001989
Description

A measure of the maximum reversible work a system can perform at constant temperature and pressure. Defined as the enthalpy minus the product of temperature and entropy (G=H−TS), it determines the direction of spontaneous change and chemical equilibrium. For experts, this is the primary thermodynamic potential of interest in NPT simulations and is used to calculate binding affinities, solvation energies, and phase equilibria. (UNVERIFIED)

Sub Class Of free energy property c

docking log format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002060
Description

A docking log format is a text-based or tabular file generated by molecular docking software (such as AutoDock Vina, Glide, or GOLD) to record the numerical results of a virtual screening or pose prediction run. It typically contains ranked lists of predicted binding poses, estimated binding affinities or docking scores, and clustering metrics like RMSD, serving as the primary predictive output for analyzing binding without needing to parse the 3D structure files. (UNVERIFIED)

Sub Class Of prediction data format c

cc-pV(5+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000542
Description

The cc-pV(5+d)Z basis set augments the very large cc-pV5Z basis with an additional optimized d-type polarization function, targeting improved accuracy for second-row atoms (Na-Ar). It is used in high-level benchmark calculations on small molecules containing these elements where near complete basis set results are sought, including this specific refinement. (UNVERIFIED)

Sub Class Of split-valence c

hysteretic region selection algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001727
Description

A hysteretic region selection algorithm is a specific type of QM/MM region selection algorithm that includes a "memory" effect to prevent atoms from rapidly switching in and out of the QM region. It uses different distance thresholds for an atom to enter the QM region versus leaving it, which stabilizes the QM/MM boundary. For experts, this hysteresis is crucial for preventing numerical noise and instability in adaptive QM/MM simulations. (UNVERIFIED)

Sub Class Of QM/MM region selection algorithm c

ndfes-path c

IRI http://purl.obolibrary.org/obo/MOLSIM_001646
Description

This is a computational tool used to find the most likely transition pathway between two stable molecular shapes on a free energy surface. It takes a pre-calculated free energy landscape and uses an algorithm to identify the minimum free energy path connecting two specified states. This analysis is used to understand the mechanism and sequence of events during a conformational change or a chemical reaction. (UNVERIFIED)

Sub Class Of utility script c

standard thermodynamic integration c

IRI http://purl.obolibrary.org/obo/MOLSIM_000287
Description

Standard Thermodynamic Integration refers to the fundamental application of the TI method where the free energy difference is calculated by simulating multiple independent systems, each corresponding to a discrete value of the coupling parameter λ along the transformation path. The ensemble average ⟨∂H/∂λ⟩ λ is computed for each λ value, and these averages are then numerically integrated (e.g., using the trapezoidal rule) to obtain the total free energy change. This typically requires separate, well-equilibrated simulations for each intermediate λ point. (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

bonded type c

IRI http://purl.obolibrary.org/obo/MOLSIM_002008
Description

A classification code used within a force field topology to assign specific parameters to a covalent bond based on the chemical nature of the connected atoms. It serves as a lookup key, mapping a pair of atom types to specific equilibrium bond lengths and force constants defined in the parameter file. For experts, distinctions in bonded types allow the force field to differentiate bond stiffness and length in different electronic environments (e.g., single vs. double bonds) involving the same elements. (UNVERIFIED)

Sub Class Of identifier c

binding affinity range c

IRI http://purl.obolibrary.org/obo/MOLSIM_000146
Description

This criterion involves selecting ligand pairs whose experimentally measured binding affinities fall within a specific desired range or do not differ too drastically. A moderate affinity range might be targeted for lead optimization studies. Ensuring the affinities are within the detectable limits of experimental assays is also crucial for validation. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

local structure analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000923
Description

A structural analysis focusing on the detailed geometric arrangement of small groups of atoms within a molecule. This includes analyzing specific bond lengths, bond angles, dihedral angles, ring conformations (like sugar pucker), hydrogen bonding patterns, or the conformation of amino acid side chains. It provides fine-grained insights into specific interactions, conformational preferences, and flexibility at the atomic or residue level. (UNVERIFIED)

Sub Class Of structural analysis c
Super Class Of

Andersen barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000042
Description

A barostat algorithm where the simulation box volume is treated as a dynamic variable coupled to a fictitious "piston" mass, interacting with the internal pressure of the system. This extended Lagrangian approach allows the volume to fluctuate dynamically around the value corresponding to the target external pressure, correctly generating the NPT ensemble. It typically assumes isotropic volume changes (UNVERIFIED).

Sub Class Of barostat algorithm c

constraint algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000049
Description

An algorithm used in molecular dynamics simulations to fix certain geometric parameters, most commonly bond lengths involving light atoms like hydrogen. By constraining these fast vibrations, longer simulation time steps can be used, significantly speeding up the simulation while having minimal impact on slower, large-scale motions. These algorithms iteratively adjust particle positions or use analytical solutions to satisfy the constraint conditions (UNVERIFIED).

Sub Class Of algorithm c
Super Class Of

molecular structure representation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001497
Description

A molecular structure representation is the specific format or coordinate system used to describe the three-dimensional arrangement of atoms in a molecule. This can be a simple list of Cartesian (X, Y, Z) coordinates or a more complex description based on internal geometry like bond lengths and angles. The choice of representation can impact the efficiency and ease of certain computational tasks, such as conformational searching or geometry optimization. (UNVERIFIED)

Sub Class Of model c
Super Class Of Z-matrix coordinate representation c

auxiliary basis set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001505
Description

An auxiliary basis set is a special set of mathematical functions used in some quantum chemistry calculations to speed up the most time-consuming parts of the calculation. It is used in methods with density fitting approximations to efficiently represent products of standard basis functions, which simplifies the calculation of electron repulsion integrals. Using an auxiliary basis set that is properly matched to the main orbital basis set is essential for achieving significant computational speed-ups without a major loss of accuracy. (UNVERIFIED)

Sub Class Of basis set c

pathway database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000706
Description

A secondary database that curates and represents information about biological pathways, such as metabolic, signaling, or regulatory networks, detailing the interactions between molecules. These resources help understand complex biological processes and the roles of individual components. KEGG and Reactome are widely used examples. (UNVERIFIED)

Sub Class Of secondary database c

amber ff15ipq-m c

IRI http://purl.obolibrary.org/obo/MOLSIM_001441
Description

A force field specifically parameterized for the simulation of protein mimetics, which are synthetic molecules designed to mimic natural proteins. It extends the existing ff15ipq force field to include parameters for non-standard building blocks, such as D-amino acids and beta-amino acids. This enables researchers to accurately model the structure and dynamics of these non-natural biopolymers. (UNVERIFIED)

Sub Class Of protein force field c

structure clustering with dihedral binning c

IRI http://purl.obolibrary.org/obo/MOLSIM_000938
Description

A specialized structure clustering approach where conformations are grouped primarily based on the values of selected dihedral angles, rather than overall coordinate RMSD. Structures are assigned to bins based on which ranges their key dihedral angles fall into, and clusters are formed by grouping structures within the same or similar bins. This method is particularly useful for analyzing conformational changes driven by specific torsions, like backbone transitions or sidechain rotations. (UNVERIFIED)

Sub Class Of structure clustering analysis c

generalized gradient approximation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001461
Description

The Generalized Gradient Approximation (GGA) is a widely used class of approximation for the exchange-correlation functional in Density Functional Theory. It improves upon the Local Density Approximation by also considering the gradient, or the rate of change, of the electron density at each point. For experts, GGA functionals like BLYP or PBE generally provide significantly better accuracy for molecular geometries and energies than LDA functionals. (UNVERIFIED)

Sub Class Of density functional theory c

GAMESS-UK input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000869
Description

This refers to the input file format for the GAMESS-UK quantum chemistry software package, which is distinct from the US version of GAMESS. It uses specific directives (like TITLE, RUNTYPE, GEOMETRY, BASIS) and data sections to define the molecular system and the parameters for the desired quantum chemical calculation. The structure and keywords differ substantially from GAMESS (US). (UNVERIFIED)

Sub Class Of simulation input format c

Jaguar output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000886
Description

The Jaguar output file (.out) is the main text file generated by the Jaguar quantum chemistry program. It logs the progress and results of the calculation, including input parameters, convergence information for SCF and geometry optimization cycles, final energies, molecular properties such as charges and dipole moments, and vibrational frequencies if requested. Jaguar often produces associated structure files (e.g., .mae) containing the final geometry. (UNVERIFIED)

Sub Class Of simulation log format c

ante-MMPBSA.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001632
Description

The ante-MMPBSA.py script is a utility used to prepare the necessary topology files for running an MM/PBSA or MM/GBSA binding free energy calculation. It takes the topology file of the full complex and generates the separate topology files for the receptor and the ligand by stripping out the unnecessary atoms. For researchers performing these free energy calculations, this script automates a critical and mandatory preparation step. (UNVERIFIED)

Sub Class Of utility script c

grid function c

IRI http://purl.obolibrary.org/obo/MOLSIM_001270
Description

A volumetric analysis parameter that specifies the mathematical function or algorithm used when calculating properties on a 3D grid. Different functions might be used for averaging, summing, or mapping specific atomic properties onto the grid points. The grid function determines what property is being represented by the volumetric data. This is often set with a keyword that specifies the function name. (UNVERIFIED)e

Sub Class Of volumetric analysis parameter c

steered dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000859
Description

Steered Molecular Dynamics (SMD) is a simulation technique where an external, time-dependent force or constraint is applied to manipulate the system, often by pulling on specific atoms or controlling the distance between groups. This forces the system along a chosen pathway, allowing exploration of processes like ligand unbinding or protein unfolding that might not occur spontaneously on simulation timescales. SMD trajectories can also be used with fluctuation theorems (like Jarzynski's equality) to estimate equilibrium free energy differences. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of enforced rotation simulation c

restraint energy constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001207
Description

A restraint parameter that specifies the force constant for a harmonic or other restraining potential. A larger restraint energy constant results in a stronger force pulling the restrained atoms towards their target values. This is a key parameter for controlling the strength of the applied restraints. This is often set with the keyword restraint_wt. (UNVERIFIED)

Sub Class Of restraint parameter c

drug information database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000700
Description

A small molecule database specifically curating information about drugs, including their chemical properties, pharmacological actions, targets, and therapeutic uses. These resources are vital for pharmacology, drug development, and clinical research. DrugBank is a well-known example. (UNVERIFIED)

Sub Class Of small molecule database c

identify_transformations.pl c

IRI http://purl.obolibrary.org/obo/MOLSIM_001635
Description

This script is a utility used in the setup of alchemical free energy calculations to automatically identify the atoms that change between two different ligand structures. It likely compares two molecule files and generates a list of the atoms that are unique to each, which is necessary for defining the alchemical transformation. This automates a key and often error-prone step in preparing relative binding free energy calculations. (UNVERIFIED)

Sub Class Of utility script c

FRETrest.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001630
Description

The FRETrest.py script is a utility used to generate distance restraints for a molecular dynamics simulation based on experimental data from Förster Resonance Energy Transfer (FRET) experiments. It translates the efficiency of energy transfer between two fluorescent labels into a distance distribution that can be used to bias the simulation. This script allows researchers to incorporate long-range distance information from FRET experiments to guide their simulations. (UNVERIFIED)

Sub Class Of utility script c

TIP4P c

IRI http://purl.obolibrary.org/obo/MOLSIM_000763
Description

A 'Transferable Intermolecular Potential' 4-point water model that adds a fourth, massless interaction site (M-site) near the oxygen atom along the H-O-H bisector, representing the lone pair electron density. This additional site generally improves the description of water's electrostatic distribution, phase diagram, and properties like the dielectric constant compared to 3-point models like TIP3P. Several popular variants of TIP4P exist. (UNVERIFIED)

Sub Class Of water model force field c

density functional theory c

IRI http://purl.obolibrary.org/obo/MOLSIM_000627
Description

Density Functional Theory (DFT) is a popular and powerful quantum mechanical method used to calculate the electronic structure of atoms and molecules. Instead of solving for the complex many-electron wavefunction, DFT determines the energy and other properties from the molecule's much simpler electron density. For computational chemists, DFT offers a very good balance between computational cost and accuracy, making it the workhorse method for a wide range of applications. (UNVERIFIED)

Sub Class Of quantum mechanics c
Super Class Of

enthropic contributions mode analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000276
Description

This term refers to methods used to estimate the entropic contribution (−TS) to the free energy, often by analyzing the vibrational modes of the system. Entropy quantifies the disorder or number of accessible states, and these methods typically approximate it by considering the system's vibrations around an average structure. Common approaches include normal mode analysis and quasiharmonic analysis based on simulation fluctuations. (UNVERIFIED)

Sub Class Of entropy analysis c
Super Class Of

soft core potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001482
Description

A soft core potential is a modified non-bonded potential used specifically in alchemical free energy calculations. It alters the standard Lennard-Jones and Coulomb potentials to prevent the energy from becoming infinite when an atom is being created or annihilated. For experts, using soft core potentials is an essential technique to ensure numerical stability and smooth energy changes as the coupling parameter lambda approaches its endpoints. (UNVERIFIED)

Sub Class Of non-bonded potential c

denotator type c

IRI http://purl.obolibrary.org/obo/IAO_0000409
Description

A denotator type indicates how a term should be interpreted from an ontological perspective.

Sub Class Of data about an ontology part c
Equivalentclass

aug-cc-pV(Q+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000563
Description

The aug-cc-pV(Q+d)Z basis set combines a quadruple-zeta correlation-consistent description with both diffuse functions ('aug-') and the additional d-function ('+d') optimized for second-row elements (Na-Ar). This large basis set is used for high-accuracy calculations on systems containing these elements where benchmark quality results are needed for properties sensitive to both diffuse effects and the extra d-polarization. (UNVERIFIED)

Sub Class Of split-valence c

TM-align c

IRI http://purl.obolibrary.org/obo/MOLSIM_001964
Description

TM-align is an algorithm and software tool used to identify the best structural alignment between pairs of protein structures. It utilizes a heuristic search to maximize the Template Modeling score (TM-score), a metric that is more sensitive to global topology than local variations. For researchers, this tool provides a rapid and robust way to quantify structural similarity and classify protein folds independent of sequence identity. (UNVERIFIED)

Sub Class Of match analysis tool c

distribution analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000984
Description

A solvent analysis technique focused on determining the average spatial arrangement or probability density of solvent molecules relative to the solute molecule, averaged over a simulation trajectory. This often involves calculating various distribution functions (e.g., radial, spatial, or angular) that quantify how the likelihood of finding a solvent molecule varies with position and/or orientation around the solute. It reveals preferred solvation sites and the overall structure of the solvent environment. (UNVERIFIED)

Sub Class Of solvent analysis c
Super Class Of

max SCF iterations c

IRI http://purl.obolibrary.org/obo/MOLSIM_001253
Description

An SCF parameter that specifies the maximum number of iterations allowed for the Self-Consistent Field (SCF) procedure to converge. This parameter prevents the calculation from running indefinitely if it fails to converge. The max SCF iterations is a key parameter for controlling the computational cost of the QM calculation. This is often set with the keyword itrmax. (UNVERIFIED)

Sub Class Of SCF parameter c

generalized Born c

IRI http://purl.obolibrary.org/obo/MOLSIM_000073
Description

A specific type of implicit solvent model that provides an analytical approximation to the electrostatic component of the solvation free energy, based on the Born model for solvation of a spherical ion. It calculates effective Born radii for each atom in the solute, representing the degree of solvent exposure, and uses these radii in a formula that approximates the electrostatic polarization energy typically calculated by solving the more complex Poisson-Boltzmann equation. GB models are computationally much faster than PB methods, making them popular for applications like MD simulations or energy minimization, often paired with a surface area term (GBSA). (UNVERIFIED)

Sub Class Of implicit solvent model c

structure cleaning and manipulation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001957
Description

A structure cleaning and manipulation tool is a software utility designed to standardize and correct formatting errors in molecular structure files. These tools perform logistical tasks such as renumbering residues, standardizing atom names to match force field conventions, and handling missing chain identifiers. For experts, using these tools is a mandatory data-curation step to ensure that experimental structures are technically compatible with simulation engines. (UNVERIFIED)

Sub Class Of structure preparation tool c
Super Class Of

force field component c

IRI http://purl.obolibrary.org/obo/MOLSIM_000331
Description

A force field component is one of the individual mathematical terms or parameter types that make up a complete molecular mechanics force field. This includes the potential energy functions for bond stretching, angle bending, and non-bonded interactions, as well as the specific atom types and their associated parameters. For experts, understanding these individual components is key to force field development and to diagnosing the behavior of a simulation. (UNVERIFIED)

Sub Class Of model c
Super Class Of

high accuracy energies analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000605
Description

Energy analysis calculations performed using computationally intensive, high-level theoretical methods (e.g., advanced quantum mechanical methods like coupled cluster, high-level DFT with large basis sets) to obtain very precise and reliable potential energy values. These accurate energies are often calculated for specific critical structures (like optimized minima, transition states, or representative conformations) to provide benchmark energetics for reaction barriers, binding affinities, or conformational stability. Due to their cost, they are typically limited to single point calculations or small systems. (UNVERIFIED)

Sub Class Of energy analysis c

ligand cavity analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001863
Description

Ligand cavity characterization is a specific type of pocket analysis that focuses on the binding site occupied by a ligand. It involves analyzing the size, shape, and properties of the cavity when the ligand is present or absent. For experts, this analysis is used to understand the determinants of binding specificity and to assess how the binding pocket adapts to different ligands. (UNVERIFIED)

Sub Class Of

partial auto-correlation coefficients analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000346
Description

Partial auto-correlation coefficients measure the correlation between a time series and a lagged version of itself (at lag τ) after removing the linear dependence associated with all the shorter, intermediate lags (1 to τ−1). The Partial Auto-Correlation Function (PACF) helps identify the direct relationship between an observation and its value at a specific earlier time point, distinct from indirect correlations mediated by intermediate points. It is useful in time series modeling (e.g., ARIMA). (UNVERIFIED)

Sub Class Of auto-correlation coefficients analysis c

nucleosome wrapping c

IRI http://purl.obolibrary.org/obo/MOLSIM_001882
Description

Nucleosome wrapping describes the way a long DNA molecule is spooled around a core of proteins to fit inside a cell's nucleus. In simulations, this refers to the analysis of the path and geometry of a DNA molecule as it bends and makes contact with the histone protein octamer, forming the fundamental repeating unit of chromatin. Studying nucleosome wrapping is essential for understanding how DNA is compacted and how access to the genetic code is regulated for gene expression. (UNVERIFIED)

Sub Class Of structural property c

Hartree-Fock c

IRI http://purl.obolibrary.org/obo/MOLSIM_000810
Description

A fundamental ab initio quantum chemistry method that approximates the solution to the electronic Schrödinger equation for a multi-electron system. It treats each electron as moving in an average field created by all other electrons, neglecting instantaneous electron correlation but including exact exchange interaction. It serves as a starting point for more sophisticated ab initio methods and is the foundation simplified by semi-empirical approaches (UNVERIFIED).

Sub Class Of ab-initio method c
Super Class Of

function c

IRI http://purl.obolibrary.org/obo/BFO_0000034
Sub Class Of disposition c
In Domain Of function of op
In Range Of has function op

parameter fitting tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001605
Description

A parameter fitting tool is a specialized program used to derive the numerical values, or parameters, for a molecular mechanics force field. It works by systematically adjusting the parameters of the force field's energy functions to reproduce a set of high-quality target data, which can come from quantum mechanical calculations or experimental measurements. These tools are the essential engines of force field development, used to create accurate models for new or non-standard molecules. (UNVERIFIED)

Sub Class Of topology and parameterization tool c
Super Class Of

Applequist scheme c

IRI http://purl.obolibrary.org/obo/MOLSIM_001547
Description

The Applequist scheme is a classical model used to calculate the induced dipole moments in a system of interacting polarizable atoms. It treats each atom as having a point polarizability and solves a system of linear equations to find the set of induced dipoles that are self-consistent with the total electric field from all permanent and induced multipoles. This method is a foundational approach for many polarizable force fields, but it is known to suffer from a "polarization catastrophe" where dipoles can diverge at short interatomic distances if not properly damped. (UNVERIFIED)

Sub Class Of polarization algorithm c

atom remapping analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000684
Description

An atom remapping method is a procedure used to systematically change the properties of atoms in a topology file, such as their atom types or charges. This is often required when converting a system from one force field to another or when applying specific corrections. For experts, this is an advanced manipulation used in force field development or for setting up non-standard simulations. (UNVERIFIED)

Sub Class Of system setup modeling c

Blender c

IRI http://purl.obolibrary.org/obo/MOLSIM_001931
Description

Blender is a free and open-source 3D computer graphics software suite used for creating animated films, visual effects, art, and 3D printed models. While not a dedicated molecular viewer, it is often used by computational biologists to import molecular structures and create high-quality, cinematic renderings and scientific animations. For experts, Blender provides a professional-level tool for producing visually stunning figures and movies for publications and presentations. (UNVERIFIED)

Sub Class Of molecular structure visualization tool c

3D-RISM solvation energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001324
Description

A specific type of solvation free energy calculated using the 3D Reference Interaction Site Model (3D-RISM), a statistical-mechanical theory of molecular liquids. This method provides a detailed, atomistic picture of the solvent structure and thermodynamics around the solute. The 3D-RISM solvation energy is a key output of 3D-RISM calculations. This value is often reported as the excess chemical potential. (UNVERIFIED)

Sub Class Of solvation free energy c

brownian dynamics integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_002024
Description

A numerical algorithm used to simulate the motion of particles in a fluid where friction dominates over inertia. It integrates the overdamped Langevin equation, assuming that the momenta relax instantaneously, so particle positions are updated based on forces and a random displacement derived from the diffusion coefficient. For experts, this integrator allows for much larger time steps than standard MD by ignoring fast inertial motions, making it ideal for simulating diffusion-controlled processes or coarse-grained systems. (UNVERIFIED)

Sub Class Of integration algorithm c

specialized techniques c

IRI http://purl.obolibrary.org/obo/MOLSIM_001022
Description

This category includes spectroscopic methods that might be less common, combine principles from different types of spectroscopy, or probe highly specific molecular properties like chirality or non-linear optical responses. They often provide unique structural or dynamic insights that complement more standard techniques. Examples include techniques sensitive to molecular chirality or those using multiple synchronized laser pulses. (UNVERIFIED)

Sub Class Of spectroscopy c
Super Class Of

Pymol c

IRI http://purl.obolibrary.org/obo/MOLSIM_000493
Description

A very popular, powerful, and widely used open-source (with some subscription features) molecular visualization system, known for producing high-quality 3D images of molecules and biological macromolecules. PyMOL allows detailed structure inspection, analysis (measurements, surfaces, electrostatics), creating publication-quality figures and animations, and includes scripting capabilities for automation. It is an indispensable tool for visualizing simulation setups and trajectories, although its structure manipulation capabilities are less extensive than dedicated modeling suites. (UNVERIFIED)

Sub Class Of molecular structure visualization tool c

plane angle unit c

IRI http://purl.obolibrary.org/obo/UO_0000122
Description

A unit which is a standard measure of the angle formed by two straight lines in the same plane.

Sub Class Of angle unit c
Super Class Of

wavefunction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001386
Description

A specific wavefunction property representing the total electronic energy of the molecular system for a given nuclear geometry. This is the primary output of most quantum chemical calculations. It is the expectation value of the Hamiltonian operator for the calculated wavefunction. This is often referred to as the SCF Energy. (UNVERIFIED)

Sub Class Of wavefunction property c

unit head atom c

IRI http://purl.obolibrary.org/obo/MOLSIM_001757
Description

The unit head atom is the atom in a residue library that is defined as the "start" of the residue, typically the one that connects to the previous residue in a chain. In a standard amino acid, this would be the backbone nitrogen atom. This designation is a convention used by system building programs like LEaP to correctly assemble polymers. (UNVERIFIED)

Sub Class Of residue library c

CMake c

IRI http://purl.obolibrary.org/obo/MOLSIM_001586
Description

CMake is a cross-platform build system tool used to control the software compilation process using simple configuration files. It generates the native build files (like Makefiles on Linux or project files for Visual Studio on Windows) required to compile a software package. In biomolecular simulation, CMake is widely used by developers of major software packages like GROMACS and AMBER to manage their complex build process across different operating systems. (UNVERIFIED)

Sub Class Of build system tool c

InflateGro c

IRI http://purl.obolibrary.org/obo/MOLSIM_001953
Description

InflateGRO is a utility script used to construct lipid membrane systems by packing lipids around a membrane protein. It works by initially expanding the distance between lipid molecules and then iteratively shrinking the system back to a realistic density while removing lipids that overlap with the protein. This method automates the challenging process of embedding a protein structure into a tight, pre-equilibrated lipid bilayer. (UNVERIFIED)

Sub Class Of membrane packing tool c

intrinsic reaction coordinate maximum analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000583
Description

The intrinsic reaction coordinate maximum refers to the highest energy point found along the minimum energy path that connects a reactant and a product, which corresponds to the transition state. This path is a theoretical construct that follows the steepest descent from the transition state saddle point down to the stable energy minima. Identifying this maximum is the primary goal of transition state searches, as its energy determines the activation energy barrier for the chemical reaction. (UNVERIFIED)

Sub Class Of intrinsic reaction coordinate analysis c

millisecond c

IRI http://purl.obolibrary.org/obo/UO_0000028
Description

A time unit which is equal to one thousandth of a second or 10^[-3] s.

Sub Class Of second based unit c

generalized distance coordinate restraint c

IRI http://purl.obolibrary.org/obo/MOLSIM_001512
Description

A generalized distance coordinate restraint is a type of restraint that is applied to a complex coordinate defined as a combination of multiple distances, angles, or dihedrals. This allows for the restraining of complex conformational changes, such as the movement of a whole domain, that cannot be described by a single distance. For experts, these restraints are a powerful tool in advanced enhanced sampling methods for guiding a simulation along a complex reaction coordinate. (UNVERIFIED)

Sub Class Of restrained simulation method c

RM1 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000822
Description

Recife Model 1, an all-valence-electron semi-empirical quantum method based on the NDDO approximation, developed as a re-parameterization of AM1. The goal was to improve upon AM1's accuracy, particularly for geometries and heats of formation of organic molecules containing common heteroatoms like N, O, P, S, and halogens. It uses the same underlying theoretical model as AM1 but employs updated parameters (UNVERIFIED).

Sub Class Of all-valence-electron restricted c

ndfes-path-analyzesims.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001648
Description

This script is a utility for analyzing the set of simulations that were run to determine a transition pathway. It processes the trajectories from simulations performed along a path to refine its position or to calculate properties, such as the average force, along that path. This analysis is a key part of iterative path-finding methods that use simulation data to converge on the minimum free energy path. (UNVERIFIED)

Sub Class Of utility script c

Larmor frequency c

IRI http://purl.obolibrary.org/obo/MOLSIM_001847
Description

The Larmor frequency is the specific rate at which a magnetic particle, like an atomic nucleus, wobbles or "precesses" when placed in a strong external magnetic field. This is analogous to the way a spinning top wobbles in the Earth's gravitational field. This frequency is the fundamental principle behind all Nuclear Magnetic Resonance (NMR) experiments, as it determines the exact frequency of energy the nucleus will absorb. (UNVERIFIED)

Sub Class Of physical property c

DNA force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000010
Description

A force field specifically developed and parameterized for simulating Deoxyribonucleic Acid (DNA) molecules. It focuses on accurately representing the structure, dynamics, and interactions of DNA bases, sugars, and phosphate backbone, including features like sugar pucker and helical parameters. Accurate DNA force fields are essential for studying DNA replication, transcription, and drug binding. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of

virial c

IRI http://purl.obolibrary.org/obo/MOLSIM_001990
Description

A mathematical quantity used to calculate the pressure of a system based on the positions and forces of its atoms. It is derived from the virial theorem and involves summing the dot products of atomic coordinates and the forces acting upon them. For experts, in molecular dynamics, the instantaneous virial is essential for the pressure tensor calculation and the function of barostat algorithms in NPT simulations. (UNVERIFIED)

Sub Class Of thermodynamic property c

direct sum cutoff c

IRI http://purl.obolibrary.org/obo/MOLSIM_001198
Description

An electrostatic parameter used in Ewald-based methods that specifies the cutoff distance for the real-space (direct sum) part of the calculation. This parameter balances the computational work done in real space versus reciprocal space. The direct sum cutoff is a key parameter for tuning the performance of the PME method. This is often set with the keyword es_cutoff or rcoulomb. (UNVERIFIED)

Sub Class Of electrostatic parameter c

Tanimoto similarity algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000075
Description

This likely refers to a similarity score derived by combining the standard Tanimoto coefficient (often calculated on molecular fingerprints) with other similarity measures or scores. The goal of combining scores is often to leverage the strengths of different metrics to get a more robust or comprehensive assessment of similarity. (UNVERIFIED).

Sub Class Of similarity calculation algorithm c
Super Class Of

entropic decomposition analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000651
Description

Entropic decomposition analysis is a method used to break down the total entropy change of a process, such as ligand binding, into contributions from different sources. This can include separating the entropy into translational, rotational, and vibrational components, or into contributions from the solute and the solvent. This analysis provides a detailed understanding of the different sources of disorder that drive a molecular process, revealing whether it is favored by, for example, the release of water molecules or an increase in conformational flexibility. (UNVERIFIED)

Sub Class Of entropy analysis c

grid points c

IRI http://purl.obolibrary.org/obo/MOLSIM_001271
Description

A volumetric analysis parameter that specifies the number of points in each dimension of a 3D grid. This parameter directly controls the size and resolution of the volumetric data. The grid points are a key parameter for defining the scope of the grid-based analysis. This is often set with the keyword --ng. (UNVERIFIED)

Sub Class Of volumetric analysis parameter c

native contact analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000454
Description

Native contact analysis is a structural analysis method used to monitor the formation of a molecule's correct, folded structure, often during a protein folding simulation. It works by defining a set of atom-atom contacts that are present in the final, "native" folded state and then calculating what fraction of these contacts are formed at any given time. For researchers, the fraction of native contacts is a common and simple reaction coordinate used to track the progress of a folding simulation. (UNVERIFIED)

Sub Class Of structural analysis c

rise c

IRI http://purl.obolibrary.org/obo/MOLSIM_001369
Description

A base pair step parameter that describes the translational distance between two adjacent base pairs along the central helical axis. The rise per step is a primary determinant of the overall length of the DNA or RNA helix. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair step parameter c

web server c

IRI http://purl.obolibrary.org/obo/MOLSIM_001671
Description

A web server in this context is a software application that provides a graphical user interface through a web browser to access complex computational tools. This allows users to perform tasks like building a molecular system or analyzing data without needing to install specialized software on their own computer. For the simulation community, web servers like CHARMM-GUI provide an accessible way to perform standardized but complex setup and analysis procedures. (UNVERIFIED)

Sub Class Of software c
Super Class Of

cpout format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000601
Description

A cpout (constant pH output) file is generated during constant pH Molecular Dynamics (CpHMD) simulations in AMBER, contain the results of the simulation—such as pH-dependent state changes, lambda values, protonation fractions, and statistics relevant to titratable groups. These files are produced as a result of the simulation or post-simulation analysis, not used to initiate or restart simulations.

Sub Class Of simulation log format c

protonation state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000106
Description

The specific state of a molecule defined by which of its ionizable functional groups are protonated (e.g., -COOH vs -COO-, -NH3+ vs -NH2) or deprotonated. The protonation state depends on the pKa values of the groups and the pH of the environment. Determining the correct protonation state(s) for amino acid residues and ligands is a critical step in preparing systems for simulation, as it dictates charge distribution and electrostatic interactions. (UNVERIFIED)

Sub Class Of ligand state c

steered molecular dynamics algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_002056
Description

An algorithm that applies a time-dependent, usually harmonic, guiding potential to specific atoms or collective variables. It calculates the necessary biasing forces to force the system to evolve along a predefined reaction coordinate, simulating non-equilibrium processes like ligand unbinding or protein unfolding. (UNVERIFIED)

Sub Class Of enhanced sampling algorithm c

polarizable force field parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001262
Description

A type of simulation parameter that controls a simulation using a polarizable force field. These parameters define the convergence criteria for the induced dipole calculation and other aspects of the polarizable model. The polarizable force field parameter settings are essential for simulations that aim for a high level of electrostatic accuracy. These are often set in a specific polar section of the input file. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

MM-PBSA analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000952
Description

A widely used computational method for estimating the binding free energy of a molecular complex, particularly for large biomolecules like protein-ligand systems. It combines molecular mechanics (MM) energies calculated from simulation snapshots with continuum solvation models, specifically using the Poisson-Boltzmann (PB) equation to calculate electrostatic solvation energy and a surface area (SA) term for nonpolar solvation energy. It averages results over multiple simulation snapshots to implicitly include entropic effects related to conformation. (UNVERIFIED)

Sub Class Of effective energy analysis c

enhanced sampling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000845
Description

Enhanced sampling encompasses a diverse set of computational techniques used in molecular simulations to accelerate the exploration of a system's possible configurations or states. These methods aim to overcome the timescale limitations of standard simulations, particularly when high energy barriers separate important states or when rare events need to be sampled efficiently. They often involve modifying the potential energy surface, using multiple simulation copies, or applying biasing forces. (UNVERIFIED)

Sub Class Of molecular dynamics c
In Domain Of has reaction coordinate op
Super Class Of

RMSF analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000312
Description

RMSF analysis is a calculation that identifies which parts of a molecule are the most flexible or wobbly. As a type of structural analysis, this method quantifies the mobility of individual atoms or residues by calculating the root-mean-square fluctuation of their positions around the time-averaged structure from a trajectory. The resulting per-residue RMSF values are directly comparable to crystallographic B-factors and are used to identify flexible loops, termini, or side chains. This is commonly referred to in analysis tools and outputs as "rmsf," "atomicfluct," "fluctuations," or "per-residue RMSF." (UNVERIFIED)

Sub Class Of structural analysis c

data plotting tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_002042
Description

A visualization tool designed to generate 2D or 3D graphs, charts, and plots from numerical data files. In simulation workflows, these are used to plot time-series data (like RMSD or energy over time), histograms, and statistical analyses. (UNVERIFIED)

Sub Class Of visualization tool c
Super Class Of

beta bridge c

IRI http://purl.obolibrary.org/obo/MOLSIM_001792
Description

A beta bridge is a single hydrogen bond that links two distant parts of a protein chain together, forming a small zig-zag. It is a simple secondary structure element consisting of a single pair of hydrogen bonds between the backbone atoms of two residues that are not adjacent in the sequence. While a beta sheet is formed by many such hydrogen bonds, an isolated beta bridge can act as a key stabilizing interaction that helps to hold a protein's folded structure together. (UNVERIFIED)

Sub Class Of secondary structure c

Li and Merz 12-6 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000250
Description

A specific set of Lennard-Jones (LJ) parameters (using the 12-6 functional form: VLJ = 4ϵ[(σ/r)^12−(σ/r)^6 ]) for various common monoatomic ions, developed or published by Li and Merz (likely Pengfei Li and Kenneth M. Merz Jr.). These parameters define the Van der Waals size (σ) and interaction strength (ϵ) of ions for use in classical simulations. Such parameter sets are typically derived by fitting simulation results (e.g., solvation free energies, radial distribution functions) to experimental data, often ensuring compatibility with a particular water model (like TIP3P or SPC/E). (UNVERIFIED)

Sub Class Of ion parameterization c

continuous constant pH molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000417
Description

Continuous constant pH molecular dynamics is a specific implementation of the constant pH method where the protonation state is treated as a continuous variable that evolves dynamically with time. This avoids the discrete jumps of Monte Carlo-based methods and allows the titration behavior to be smoothly coupled to the rest of the system's motions. For experts, this approach uses an extended Lagrangian framework to propagate the titration coordinates alongside the atomic coordinates. (UNVERIFIED)

Sub Class Of constant pH molecular dynamics c
Super Class Of PME continuous constant pH molecular dynamics c

ion parameterization c

IRI http://purl.obolibrary.org/obo/MOLSIM_000249
Description

Refers specifically to the set of numerical values used within a molecular mechanics force field to define the non-bonded interaction properties of simple atomic ions (e.g., Na+,Cl-,K+,Ca^2+).These typically consist of the ion's net charge (e.g.,+1e, −1e) and parameters for the Van der Waals interaction,most commonly the Lennard−Jones parameters (σ, defining the collision diameter, and ϵ, defining the energy well depth). Accurate ion parameters are essential for realistically modeling ionic solutions, salt effects on biomolecules, ion channels, and metalloprotein active sites, and are often carefully optimized for compatibility with a chosen water model. (UNVERIFIED)

Sub Class Of model c
Super Class Of Li and Merz 12-6 c

1-4 non-bonded interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_001470
Description

The non-bonded potential is the component of a force field that describes the interactions between atoms that are not directly connected by chemical bonds. It is typically composed of two parts: the van der Waals potential, which models short-range repulsion and dispersion, and the electrostatic potential, which models the Coulomb interaction between atomic partial charges. Calculating the non-bonded potential is the most computationally expensive part of a molecular dynamics simulation. (UNVERIFIED)

Sub Class Of force field component c

protein-protein interaction Gaussian accelerated molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000403
Description

This is an application of the GaMD method specifically designed to enhance the sampling of protein-protein binding and unbinding events. The boost potential is applied to the potential energy of the entire complex to accelerate the slow association and dissociation processes. For experts, this method can be used to explore the pathways of protein complex formation and to estimate the thermodynamics of the interaction. (UNVERIFIED)

Sub Class Of Gaussian accelerated molecular dynamics c
Super Class Of dual-boost protein-protein interaction Gaussian accelerated molecular dynamics c

MOPAC internal format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000875
Description

This MOPAC input file format defines the molecular geometry using internal coordinates, typically in the form of a Z-matrix specifying bond lengths, bond angles, and dihedral angles relative to previously defined atoms. This format follows the main keyword line specifying the method and calculation options. It contrasts with the format using Cartesian coordinates. (UNVERIFIED)

Sub Class Of molecular structure format c

simulation parameter set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001080
Description

A simulation parameter set is the complete collection of settings and instructions that tells a computer program how to run a molecular simulation. This includes specifying the desired temperature and pressure, the length of the simulation, and the algorithms to be used for calculating forces and updating atom positions. These parameters are typically stored in a text file and are essential for defining the exact conditions of the computational experiment, ensuring it can be reproduced. (UNVERIFIED)

Sub Class Of process specification c

switching distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001188
Description

A non-bonded interaction parameter that specifies the distance at which a switching or smoothing function begins to be applied to the potential energy. This is used to smoothly bring the energy and forces to zero at the cutoff distance, which can improve energy conservation. The switching distance is typically set to a value slightly less than the main cutoff distance. This is often set with keywords like r-switch. (UNVERIFIED)

Sub Class Of non-bonded interaction parameter c

interaction energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000954
Description

An energy analysis term usually referring to the direct potential energy change when two or more molecules or fragments are brought together from infinite separation to their geometry within the complex, calculated using a specific theoretical level (MM or QM). It typically represents the sum of direct electrostatic and van der Waals (or quantum mechanical equivalents like electrostatics, exchange-repulsion, induction, dispersion) interactions between the components in the fixed complex geometry. It often excludes contributions from the energy required to distort the fragments upon binding and solvation effects, representing a key component of the total binding energy. (UNVERIFIED)

Sub Class Of binding energy analysis c
Super Class Of

conical intersection point analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000585
Description

A critical feature identified through surface analysis representing a point in molecular geometry where two electronic potential energy surfaces of the same spin-symmetry become degenerate (have the same energy). These points act as funnels facilitating rapid, non-adiabatic transitions between electronic states, crucial for understanding photochemical reactions and relaxation processes. Their location and properties dictate the efficiency and outcome of such electronic transitions. (UNVERIFIED)

Sub Class Of surface analysis c

water-water interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001805
Description

The water-water interaction energy is the total potential energy resulting from all the interactions of every water molecule with every other water molecule in the simulation. This value represents the overall cohesiveness of the solvent and is the largest energy component in a typical biomolecular simulation. The stability of this energy term is a key indicator that the solvent in the simulation box is well-equilibrated. (UNVERIFIED)

Sub Class Of interaction energy c

buckingham potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_002018
Description

A mathematical formula used to calculate the forces between atoms that are not chemically bonded to each other. Unlike the standard Lennard-Jones model, it replaces the steep r ^−12 repulsion term with an exponential function to better describe the softness of atomic electron clouds at short distances. For experts, the potential usually takes the form V(r)=Aexp(−Br)−Cr^−6, and while physically more accurate for repulsion, requires computational safeguards to prevent atomic fusion at very short distances where the exponential term turns over. (UNVERIFIED)

Sub Class Of non-bonded potential c

sander c

IRI http://purl.obolibrary.org/obo/MOLSIM_001670
Description

The sander program is the general-purpose simulation engine included in the AmberTools software suite. It can perform a wide variety of calculations, including energy minimization, molecular dynamics simulations, and some free energy calculations. While the commercial AMBER package includes the more highly optimized PMEMD engine for speed, sander provides a versatile and freely available tool for running a broad range of simulation protocols. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

mol2 format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000906
Description

The Mol2 format (.mol2) is a text-based file format originating from Sybyl software, commonly used to represent small molecules, especially in docking and cheminformatics applications. It stores atomic coordinates, atom names, connectivity (including bond orders), partial charges, and often uses specific Sybyl atom types. A single Mol2 file can contain multiple molecular structures. (UNVERIFIED)

Sub Class Of

targeted molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000862
Description

Targeted Molecular Dynamics (TMD) is a simulation technique used to induce a conformational transition between a known initial structure and a known target structure. It achieves this by adding an extra potential energy term that biases the system to reduce its root-mean-square deviation (RMSD) relative to the target structure over the course of the simulation. TMD provides a plausible pathway for the transition, although not necessarily the minimum energy or most probable one. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of multiply-targeted molecular dynamics c

force field parameter update modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000668
Description

A force field parameter update method is a procedure for modifying or adding to an existing set of force field parameters. This is often done by reading a small file containing new or revised parameters that override the default values loaded from the main force field library. For experts, this method is the standard way to use parameters for a non-standard ligand or to apply a specific correction to the force field without having to edit the core parameter files. (UNVERIFIED)

Sub Class Of force field parameterization modeling c

pdb format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000446
Description

The PDB format (.pdb) is the long-standing, fixed-column text format traditionally used for storing protein and nucleic acid structures from the Protein Data Bank. It includes records for metadata (HEADER, TITLE, REMARK), atomic coordinates (ATOM, HETATM), and optionally connectivity (CONECT). While still widely compatible with visualization and simulation software, it has limitations for very large structures and complex metadata compared to the newer mmCIF format. (UNVERIFIED)

Sub Class Of

constant pH parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001259
Description

A type of simulation parameter that controls a constant pH molecular dynamics (CpHMD) simulation. These parameters define the frequency of protonation state changes and the relaxation protocol used after each change. The constant pH parameter settings are essential for simulations where the protonation state of residues is expected to change. These are often set in a specific cph section of the input file. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

gradient c

IRI http://purl.obolibrary.org/obo/MOLSIM_001428
Description

A type of miscellaneous descriptor representing the vector of the first derivatives of the potential energy with respect to the atomic coordinates. The negative of the gradient is the force acting on each atom. It is a key quantity in geometry optimization and molecular dynamics simulations. This is often reported as Gradient or Forces. (UNVERIFIED)

Sub Class Of miscellaneous descriptor c

ambpdb c

IRI http://purl.obolibrary.org/obo/MOLSIM_001631
Description

The ambpdb utility is a command-line tool in the AmberTools suite that converts AMBER's native topology (.prmtop) and coordinate (.inpcrd or .rst7) files into the standard Protein Data Bank (PDB) format. This conversion is essential for visualizing simulation snapshots or using the structures in other programs that do not read AMBER formats directly. For AMBER users, ambpdb is a fundamental tool for exporting their simulation data for analysis and visualization. (UNVERIFIED)

Sub Class Of utility script c

generalized Langevin equation self-guided Langevin dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000394
Description

This is a highly advanced simulation method that enhances conformational sampling by incorporating a "memory" of the system's past motions into the equations that guide its movement. It combines the Self-Guided Langevin Dynamics (SGLD) approach, which accelerates exploration, with the Generalized Langevin Equation (GLE), which models the complex, time-correlated friction and random forces from the environment. This combination aims to provide a more physically realistic and efficient way to simulate the dynamics of complex molecules. (UNVERIFIED)

Sub Class Of self-guided Langevin dynamics c

standard xyz format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000319
Description

A standardized, minimalistic text-based file format used to store the Cartesian coordinates of atoms. It typically consists of a header line (atom count), a comment line, and one line per atom containing the element symbol and X, Y, Z positions. It generally does not contain connectivity or topology information. (UNVERIFIED)

Sub Class Of molecular structure format c

ACEMD c

IRI http://purl.obolibrary.org/obo/MOLSIM_001929
Description

ACEMD is a high-performance molecular dynamics software package specifically designed and optimized to run on NVIDIA graphics processing units (GPUs). It is known for achieving very high simulation speeds, allowing researchers to generate long trajectories in a short amount of time. For experts, ACEMD is a powerful tool for brute-force sampling of conformational space and for studying long-timescale events. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

CHAP c

IRI http://purl.obolibrary.org/obo/MOLSIM_000267
Description

The Channel Annotation Package (CHAP) is a specialized software tool used to analyze the functional properties of pores and channels in membrane proteins. It calculates a detailed pore radius profile combined with a hydrophobicity profile to estimate the free energy barriers for water and ion permeation. This analysis allows researchers to visualize solvent behavior inside the pore and determine the conductive state of ion channels. (UNVERIFIED)

Sub Class Of tunnel predictor tool c

AMBER REM log format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000599
Description

Log file from an Amber Replica Exchange MD simulation. The main file extension for Amber REM (Replica Exchange Molecular Dynamics) log files is .log, typically named as rem.log, according to the Amber documentation and tutorial resources. This log file tracks exchanges, replica temperatures, and relevant statistics for the REMD process.

Sub Class Of simulation log format c

electrostatic interaction algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000053
Description

An algorithm designed to efficiently calculate the long-range electrostatic forces between charged particles (atoms) in molecular simulations, which is computationally demanding due to the N-squared complexity if all pairs are considered directly. These methods employ various approximations or techniques like grid-based calculations, truncation schemes, or multipole expansions to reduce the computational cost while maintaining acceptable accuracy. They are essential for simulating realistic biomolecular systems (UNVERIFIED).

Sub Class Of force calculation algorithm c
Super Class Of

thermodynamic property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001293
Description

A type of output data descriptor that represents a macroscopic property of a system describing its thermodynamic state. As a state function, its value depends only on the current system conditions and is often calculated as an average over a statistical ensemble. These properties are essential for verifying simulation stability, ensuring equilibrium, and understanding the material properties of the system. In simulation outputs, these are often found in log files under sections like "AVERAGES" or "Ensemble Properties". (UNVERIFIED)

Sub Class Of computed observable c
Super Class Of

steepest descent algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001744
Description

The steepest descent algorithm is a simple and robust energy minimization algorithm that iteratively moves the atoms in the direction of the greatest force. At each step, it adjusts the atomic positions in the direction opposite to the gradient of the potential energy. While it is not the most efficient method for finding a precise minimum, it is very effective at rapidly relieving major steric clashes in an initial, high-energy structure. (UNVERIFIED)

Sub Class Of energy minimization algorithm c

software development c

IRI http://purl.obolibrary.org/obo/APOLLO_SV_00000008
Description

A planned process that has specified output a software product and that involves the creation of source code.

Sub Class Of planned process c
Equivalentclass has_specified_output op some
and planned process c
Restriction has_specified_output op some

kernel density bandwidth c

IRI http://purl.obolibrary.org/obo/MOLSIM_001276
Description

A statistical analysis parameter that controls the smoothing in a Kernel Density Estimation (KDE) calculation. The kernel density bandwidth determines the trade-off between bias and variance in the resulting probability distribution. This is a key parameter for generating smooth density plots from discrete data. This is often set with the keyword bandwidth. (UNVERIFIED)

Sub Class Of statistical analysis parameter c

rst format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001049
Description

A file format from the Amber software that saves the state of a simulation, allowing it to be continued later. This is a general term for Amber restart files, which can be either text-based or binary. It contains the atomic coordinates, velocities, and simulation box dimensions at a specific point in time. (UNVERIFIED)

Sub Class Of AMBER restart format c

optimization of alchemical pathways c

IRI http://purl.obolibrary.org/obo/MOLSIM_000295
Description

Optimization of alchemical pathways refers to strategies and methods used to determine the optimal spacing and number of intermediate λ states in a multi-step TI (or FEP) calculation. The objective is typically to minimize the total statistical error (variance) in the calculated free energy difference for a given amount of computational effort, often by placing more λ points in regions where the integrand (⟨∂H/∂λ⟩) changes rapidly or exhibits high variance. This improves the efficiency of the free energy calculation. (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

NMR refinement c

IRI http://purl.obolibrary.org/obo/MOLSIM_001772
Description

NMR refinement NMR refinement is a computational process used to generate or improve a three-dimensional model of a molecule using experimental data from Nuclear Magnetic Resonance (NMR) spectroscopy. The method involves finding a structure, or an ensemble of structures, that is both stereochemically realistic and consistent with a set of experimental restraints, such as distances between atoms derived from the Nuclear Overhauser Effect. This process is essential for translating the raw data from an NMR experiment into a high-resolution atomic model. (UNVERIFIED)

Sub Class Of nuclear magnetic resonance c

Altona & Sundaralingam pucker analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000433
Description

The Altona & Sundaralingam pucker analysis is a classic and widely used method for describing the conformation of five-membered rings, such as the ribose sugar in nucleic acids. It defines the ring's pucker in terms of two parameters: the phase angle of pseudorotation (P) and the puckering amplitude (τm). For experts, this method provides a standardized and quantitative way to classify sugar puckers into conformational families like C2'-endo or C3'-endo. (UNVERIFIED)

Sub Class Of pucker analysis c

aug-pc-0 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000570
Description

The aug-pc-0 basis set augments Jensen's polarization consistent basis set of level 0 (pc-0) with diffuse functions ('aug-'). The pc-n family provides systematic convergence towards the complete basis set limit, with pc-0 being the smallest (often sub-minimal or minimal quality). Aug-pc-0 adds diffuse functions to this minimal starting point, useful if diffuse character is needed even in very low-cost calculations within this family. (UNVERIFIED)

Sub Class Of split-valence c

restraint potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001552
Description

A restraint potential is an artificial energy function that is added to the force field to guide a simulation. This potential adds an energy penalty when the system deviates from a user-defined geometric target, such as a specific distance, angle, or RMSD value. For experts, restraint potentials are a versatile tool used for a wide range of applications, from structure refinement against experimental data to enhanced sampling along a reaction coordinate. (UNVERIFIED)

Sub Class Of force field component c
Super Class Of

cpeinutil.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001626
Description

The cpeinutil.py script is a utility for preparing the input files for simulations that simultaneously model the effects of both constant pH and constant redox potential. It helps define the residues that can be titrated in both their protonation and redox states. This script is used to set up advanced simulations for studying complex electrochemical and pH-dependent processes in proteins. (UNVERIFIED)

Sub Class Of utility script c

linear interaction energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000264
Description

The Linear Interaction Energy (LIE) method estimates binding free energies based on the difference in the ensemble-averaged electrostatic and van der Waals interaction energies of the ligand with its surroundings between the bound and unbound ( solvated) states. It uses empirically determined scaling coefficients (α and β) to relate these energy changes to the binding free energy (ΔG bind = αΔ⟨E vdw ⟩+βΔ⟨E elec ⟩). This requires simulations of the ligand in the bound state and free in solution. (UNVERIFIED)

Sub Class Of endpoint free energy analysis c

pKa tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000240
Description

A computational tool specifically designed to predict the pKa values of ionizable groups (acidic or basic sites) within a molecule, typically amino acid residues in a protein or functional groups in a ligand. The pKa value indicates the pH at which a group is 50% protonated/deprotonated. These tools use various methods, ranging from simple empirical rules to sophisticated calculations involving continuum electrostatics (solving Poisson-Boltzmann equation) or QM methods, to estimate how the molecular environment shifts the intrinsic pKa of a group. PROPKA is a well-known example. (UNVERIFIED)

Sub Class Of structure preparation tool c
Super Class Of PROPKA c

free energy workflow c

IRI http://purl.obolibrary.org/obo/MOLSIM_000296
Description

Often abbreviated as FEW, this refers to an automated or semi-automated procedure or set of scripts designed to streamline the process of setting up, executing, and analyzing free energy calculations (like FEP or TI). Such workflows aim to manage the complexity of running multiple simulations across different states (lambda windows), handle job submission, check for convergence, and perform the final free energy estimation, improving reproducibility and efficiency. Examples exist for various MD packages (e.g., Amber-FEW, or general workflow tools). (UNVERIFIED)

Sub Class Of automation script c

cc-pV(Q+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000541
Description

The cc-pV(Q+d)Z basis set adds an extra optimized d-type polarization function to the standard cc-pVQZ basis set, primarily benefiting calculations involving second-row atoms (Na-Ar). It aims to provide benchmark-quality results for these elements by ensuring adequate flexibility in the d-function space at the quadruple-zeta level. (UNVERIFIED)

Sub Class Of split-valence c

thermostat collision frequency c

IRI http://purl.obolibrary.org/obo/MOLSIM_001178
Description

A specific thermostat coupling parameter used in stochastic thermostats like the Langevin integrator. It represents the effective frequency with which the simulated particles collide with fictitious solvent particles, controlling the rate of heat exchange. The thermostat collision frequency also influences the system's dynamics by introducing a frictional component. This is often set with the keyword gamma_ln. (UNVERIFIED)

Sub Class Of thermostat coupling parameter c

unit of molarity c

IRI http://purl.obolibrary.org/obo/UO_0000061
Description

A concentration unit which is a standard measure of the number of moles of a given substance per liter of solution.

Sub Class Of concentration unit c
Super Class Of molar based unit c

convergence metrics analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000138
Description

Convergence metrics are quantitative measures used to assess whether a simulation has reached a stable state or adequately sampled the relevant phase space, such that calculated properties are no longer systematically changing with further simulation time. Examples might include monitoring the stability of running averages, the fluctuation of key properties, or checking for sufficient transitions between states. Different metrics are appropriate for different types of simulations and analyses. (UNVERIFIED)

Sub Class Of convergence and uncertainty quantification analysis c

model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000006
Description

A simplified representation used to study a real-world system, such as a molecule or collection of molecules. In biomolecular simulation, it defines the components (atoms, residues) and their properties needed for computational analysis. This framework allows scientists to simulate and predict the system's behavior. (UNVERIFIED)

Super Class Of

optimal point charges c

IRI http://purl.obolibrary.org/obo/MOLSIM_000031
Description

Refers to water models, like the TIP series (Transferable Intermolecular Potential), where the partial charges assigned to the interaction sites are specifically optimized during parameter development to best reproduce a set of target experimental properties of liquid water (e.g., density, enthalpy of vaporization, dielectric constant). This optimization aims to improve the accuracy of simulations where water plays a crucial role as a solvent. The 'optimal' nature is relative to the properties targeted during parameterization. (UNVERIFIED)

Sub Class Of water type c

rDock c

IRI http://purl.obolibrary.org/obo/MOLSIM_002052
Description

rDock is a fast, open-source molecular docking program that can be used to dock small molecules against proteins and nucleic acids. Originally developed commercially as RiboDock, it utilizes a combination of stochastic and deterministic search algorithms. Its speed and open-source nature make it a popular tool for high-throughput virtual screening workflows preceding MD validation. (UNVERIFIED)

Sub Class Of docking tool c

solvation shell c

IRI http://purl.obolibrary.org/obo/MOLSIM_001496
Description

A solvation shell refers to the layer of solvent molecules that are in direct contact with or in the immediate vicinity of a solute molecule. These solvent molecules are often more ordered and have different dynamic properties compared to the bulk solvent further away. For experts, analyzing the structure and dynamics of the first and second solvation shells is crucial for understanding the details of solute-solvent interactions. (UNVERIFIED)

Sub Class Of solvation model c

experimental method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000304
Description

An experimental method is a procedure carried out in a laboratory to make observations and gather data about the real world. As a type of method, it provides real-world data, such as a structure from X-ray crystallography or dynamics from nuclear magnetic resonance, which serves as a crucial input for, or validation of, a computational simulation. The results from these methods, like NMR-derived residual dipolar couplings or NOE distance restraints, are often used to guide or verify simulation accuracy. This is described in publications and PDB files with terms like "EXPERIMENTAL DATA," "METHOD: X-RAY DIFFRACTION," or "NMR SPECTROSCOPY." (UNVERIFIED)

Sub Class Of method c
Super Class Of

topology and coordinate file preparation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001769
Description

This is the fundamental setup process in preparing a molecular simulation, where two distinct but essential files are created. The first is the topology file, which defines the molecule's chemical identity, including its atoms, bonds, and force field parameters. The second is the coordinate file, which provides the initial three-dimensional positions of all the atoms, serving as the starting snapshot for the simulation. (UNVERIFIED)

Sub Class Of preparation c

molecular simulation system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001887
Description

A molecular simulation system is the complete collection of all the molecules included in a computational model for a simulation. This includes the main molecule of interest, such as a protein, as well as all the surrounding solvent molecules, ions, and any other components. For experts, the precise definition of the system, including its size and composition, is a fundamental part of the simulation protocol that must be reported for reproducibility. (UNVERIFIED)

In Domain Of
Super Class Of

generically dependent continuant c

IRI http://purl.obolibrary.org/obo/BFO_0000031
Sub Class Of continuant c
In Domain Of is concretized as op
In Range Of concretizes op
Super Class Of information content entity c

angle bending potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001468
Description

The angle bending potential is the component of a force field that describes the energy required to bend a bond angle away from its ideal equilibrium value. This potential is typically modeled as a harmonic function that penalizes deviations from the reference angle defined for a specific triplet of atoms. This term is a primary determinant of the local geometry and shape of a molecule. (UNVERIFIED)

Sub Class Of force field component c

prep format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000613
Description

The AMBER prep format is a file that contains all the information needed to define a new molecular building block for use in an Amber simulation. It serves as a template for a non-standard residue, specifying its atoms, charges, chemical bonds, and 3D structure. These files, which can be written using either internal or Cartesian coordinates, are essential for creating the library files needed to simulate systems containing drugs, cofactors, or modified amino acids. (UNVERIFIED)

Sub Class Of molecular topology format c

backmapping modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_001771
Description

Backmapping is a modeling method used to convert a low-resolution, coarse-grained molecular model back into a high-resolution, all-atom representation. The procedure involves re-introducing the atoms that were grouped together in the coarse-grained model and then refining their positions to create a chemically realistic structure. For experts, backmapping is a crucial step for analyzing a specific conformation obtained from a long coarse-grained simulation with full atomistic detail. (UNVERIFIED)

Sub Class Of modeling method c

scattering analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001961
Description

A scattering analysis tool is a software utility that calculates theoretical scattering profiles, such as Small-Angle X-ray Scattering (SAXS), from atomic structures or simulation trajectories. It predicts the scattering intensity pattern that would be produced by the molecules in solution, allowing for direct comparison with experimental data. These tools are used to validate structural ensembles against low-resolution experimental measurements. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of

Pearson's correlation coefficient c

IRI http://purl.obolibrary.org/obo/MOLSIM_000112
Description

Pearson's correlation coefficient (often denoted as 'r') measures the strength and direction of the linear relationship between two continuous variables. It assumes the data are approximately normally distributed and calculates the covariance of the two variables divided by the product of their standard deviations. It is perhaps the most widely used measure of linear correlation. (UNVERIFIED)

Sub Class Of correlation coefficient c

momentum removal c

IRI http://purl.obolibrary.org/obo/MOLSIM_001774
Description

Momentum removal is a procedure applied periodically during a molecular dynamics simulation to prevent the entire system from drifting or spinning over time. It works by resetting the total linear and angular momentum of the system to zero at regular intervals, which can otherwise accumulate due to numerical inaccuracies in the integration algorithm. This is a standard housekeeping procedure that ensures the molecule of interest remains centered in the simulation box for easier analysis. (UNVERIFIED)

Sub Class Of preparation c

information content entity c

IRI http://purl.obolibrary.org/obo/IAO_0000030
Description

A generically dependent continuant that is about some thing.

Sub Class Of generically dependent continuant c
In Domain Of
In Range Of denoted by op
Restriction is about op some
Super Class Of

NMWiz c

IRI http://purl.obolibrary.org/obo/MOLSIM_001070
Description
  • A VMD plugin for visualizing and analyzing normal modes.

  • NMWiz is an add-on for VMD that helps visualize the different ways a molecule can vibrate or wiggle. As a type of visualization tool, Normal Mode Wizard (NMWiz) is a VMD plugin specifically designed for the interactive visualization and analysis of normal modes from calculations like Normal Mode Analysis (NMA) or Principal Component Analysis (PCA). It allows users to animate the collective motions described by eigenvectors and analyze their contributions to overall protein dynamics. This tool is referred to in VMD analysis workflows as "NMWiz," "Normal Mode Wizard," and is used to analyze eigenvector and eigenvalue data. (UNVERIFIED)

Sub Class Of molecular structure visualization tool c

generalized Born implicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001478
Description

The Generalized Born (GB) model is a widely used type of implicit solvent model that provides a fast, analytical approximation for the electrostatic component of the solvation free energy. It calculates an effective Born radius for each atom to represent its degree of burial or exposure to the solvent. For experts, GB models are popular for their computational efficiency, making them suitable for use in molecular dynamics simulations or large-scale energy calculations like MM/GBSA. (UNVERIFIED)

Sub Class Of implicit solvent model c
Super Class Of

bulk solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001481
Description

A bulk solvent model is a component of an experimental refinement model that accounts for the contribution of disordered solvent molecules to the experimental data, such as an X-ray diffraction pattern. It typically treats the solvent as a uniform continuum with a specific electron density, rather than modeling individual water molecules. For crystallographers, applying a bulk solvent correction is a standard and essential step for improving the quality of the electron density map for the macromolecule. (UNVERIFIED)

Sub Class Of experimental refinement model c

WatFour (WT4) coarse-grained c

IRI http://purl.obolibrary.org/obo/MOLSIM_001493
Description

The WatFour (WT4) model is a coarse-grained representation of water, commonly used with the MARTINI force field. In this model, a single interaction bead is used to represent four real water molecules, drastically reducing the number of particles in the system. For researchers simulating very large systems or very long timescales, this coarse-grained model is essential for making the simulation computationally feasible. (UNVERIFIED)

Sub Class Of water model force field c

paramfit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001609
Description

paramfit is a tool in the AmberTools suite used to derive or refine the dihedral angle parameters in a force field. It works by fitting the parameters of the torsional energy function to a target potential energy profile, which is typically calculated using high-level quantum mechanics. This tool is crucial for accurately modeling the rotational energy barriers and conformational preferences of new molecules or for improving existing force fields. (UNVERIFIED)

Sub Class Of parameter fitting tool c

molecular reconstruction from distribution functions analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000652
Description

An advanced analysis method that attempts to generate a three-dimensional model of a molecule or a molecular complex using statistical information about its structure. It takes one or more distribution functions, such as the pairwise distances between atoms obtained from a simulation or experiment, and uses an optimization algorithm to find a 3D structure that is consistent with those distributions. This technique can be used to build structural models from sparse or low-resolution data. (UNVERIFIED)

Sub Class Of structural analysis c

restraint parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001206
Description

A type of constraint and restraint parameter that specifies how artificial restraining potentials are applied to the system. These are used to guide the simulation towards a specific conformation or to incorporate experimental data. The restraint parameter settings are essential for biased simulations and structure refinement. These are often set with keywords like restraint_wt and restraintmask. (UNVERIFIED)

Sub Class Of constraint and restraint parameter c
Super Class Of

basis set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001504
Description

In quantum chemistry, a basis set is a collection of mathematical functions that are used as building blocks to describe the shape and location of electrons in a molecule. These functions, typically centered on each atom, are combined to construct the molecular orbitals that make up the molecule's electronic wavefunction. Choosing an appropriate basis set is a fundamental step that balances the desired accuracy against the available computational resources. (UNVERIFIED)

Sub Class Of QM/MM model component c
Super Class Of auxiliary basis set c

shift c

IRI http://purl.obolibrary.org/obo/MOLSIM_001367
Description

A base pair step parameter that describes the translational displacement of one base pair relative to the next along their short axes. A non-zero shift indicates a lateral sliding motion. It affects the alignment and stacking interactions between adjacent base pairs. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair step parameter c

induced dipole convergence criterion c

IRI http://purl.obolibrary.org/obo/MOLSIM_001263
Description

A polarizable force field parameter that specifies the convergence criterion for the self-consistent field calculation of the induced dipoles. A smaller induced dipole convergence criterion results in a more accurate calculation but may require more iterations. This is a key parameter for controlling the accuracy and performance of a polarizable simulation. This is often set with the keyword dipole_scf_tol. (UNVERIFIED)

Sub Class Of polarizable force field parameter c

PROPKA output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002059
Description

The PROPKA output format (often using a .pka extension) is a text-based file generated by the PROPKA software that records the predicted pKa values for titratable amino acid residues in a protein. It details the specific energetic contributions, such as desolvation penalties and hydrogen bonding effects, that led to the prediction, serving as a primary predictive data record for setting up pH-dependent simulations. (UNVERIFIED)

Sub Class Of prediction data format c

experimental data source c

IRI http://purl.obolibrary.org/obo/MOLSIM_000717
Description

Refers to data obtained directly from a specific laboratory experiment, which may not yet be (or ever be) deposited into a public database. This can include data reported in a scientific publication for which no separate database entry exists, or unpublished results from ongoing research. It emphasizes the direct experimental origin of the information. (UNVERIFIED)

Sub Class Of data source c
Super Class Of

secondary structure assignment analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000981
Description

Refers to the regular, local folding patterns occurring within the backbone of polymers like proteins or nucleic acids, such as alpha-helices and beta-sheets in proteins. These structures are defined by specific patterns of hydrogen bonds between backbone atoms and represent key building blocks of the molecule's overall three-dimensional architecture. While not a technique itself, analyzing secondary structure content and stability is often part of simulation validation and analysis (UNVERIFIED).

Sub Class Of structural analysis c
Super Class Of secondary structure changes analysis c

Gaussian fluctuation free energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000617
Description

The Gaussian fluctuation free energy method is a technique for estimating the free energy of a system based on the fluctuations observed in a molecular dynamics simulation. It assumes that the system's behavior can be approximated by a multi-dimensional Gaussian distribution around its average state. This method provides a computationally efficient way to estimate free energy differences, particularly for conformational changes, although its accuracy depends on how well the system's dynamics fit the underlying Gaussian assumption. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

block averaging analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000136
Description

Block averaging is a statistical technique used to estimate the standard error (uncertainty) of the mean for data obtained from a simulation time series, where successive data points are often correlated. The time series is divided into blocks, block averages are calculated, and the standard error is estimated from the variance of these block averages. This method accounts for correlations within the data, providing a more reliable uncertainty estimate than naive calculations assuming independence. (UNVERIFIED)

Sub Class Of convergence and uncertainty quantification analysis c

simulation model resolution c

IRI http://purl.obolibrary.org/obo/MOLSIM_001913
Description

Simulation model resolution refers to the level of detail used to represent the molecules in a simulation. This is a fundamental choice that determines the balance between the physical accuracy of the model and the computational cost of the simulation. For experts, the resolution can range from all-atom, where every atom is explicit, to coarse-grained, where groups of atoms are represented as single particles. (UNVERIFIED)

Sub Class Of model c
Super Class Of

simulation trajectory c

IRI http://purl.obolibrary.org/obo/MOLSIM_001081
Description

A simulation trajectory is the record of a molecule's motion over time, captured during a simulation. It consists of a time-ordered sequence of snapshots, or "frames," where each frame contains the 3D coordinates of all atoms at a specific instant. This trajectory is the primary output of a molecular dynamics simulation and is the raw data used for all subsequent analysis of the system's dynamic behavior. (UNVERIFIED)

Sub Class Of process output c

center of mass angle collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001833
Description

A center of mass angle collective variable measures the angle formed by the centers of mass of three distinct groups of atoms. This is useful for describing the large-scale orientation of entire protein domains or molecules relative to one another, smoothing out the rapid fluctuations of individual atoms. It provides a clear and stable measure of how large molecular components are arranged in a complex. (UNVERIFIED)

Sub Class Of collective variable c

contact map c

IRI http://purl.obolibrary.org/obo/MOLSIM_001855
Description

A contact map is a simplified 2D picture that shows which parts of a long molecule, like a protein, are touching each other in its folded 3D structure. It is a matrix where the rows and columns represent the amino acids in the protein sequence, and a dot is placed at a position (i, j) if residue i is in close contact with residue j. Contact maps provide a representation of a protein's fold that is independent of rotation and translation, making them useful for comparing structures and analyzing interactions. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of

handedness collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001843
Description

A handedness collective variable is a mathematical measure that quantifies the chirality, or "handedness," of a molecular structure, such as the left-handed versus right-handed twist of a helix. This variable provides a continuous value that can track a molecule's transition between different chiral states during a simulation. It is particularly useful for studying processes like the flipping of a DNA helix from a right-handed to a left-handed form. (UNVERIFIED)

Sub Class Of collective variable c

tilt orientation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000113
Description

A specific type of orientation descriptor that represents the cosine of the rotation of a vector orthogonal to a given axis. In membrane simulations, the TILT angle often describes how a helix is oriented relative to the membrane normal. This value is a key output of membrane protein analysis. (UNVERIFIED)

Sub Class Of orientation c

pype-resp.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001651
Description

This script is a Python-based workflow tool that automates the complex, multi-step process of calculating Restrained Electrostatic Potential (RESP) charges for a new molecule. It manages the sequence of required tasks, including generating input for a quantum mechanics program, running the calculation to get the electrostatic potential, and then running the fitting program to derive the final atomic charges. This script makes a technically demanding but crucial parameterization task more streamlined and reproducible. (UNVERIFIED)

Sub Class Of utility script c

LANL2DZ ECP c

IRI http://purl.obolibrary.org/obo/MOLSIM_000515
Description

LANL2DZ ECP is a widely used basis set combination for calculations involving heavier elements (typically third row and beyond). It employs the Los Alamos National Laboratory 'LANL2' effective core potential (ECP) to represent the core electrons implicitly, and uses a Double-Zeta (DZ) quality basis set (two basis functions per valence atomic orbital) to describe the valence electrons explicitly. This offers a computationally efficient approach for treating heavy atoms. (UNVERIFIED)

Sub Class Of split-valence c

correlation coefficient c

IRI http://purl.obolibrary.org/obo/MOLSIM_000111
Description

A type of statistical property that measures the strength and direction of the linear association between two variables. It is a value between -1 and 1, where 1 indicates a perfect positive correlation and -1 indicates a perfect negative correlation. The correlation coefficient is widely used to identify relationships between different properties in a simulation. This is often reported as r or rho. (UNVERIFIED)

Sub Class Of statistical property c
Super Class Of

random acceleration MD parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001235
Description

A type of enhanced sampling parameter that controls a random acceleration molecular dynamics (RAMD) simulation. These parameters define the strength of the randomly applied acceleration force. The random acceleration MD parameter settings are crucial for enhancing the exploration of conformational space. These are often set in a specific ramd section of the input file. (UNVERIFIED)

Sub Class Of enhanced sampling parameter c
Super Class Of RAMD boost strength c

divcon c

IRI http://purl.obolibrary.org/obo/MOLSIM_001618
Description

The divcon program is a quantum chemistry software package that implements the "divide-and-conquer" method to perform quantum mechanical calculations on extremely large molecules. It works by breaking a large protein or polymer into many small, overlapping fragments, performing QM calculations on each piece, and then combining the results to get the properties of the entire system. This approach makes it possible to study the electronic structure of systems containing thousands of atoms at a quantum mechanical level. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

chemical properties c

IRI http://purl.obolibrary.org/obo/MOLSIM_000149
Description

This criterion involves considering various calculated or experimentally known chemical properties of the ligands, such as molecular weight, logP (lipophilicity), solubility, polar surface area, and charge state at physiological pH. These properties influence not only binding but also pharmacokinetic behavior (ADME). Ligands with drug-like properties are often prioritized. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

OPC3-pol c

IRI http://purl.obolibrary.org/obo/MOLSIM_001492
Description

The OPC3-pol model is an advanced computer model for water that can adapt its electrical properties to its surroundings. It is a polarizable version of the highly accurate OPC3 three-site water model, meaning it can form induced dipoles in response to the local electric field. This provides a more physically realistic description of electrostatic interactions, which is important for accurately simulating systems with strong electric fields, such as those containing ions or charged proteins. (UNVERIFIED)

Sub Class Of water model force field c

ADF input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000866
Description

An ADF input file contains keywords and data blocks that instruct the Amsterdam Density Functional (ADF) software package on how to perform a quantum chemical calculation. It specifies details like the desired computational task (e.g., geometry optimization, frequency calculation), the molecular geometry, the choice of density functional and basis set, and other calculation parameters. The format uses specific ADF keywords and block structures (e.g., ATOMS, GEOMETRY). (UNVERIFIED)

Sub Class Of simulation input format c

CAMPARI c

IRI http://purl.obolibrary.org/obo/MOLSIM_002043
Description

CAMPARI is a simulation software package designed for performing molecular dynamics and Monte Carlo simulations of biological macromolecules. It is particularly renowned for its extensive implementation of advanced Monte Carlo sampling algorithms, implicit solvent models (like ABSINTH), and its utility in studying intrinsically disordered proteins. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

P-SHAKE algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000796
Description

Parallel SHAKE, another variation of the SHAKE algorithm optimized for parallel execution. Similar to M-SHAKE, it focuses on efficiently handling the communication and computation required for constraints that involve atoms distributed across multiple processors. The goal is to minimize the performance bottleneck caused by constraints in large-scale parallel simulations (UNVERIFIED).

Sub Class Of constraint algorithm c

infiniband c

IRI http://purl.obolibrary.org/obo/MOLSIM_001948
Description

InfiniBand is a high-performance networking technology that is the most common standard for connecting the computers in a high-performance computing cluster. It is a switched fabric interconnect designed to provide the extremely low communication delay (latency) and high data transfer rate (bandwidth) that are essential for parallel simulations to run efficiently across many nodes. The quality of the InfiniBand network is often the most critical factor determining the scalability and performance of a large simulation job. (UNVERIFIED)

Sub Class Of network interconnect c

cc-pCVDZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000534
Description

The cc-pCVDZ (correlation-consistent polarized Core-Valence Double-Zeta) basis set augments the standard cc-pVDZ basis with additional 'tight' functions (functions with large exponents). These extra functions are specifically designed to describe electron correlation effects involving the core electrons, which are neglected in valence-only correlation treatments. It is used when accurate treatment of core-valence correlation is necessary, at a higher cost than cc-pVDZ. (UNVERIFIED)

Sub Class Of split-valence c

mdgx c

IRI http://purl.obolibrary.org/obo/MOLSIM_001568
Description

The mdgx program is a versatile molecular simulation engine included in the AmberTools software suite. It is designed not only for running standard molecular dynamics but also for more specialized tasks like force field parameter fitting, free energy calculations, and testing new simulation algorithms. Its flexibility and focus on advanced methods make it a powerful tool for force field development and for performing non-standard computational experiments. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

group transfer free energy model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001521
Description

This is a simplified model that estimates the energy cost of moving a small chemical group, like a methyl group, from one environment to another, such as from water into a protein. A group transfer free energy model is an empirical approach that approximates the free energy of a process, like ligand binding, by summing up pre-calculated free energy contributions for transferring individual chemical functional groups. This provides a very fast, albeit approximate, way to estimate binding affinities or solvation energies without running full molecular simulations. (UNVERIFIED)

Sub Class Of model c

temperature control parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001173
Description

A type of thermodynamic ensemble parameter that specifies how the temperature of the system is maintained. This includes the choice of thermostat algorithm and the target temperature value. These temperature control parameter settings ensure that the simulation samples the correct canonical or isothermal-isobaric ensemble. These are often set with keywords like temp0 and ntt. (UNVERIFIED)

Sub Class Of thermodynamic ensemble parameter c
Super Class Of

PuReMD c

IRI http://purl.obolibrary.org/obo/MOLSIM_001599
Description

PuReMD is a molecular dynamics simulation engine specifically designed to run simulations with advanced polarizable force fields. It implements the polarizable multipole AMOEBA model, allowing for a more physically accurate description of electrostatic interactions than is possible with standard fixed-charge models. This focus makes it a powerful tool for high-accuracy simulations where detailed electrostatic effects, such as ion binding or protein-ligand interactions, are critical. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

lipid force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000008
Description

A force field specifically designed and parameterized for simulating lipid molecules and lipid bilayers, crucial components of cell membranes. It aims to accurately capture the unique properties of lipids, including their phase behavior and interactions with other molecules. Examples include LIPID14, LIPID17, and parameters within general force fields like CHARMM36m. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of

molecular mechanics generalized Born surface area tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000462
Description

A computational tool or script that implements the MM/GBSA (Molecular Mechanics / Generalized Born Surface Area) method for estimating free energy changes, analogous to MM/PBSA. The key difference is that MM/GBSA uses a Generalized Born (GB) model instead of the more computationally expensive Poisson-Boltzmann (PB) equation to calculate the electrostatic contribution to the solvation free energy. Like MM/PBSA, it combines MM energies, GB electrostatic solvation energy, and a SASA-based nonpolar term, averaged over simulation snapshots, providing a faster but often less accurate estimation of binding or solvation free energies compared to rigorous methods. (UNVERIFIED)

Sub Class Of endpoint free energy tool c
Super Class Of NModelGB c

polarizable Gaussian multipole force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000640
Description

A polarizable Gaussian multipole force field is a specific type of polarizable force field that represents the electrostatic properties of atoms using Gaussian functions to describe their charge distribution, including multipoles like dipoles and quadrupoles. This provides a more detailed and anisotropic description of atomic electrostatics compared to simple point charges. For experts, this is a sophisticated model that aims for very high accuracy in describing intermolecular interactions. (UNVERIFIED)

Sub Class Of polarizable force field c

software component c

IRI http://purl.obolibrary.org/obo/MOLSIM_000170
Description

A software component is a modular and reusable part of a larger software system that encapsulates a specific set of functions. Unlike a standalone program, a component is designed to be integrated into other software to provide specific capabilities, such as a library for mathematical calculations or a module for reading a specific file type. For developers and advanced users, these components are the building blocks used to construct or extend the functionality of simulation and analysis tools. (UNVERIFIED)

Sub Class Of software c
Super Class Of

distance matrix format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001040
Description
  • Common examples include:

    • General Text Formats: Often saved as plain text (.txt), comma-separated values (.csv), or a generic data (.dat) file for easy parsing and use in other programs.

    • Program-Specific Formats: Some simulation packages output the matrix in their own specific formats. For example, GROMACS can generate a distance matrix as an .xpm file, which is a portable pixmap image format.

    • Binary Formats: For efficiency, especially with large matrices, they may be saved in binary formats like NumPy's .npy format, which is common in Python-based analysis workflows.

  • A distance matrix in molecular simulation is a 2D data set that stores the pairwise distances between a selection of particles, such as atoms or residues, calculated from a simulation trajectory. It is a common form of analysis used to study conformational changes, structural stability, and the relative movement of different parts of a molecule. There is no single, standardized file extension for a distance matrix file. The format is often dependent on the analysis program that generates it or is saved in a general-purpose data format. (UNVERIFIED)

Sub Class Of molecular trajectory analysis format c
Super Class Of xpm format c

umbrella sampling restraint energy constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001225
Description

An umbrella sampling parameter that specifies the strength of the harmonic biasing potential applied in each umbrella sampling window. This force constant determines how strongly the system is restrained around the target value of the reaction coordinate for that window. The umbrella sampling restraint energy constant is a key parameter for ensuring sufficient sampling within each window. This is often set with the keyword anchor_strength. (UNVERIFIED)

Sub Class Of umbrella sampling parameter c

coordinate centering analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000670
Description

Coordinate centering is a structural analysis method, often performed as a pre-processing step, that translates the coordinates of a molecular system so that its center of mass is at the origin of the coordinate system. This is a standard procedure to ensure that the molecule remains in the center of the simulation box for easier analysis and visualization. For experts, this is a routine part of trajectory post-processing to remove the overall translational motion of the system. (UNVERIFIED)

Sub Class Of structural analysis c

stochastic dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_002004
Description

Stochastic dynamics is a simulation method that mimics the erratic motion of particles suspended in a fluid by applying random pushes and frictional drag. It modifies the standard molecular dynamics equations to include a friction term representing solvent viscosity and a random noise term representing thermal collisions. For experts, mathematically equivalent to integrating the Langevin equation, this method generates the canonical (NVT) ensemble and is often used to simulate implicit solvent effects or to effectively thermostat a system. (UNVERIFIED)

Sub Class Of molecular dynamics c

paired dihedral collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001838
Description

A paired dihedral collective variable is a coordinate that combines two different dihedral angles, often the phi and psi backbone angles of a protein, into a single analysis. This is most commonly used to generate a two-dimensional free energy map, known as a Ramachandran plot, which reveals the energetically allowed conformations of the protein backbone. This analysis is fundamental for understanding protein structure and flexibility. (UNVERIFIED)

Sub Class Of torsion collective variable c

lambda-scheduling free energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000410
Description

A lambda-scheduling free energy method is a technique where the alchemical transformation between two states is performed in a single, continuous simulation run. This is achieved by slowly and continuously changing the coupling parameter, lambda, according to a predefined schedule over the course of the simulation. For experts, this non-equilibrium approach can be computationally efficient, and the free energy can be estimated from the work performed during the transformation using fluctuation theorems. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

constant pH molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000416
Description

Constant pH molecular dynamics (CpHMD) is a specialized simulation method that allows the protonation states of acidic and basic residues in a molecule to change during the simulation. This is achieved by performing Monte Carlo moves that attempt to add or remove protons, with the acceptance of these moves being determined by the target pH of the simulation. For experts, CpHMD is an essential technique for studying proteins and processes whose structure and function are sensitive to pH. (UNVERIFIED)

Sub Class Of molecular dynamics c
Super Class Of continuous constant pH molecular dynamics c

MC-SCF c

IRI http://purl.obolibrary.org/obo/MOLSIM_000834
Description

Multi-Configurational Self-Consistent Field, a general category of multi-reference quantum chemistry methods. These methods determine the electronic wavefunction by optimizing both the shapes of the molecular orbitals and the mixing coefficients of multiple electron configurations simultaneously. CASSCF and RASSCF are specific types of MC-SCF calculations, differing in how the included configurations are selected (UNVERIFIED).

Sub Class Of multi-reference c

nuclear magnetic resonance c

IRI http://purl.obolibrary.org/obo/MOLSIM_000202
Description

Nuclear Magnetic Resonance (NMR) spectroscopy is an experimental technique used to determine protein structures, typically in solution, by exploiting the magnetic properties of atomic nuclei. It measures distances between specific pairs of atoms (primarily hydrogens using the Nuclear Overhauser Effect) and torsion angle restraints based on spin-spin coupling. These experimentally derived restraints are then used to calculate an ensemble of structures consistent with the data. (UNVERIFIED)

Sub Class Of protein structure determination method c
Super Class Of NMR refinement c

external field model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001458
Description

An external field model is a type of computational model that includes the effects of an external electric, magnetic, or other physical field on the molecular system. This allows researchers to simulate how molecules behave under specific environmental conditions, such as in the presence of a strong electric field across a membrane. For experts, this involves adding an extra energy term to the system's Hamiltonian that describes the interaction of the atoms with the applied field. (UNVERIFIED)

Sub Class Of model c
Super Class Of external point charge model c

SCF convergence criteria c

IRI http://purl.obolibrary.org/obo/MOLSIM_001254
Description

An SCF parameter that specifies the energy or density threshold for the self-consistent field (SCF) procedure to be considered converged. A smaller SCF convergence criteria results in a more accurate calculation but may require more iterations. This is a key parameter for controlling the accuracy of the QM calculation. This is often set with the keyword scfconv. (UNVERIFIED)

Sub Class Of SCF parameter c

permuted congruential random number generator algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001703
Description

A permuted congruential generator is a type of pseudo-random number generator that aims to improve the statistical properties of simpler linear congruential generators. It takes the output of a standard congruential generator and applies a permutation (shuffling) to its bits to break up correlations. For experts, this represents a class of generators that offers a good trade-off between computational simplicity and improved statistical quality. (UNVERIFIED)

Sub Class Of random number generator algorithm c

Packmol c

IRI http://purl.obolibrary.org/obo/MOLSIM_001603
Description

Packmol is a software package used to create an initial arrangement of molecules in a defined three-dimensional space, such as a simulation box. It works by packing different types of molecules together according to user-specified numbers and spatial constraints, avoiding unrealistic overlaps between atoms. For simulation experts, Packmol is an indispensable tool for building starting configurations for complex systems like liquid mixtures, solvated proteins, or lipid membranes. (UNVERIFIED)

Sub Class Of system packing and solvation tool c

core region charge c

IRI http://purl.obolibrary.org/obo/MOLSIM_001389
Description

A specific charge distribution descriptor that represents the total electric charge of a user-specified "core" group of atoms. This is often used in advanced simulation methods to define a central region of interest. The corecharge is a key parameter in some multi-region simulation setups. This is a specific output of adaptive QM/MM methods. (UNVERIFIED)

Sub Class Of charge distribution descriptor c

number of lambda windows c

IRI http://purl.obolibrary.org/obo/MOLSIM_001284
Description

A thermodynamic integration parameter that specifies the number of intermediate states (lambda windows) to be simulated along the alchemical transformation path. A larger number of lambda windows provides a more accurate numerical integration of the free energy but is computationally more expensive. This is a key parameter for controlling the accuracy of a TI calculation. This is often set by the number of input files for the different lambda values. (UNVERIFIED)

Sub Class Of thermodynamic integration parameter c

hydrogen bond interaction energies analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000955
Description

A specific type of interaction energy analysis focused on quantifying the energetic contribution of individual or collective hydrogen bonds within or between molecules. This can be estimated using specialized energy decomposition schemes, analysis of electrostatic and van der Waals terms between donor-hydrogen-acceptor atoms from a force field, or derived from quantum mechanical calculations. Quantifying H-bond energies helps understand their role in stabilizing structures and mediating molecular recognition. (UNVERIFIED)

Sub Class Of interaction energy analysis c

MDTraj c

IRI http://purl.obolibrary.org/obo/MOLSIM_001919
Description

MDTraj is a modern, open-source Python library designed for the fast and efficient analysis of molecular dynamics trajectories. It excels at reading and writing a very broad range of trajectory and topology file formats, making it highly interoperable. For scientists, MDTraj provides a fast and powerful toolkit for performing common structural and time-series analyses on simulation data. (UNVERIFIED)

Sub Class Of

OPLS-2005 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000762
Description

A significant update and expansion of the OPLS-AA force field parameter set, released around 2005. It included refined parameters for proteins, nucleic acids, and a wider range of organic functional groups compared to OPLS-2001. It remains a widely used parameter set within the OPLS family. (UNVERIFIED)

Sub Class Of protein force field c

angstrom c

IRI http://purl.obolibrary.org/obo/UO_0000019
Description

A length unit which is equal to 10 [-10] m.

Sub Class Of angstrom based unit c

clustering algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000253
Description

An algorithm used in data analysis to group a set of objects (e.g., molecular conformations, data points) such that objects in the same group (cluster) are more similar to each other than to those in other groups. Clustering algorithms use various criteria and methods (e.g., distance-based, density-based, hierarchical) to identify inherent structures or patterns within unlabeled data. They are essential tools for exploring and understanding complex datasets (UNVERIFIED).

Sub Class Of algorithm c
Super Class Of

leap analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_010028
Description

LEaP analysis is the diagnostic process performed by the AMBER LEaP program to validate the chemical and topological integrity of a molecular system during setup. It scans the assembled unit for critical errors such as unassigned force field parameters, non-integer net charges, or atoms with overlapping coordinates. This check is a mandatory quality control step to ensure that the generated topology and coordinate files are physically valid for molecular dynamics simulation. (UNVERIFIED)

Sub Class Of system setup modeling c

sequence database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000695
Description

A primary database that stores and organizes linear sequences of amino acids (for proteins) or nucleotides (for DNA/RNA). These databases are fundamental for comparative genomics, evolutionary studies, identifying functional motifs, and linking sequence to structure and function. Examples include GenBank for nucleic acids and UniProtKB for protein sequences. (UNVERIFIED)

Sub Class Of primary database c
Super Class Of

number of SMD stages c

IRI http://purl.obolibrary.org/obo/MOLSIM_001223
Description

A steered molecular dynamics parameter that specifies the total number of distinct stages or windows used in a staged SMD simulation protocol. This allows for the pulling to occur incrementally or for parameters to be changed between stages. The number of SMD stages is a key parameter for setting up complex pulling protocols. This is often set with the keyword nstage. (UNVERIFIED)

Sub Class Of steered molecular dynamics parameter c

truncated Newton conjugate gradient algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001739
Description

The truncated Newton conjugate gradient algorithm is a sophisticated energy minimization method suitable for very large molecular systems. It approximates the Newton-Raphson method by using the conjugate gradient algorithm to iteratively solve for the search direction, without needing to compute or store the full matrix of second derivatives (the Hessian). For experts, this method can offer faster convergence than standard conjugate gradient for complex energy landscapes. (UNVERIFIED)

Sub Class Of energy minimization algorithm c

nanosecond c

IRI http://purl.obolibrary.org/obo/UO_0000150
Description

A time unit which is equal to one thousandth of one millionth of a second or 10^[-9] s.

Sub Class Of second based unit c

LANL2DZ+1d1f c

IRI http://purl.obolibrary.org/obo/MOLSIM_000516
Description

This notation likely indicates the LANL2DZ ECP basis set augmented with one additional d-type polarization function and one additional f-type polarization function on the heavy atoms treated by the ECP. Adding these higher angular momentum functions provides more flexibility to the valence basis, improving the description of bonding environments for heavier elements compared to the unaugmented LANL2DZ. (UNVERIFIED)

Sub Class Of split-valence c

STRIDE algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_010012
Description

In protein structure, STRIDE (Structural identification) is an algorithm for the assignment of protein secondary structure elements given the atomic coordinates of the protein.

Sub Class Of secondary structure assignment algorithm c

saxs_rism c

IRI http://purl.obolibrary.org/obo/MOLSIM_001662
Description

The saxs_rism tool is a program that calculates a theoretical small-angle X-ray scattering (SAXS) profile for a molecule by combining its structure with a solvent description from the 3D-RISM theory. This approach accounts for the scattering contribution of the structured solvent layer around the molecule, which can be crucial for an accurate prediction of the final SAXS curve. It provides a computationally efficient alternative to calculating SAXS profiles from long, explicit solvent simulations. (UNVERIFIED)

Sub Class Of scattering analysis tool c

HyperChem hin format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000872
Description

The HIN (.hin) file is the native format for the HyperChem molecular modeling software package. It stores information about the molecular system, including atomic coordinates, connectivity, atom types according to specific force fields, and potentially other parameters or calculation settings used within HyperChem. It serves as both an input and a way to save the molecular setup. (UNVERIFIED)

Sub Class Of molecular structure format c

nucleic acid sequence database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000697
Description

A sequence database dedicated to archiving and providing access to DNA and RNA nucleotide sequences from various organisms, including genes, genomes, and transcripts. These databases are cornerstones of genomics and molecular biology research. GenBank, ENA, and DDBJ are major international examples. (UNVERIFIED)

Sub Class Of sequence database c

backbone DH fluctuations c

IRI http://purl.obolibrary.org/obo/MOLSIM_001866
Description

Backbone DH fluctuations are a measure of how much the backbone of a protein wiggles and changes shape during a simulation. It specifically quantifies the fluctuations in the dihedral angles (DH) of the protein's backbone, which describe the rotations around the chemical bonds that connect the amino acids. Analyzing these fluctuations provides a detailed picture of the protein's flexibility and dynamics that is independent of its overall tumbling motion. (UNVERIFIED)

Sub Class Of structural property c

NDDO c

IRI http://purl.obolibrary.org/obo/MOLSIM_000817
Description

Neglect of Diatomic Differential Overlap, an approximation scheme used in many all-valence-electron semi-empirical quantum methods like MNDO, AM1, and PMx. It simplifies calculations by neglecting interactions involving electron distributions arising from orbitals on two different atoms unless both orbitals belong to the same atom pair (i.e., it keeps one- and two-center terms). This approximation is less severe than CNDO or INDO, generally leading to better accuracy (UNVERIFIED).

Sub Class Of all-valence-electron restricted c
Super Class Of

triclinic box c

IRI http://purl.obolibrary.org/obo/MOLSIM_002027
Description

A triclinic box is the most general geometric shape for a periodic simulation cell, defined by three vectors of arbitrary length and mutual angles. This flexibility allows it to represent any crystal lattice system or to optimize the solvent volume around a solute by fitting the box shape more closely than a standard cube. For experts, while offering maximum generality, using a triclinic box can complicate domain decomposition and typically requires the box vectors to satisfy specific skew conditions (e.g., maintaining the box matrix in a triangular form) to be compatible with standard minimum image convention algorithms. (UNVERIFIED)

Sub Class Of box type c

SAMSON c

IRI http://purl.obolibrary.org/obo/MOLSIM_001930
Description

SAMSON is a software platform for computational nanoscience that allows users to build, visualize, and simulate molecular systems. It features a modular architecture, enabling users and developers to extend its functionality with new components, called "SAMSON Elements," for specific modeling or simulation tasks. For researchers, SAMSON provides an extensible and interactive environment for integrating different computational methods and exploring molecular designs. (UNVERIFIED)

Sub Class Of software suite c

aug-cc-pV9Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000550
Description

The aug-cc-pV9Z basis sets augment the already extremely large cc-pV9Z sets with diffuse functions. These are highly specialized research basis sets used almost exclusively for theoretical studies on atomic or diatomic systems to explore the fine details of convergence towards the complete basis set limit for properties sensitive to diffuse electron density. They are computationally impractical for molecular calculations. (UNVERIFIED)

Sub Class Of split-valence c

xml format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000914
Description

XML (Extensible Markup Language) is a flexible, text-based markup language used to encode data in a format that is both human-readable and machine-readable. It uses user-defined tags to structure data hierarchically with elements and attributes. XML is widely used for data exchange on the web and in various scientific domains, including bioinformatics (e.g., CML). (UNVERIFIED)

Sub Class Of general data format c
Super Class Of cml format c

ion system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001903
Description

An ion system is a molecular simulation system where the primary focus is on the behavior of ions, typically in an aqueous solution. These simulations are used to study the fundamental properties of electrolyte solutions, such as ion pairing and solvation structure. For experts, these simple systems are often used to develop and validate the force field parameters for ions and water models. (UNVERIFIED)

Sub Class Of molecular simulation system c

coarse-grained worm-like chain* c

IRI http://purl.obolibrary.org/obo/MOLSIM_000987
Description

The coarse-grained worm-like chain model represents a polymer (like DNA or a flexible protein segment) as a semi-flexible continuous filament characterized by its contour length and persistence length (a measure of stiffness). In simulations, this is often implemented as a chain of connected beads with potentials chosen to reproduce the statistical properties of the theoretical worm-like chain. This approach efficiently captures the large-scale conformational behavior of long, flexible polymers. (UNVERIFIED)

Sub Class Of coarse-grained molecular dynamics c

Jensen-Shannon divergence analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000118
Description

Jensen-Shannon Divergence (JSD) is a method for measuring the similarity between two probability distributions, based on the Kullback-Leibler (KL) divergence. Unlike KL divergence, JSD is symmetric (JSD(P||Q) = JSD(Q||P)) and always has a finite value. It essentially measures the divergence of each distribution from the average of the two distributions. (UNVERIFIED)

Sub Class Of similarity and divergence analysis c

number of bonds collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001842
Description

A number of bonds collective variable is a coordinate that counts the number of specific chemical bonds that exist at any given moment in a simulation. This variable is only meaningful when using a reactive force field that allows chemical bonds to form and break. It serves as a simple and direct way to track the progress of a chemical reaction by monitoring the creation or destruction of key covalent bonds. (UNVERIFIED)

Sub Class Of collective variable c

GAMESS input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000868
Description

A GAMESS input file provides instructions to the GAMESS (US) quantum chemistry program, structured into distinct groups identified by keywords starting with '$' (e.g., $CONTRL, $BASIS, $DATA). Within these groups, keywords specify the type of calculation (e.g., RUNTYP=OPTIMIZE), the theoretical method (e.g., SCFTYP=RHF), basis set, molecular geometry, and other computational details. The format follows specific Fortran namelist-like conventions. (UNVERIFIED)

Sub Class Of simulation input format c

umbrella sampling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000210
Description

A specific simulation execution technique used to enhance sampling along a chosen reaction coordinate or order parameter, often for calculating the potential of mean force (PMF) or free energy profile associated with a process like ligand unbinding or a conformational change. It involves running multiple simulations, each confined ('biased') by a potential (the 'umbrella') to sample a specific window along the coordinate, with subsequent analysis required to unbias the results and reconstruct the overall profile. It falls under the category of enhanced sampling methods. (UNVERIFIED)

Sub Class Of execution c

thermodynamic integration similarity calculation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000281
Description

A type of utility program used to help set up a thermodynamic integration (TI) free energy calculation. It assesses the similarity between the starting and ending molecules of a planned alchemical transformation, often by calculating the overlap of their potential energies. The results from this tool are used to design an optimal pathway with an appropriate number of intermediate steps, which is crucial for ensuring the TI calculation will be accurate and reliable. (UNVERIFIED)

Sub Class Of system setup tool c
Super Class Of

AMBER crd format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000963
Description
  • Amber's standard ASCII coordinate trajectory file format.

    The "Coordinates Data Set" or "COORDS" in Amber is not a file format, but rather a specialized, in-memory data structure used by the cpptraj analysis program. It is designed to efficiently hold and manipulate sets of coordinate frames (i.e., structures) loaded from trajectory files during an analysis session. Since the COORDS data set is an internal, in-memory representation, it does not have a file extension.

    Users can interact with it using file-based commands:

    Loading: users populate a COORDS data set by loading data from standard Amber file formats, such as restart files (.rst7), PDB files, or trajectory files (.nc, .mdcrd), using the loadcrd command.

    Saving: users write the contents of a COORDS data set to a file using the crdout command. The output will be in a standard coordinate or trajectory format (e.g., Amber restart, PDB, etc.), not a special "COORDS format."

  • This refers to the file format used by Amber to store atomic coordinates, commonly the ASCII .inpcrd file (or sometimes .crd). It contains a list of coordinates, usually read alongside a topology (.prmtop) file, and may optionally include periodic box information. The binary/ASCII restart file (.rst7) format also inherently contains coordinates and is often used as a coordinate input. (UNVERIFIED)

Sub Class Of crd format c

barostat algorithm parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001180
Description

A pressure control parameter that specifies which algorithm is used to regulate the system's pressure. Different barostat algorithms, such as Berendsen, Parrinello-Rahman, or Monte Carlo, have different effects on the system's volume fluctuations and statistical properties. The choice of barostat algorithm parameter is a critical decision for NPT simulations. This is often set with the keyword ntp in AMBER or pcoupl in GROMACS. (UNVERIFIED)

Sub Class Of pressure control parameter c

coarse-grained elastic mesoscopic model* c

IRI http://purl.obolibrary.org/obo/MOLSIM_000986
Description

This refers to a type of coarse-grained model, often applied to very large biomolecular complexes, where groups of atoms or even entire residues are represented as beads connected by simple elastic (harmonic) springs. The parameters are often derived from elastic network model concepts, focusing on capturing the overall shape, flexibility, and large-scale collective motions of the assembly rather than chemical details. These models are computationally efficient for studying mesoscopic dynamics. (UNVERIFIED)

Sub Class Of coarse-grained molecular dynamics c

planned process c

IRI http://purl.obolibrary.org/obo/OBI_0000011
Description

A process that realizes a plan which is the concretization of a plan specification.

Sub Class Of process c
In Domain Of has_specified_output op
In Range Of is_specified_output_of op
Super Class Of

path image c

IRI http://purl.obolibrary.org/obo/MOLSIM_001766
Description

A path image is a single, discrete snapshot or structure that represents one point along a continuous pathway between two molecular states. A collection of these images is used in methods like the Nudged Elastic Band (NEB) to map out a reaction path or conformational transition. For experts, each image is a full coordinate set that is optimized to lie on the minimum energy path connecting the reactant and product. (UNVERIFIED)

Sub Class Of model c

multi-step approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000292
Description

The multi-step approach is the standard implementation strategy for Thermodynamic Integration (and FEP), where the total transformation pathway from λ=0 to λ=1 is divided into multiple, smaller, discrete steps or 'windows' (λ0, λ1, ..., λN). Separate simulations are typically run at each intermediate λi value to calculate the necessary ensemble averages (⟨∂H/∂λ⟩ λ i for TI). This discretization improves numerical stability and ensures adequate sampling across the entire transformation path compared to attempting it in a single step. (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

root-mean-square inner product c

IRI http://purl.obolibrary.org/obo/MOLSIM_001809
Description

The root-mean-square inner product is a mathematical measure used to compare the similarity of two sets of collective motions, for example, from two different simulations. It quantifies the overlap between the dominant modes of motion (eigenvectors) derived from Principal Component Analysis of two different trajectories. A high value, approaching 1, indicates that the two simulations have sampled a very similar space of essential dynamics, which is a powerful way to assess convergence or compare the dynamics of two different systems. (UNVERIFIED)

Sub Class Of statistical property c

non-bonded potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_000430
Description

The non-bonded potential describes the forces between atoms that are not directly connected by chemical bonds, such as the attraction or repulsion between different molecules. This component of a force field is typically composed of two terms: the van der Waals potential for short-range interactions and the electrostatic potential for longer-range charge interactions. The accurate representation of these non-bonded interactions is critical for correctly modeling almost all biological phenomena, from protein folding to drug binding. (UNVERIFIED)

Sub Class Of force field component c
Super Class Of

standard deviation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001414
Description

A type of statistical property that measures the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean, while a high value indicates that the values are spread out over a wider range. It is a fundamental measure of the variability of a calculated property. This is often abbreviated as sd or stdev. (UNVERIFIED)

Sub Class Of statistical property c

central processing unit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001940
Description

The central processing unit (CPU) is the primary, general-purpose processor in a computer that handles a wide variety of tasks. In a simulation context, the CPU manages the overall workflow, handles data input and output, and performs any parts of the calculation that are not easily run in parallel. While GPUs now handle the bulk of the force calculations, a fast CPU is still essential for the overall performance of the simulation and for all subsequent data analysis. (UNVERIFIED)

Sub Class Of processing unit c

atom triplet angle calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000924
Description

A fundamental local structure analysis that calculates the angle formed by three specified atoms (A-B-C), centered on atom B. These bond angles are essential parameters defining the geometry and shape of molecules. Monitoring their values and distributions during simulations reveals information about molecular flexibility and conformational preferences around specific centers. (UNVERIFIED)

Sub Class Of local structure analysis c

equilibration c

IRI http://purl.obolibrary.org/obo/MOLSIM_000209
Description

A crucial phase in simulation preparation, following initial setup and minimization/thermalization, where the system is simulated under the target ensemble conditions (e.g., NVT or NPT) for a period to allow it to relax and reach a stable state. Key properties like temperature, pressure, density, potential energy, and RMSD are monitored to ensure the system is well-equilibrated before starting the production simulation intended for data collection. This phase allows the system to 'forget' its initial, potentially artificial starting configuration. (UNVERIFIED)

Sub Class Of preparation c

MM-PBSA/GBSA parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001278
Description

A type of free energy analysis parameter that controls a Molecular Mechanics / Poisson-Boltzmann (or Generalized Born) Surface Area calculation. These parameters define the settings for the continuum solvent model and the surface area calculation. The MM-PBSA/GBSA parameter settings are crucial for obtaining reliable binding free energy estimates. These are often set in the input file for MMPBSA.py. (UNVERIFIED)

Sub Class Of free energy analysis parameter c
Super Class Of

Gaussian electrostatic model force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000681
Description

The Gaussian electrostatic model (GEM) force field is a type of polarizable force field that uses a combination of permanent and induced multipoles represented by Gaussian functions to describe the electrostatics. It aims to provide a highly accurate representation of the molecular charge distribution and its response to the environment. For force field developers, GEM is an advanced model for capturing the details of electrostatic interactions with high fidelity. (UNVERIFIED)

Sub Class Of polarizable force field c

data entitydata item c

IRI http://purl.obolibrary.org/obo/IAO_0000027
Description

An information content entity that is intended to be a truthful statement about something (modulo, e.g., measurement precision or other systematic errors) and is constructed/acquired by a method which reliably tends to produce (approximately) truthful statements.

Sub Class Of information content entity c
Super Class Of

Poisson-Boltzmann energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001322
Description

A specific type of polar solvation energy calculated by solving the Poisson-Boltzmann equation, which models the solute as a low-dielectric medium in a high-dielectric solvent continuum. This method provides a physically detailed description of electrostatic solvation effects. The Poisson-Boltzmann energy is a primary output of MM/PBSA calculations. This result is often reported as PB or EPB energy. (UNVERIFIED)

Sub Class Of solvation free energy c

Shrake-Rupley algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_010016
Description

The Schrake-Rupley algorithm is a classic method for calculating the solvent accessible surface area (SASA) of a molecule by "rolling" a probe sphere over the atoms' van der Waals surfaces.

Sub Class Of surface area calculation algorithm c

xleap c

IRI http://purl.obolibrary.org/obo/MOLSIM_001584
Description

Xleap is the graphical interface for the LEaP program in the AmberTools software suite, used to interactively build molecular systems for simulation. It allows users to load structures, apply force fields, add solvent and ions, and save the final topology and coordinate files required by the AMBER simulation engine. For users, xleap provides a visual environment to perform the essential system preparation steps in a guided, command-line driven manner. (UNVERIFIED)

Sub Class Of topology and coordinate generation tool c

Berendsen thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000046
Description

A thermostat algorithm that weakly couples the system to an external heat bath by rescaling particle velocities at each step based on the difference between the current instantaneous temperature and the target temperature. While computationally simple and effective at bringing the system to the target temperature, it does not rigorously generate configurations from the correct canonical (NVT) ensemble. It is often used for equilibration phases rather than production simulations (UNVERIFIED).

Sub Class Of thermostat algorithm c

protein-RNA system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001901
Description

A protein-RNA system is a specific type of protein complex system composed of one or more proteins interacting with an RNA molecule. These complexes, known as ribonucleoproteins, are central to a vast range of cellular processes, including protein synthesis by the ribosome and RNA splicing. For experts, simulating these systems is essential for understanding the intricate interplay between proteins and RNA that governs much of cell biology. (UNVERIFIED)

Sub Class Of protein complex system c

SINDO c

IRI http://purl.obolibrary.org/obo/MOLSIM_000824
Description

Symmetrically orthogonalized INDO, an all-valence-electron semi-empirical method based on the INDO level of approximation but employing a specific orthogonalization procedure for the atomic orbitals. This procedure aimed to improve the theoretical consistency and performance compared to earlier INDO versions like MINDO. It focuses on refining the INDO framework for better property prediction (UNVERIFIED).

Sub Class Of all-valence-electron restricted c

partial nudged elastic band c

IRI http://purl.obolibrary.org/obo/MOLSIM_000406
Description

The partial nudged elastic band (PNEB) method is a variant of the NEB algorithm used to find a minimum energy path when only a portion of the system is undergoing a significant change. It works by optimizing a chain of intermediate structures, but only for a selected subset of atoms, while the rest of the system is allowed to relax at each step. This approach is computationally more efficient than a full NEB calculation and is useful for studying localized events, such as a side-chain rotation or a reaction in an enzyme's active site. (UNVERIFIED)

Sub Class Of nudged elastic band c

UnitCell c

IRI http://purl.obolibrary.org/obo/MOLSIM_001583
Description

UnitCell tool is a software function for building crystallographic structures by applying symmetry information contained within an input coordinate file. It reads the symmetry operators from a PDB or mmCIF file to reconstruct the complete repeating unit of a crystal from just the asymmetric part. Users can employ this tool to generate the full unit cell, expand it into multiple adjacent cells to visualize crystal packing, or build specific assemblies defined by either crystallographic or non-crystallographic symmetry. (UNVERIFIED)

Sub Class Of crystallographic build tool c

cavity offset c

IRI http://purl.obolibrary.org/obo/MOLSIM_001281
Description

An MM-PBSA/GBSA parameter that specifies an offset to correct the non-polar free energy contribution. This is an empirical parameter used to improve the accuracy of the non-polar solvation energy calculation. The cavity offset is a key parameter for tuning the MM/PBSA or MM/GBSA calculation. This is often set with the keyword cavity_offset. (UNVERIFIED)

Sub Class Of MM-PBSA/GBSA parameter c

non-bonded method parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001186
Description

A non-bonded interaction parameter that specifies the method used to handle non-bonded interactions, such as using a simple cutoff or a switching function. This parameter defines the functional form of the potential at the cutoff distance. The choice of non-bonded method parameter can affect the energy conservation and stability of the simulation. This is often set with keywords like vdw-method. (UNVERIFIED)

Sub Class Of non-bonded interaction parameter c

intrinsic reaction coordinate analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000582
Description

A coordinate analysis technique that defines the reaction path as the minimum energy path connecting reactants and products through the transition state on the potential energy surface. This path follows the steepest descent direction (in terms of energy) down from the transition state towards both the reactant and product basins. It is considered a more rigorous definition of the reaction pathway at zero Kelvin. (UNVERIFIED)

Sub Class Of coordinate analysis c
Super Class Of intrinsic reaction coordinate maximum analysis c

ligand charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000204
Description

A computational methodology or protocol used to assign partial atomic charges to the atoms of a small molecule (ligand), typically for use within a classical molecular mechanics force field during simulations of its interaction with a biomolecule (like a protein or nucleic acid). Since electrostatic interactions are crucial for molecular recognition and binding affinity, accurate and consistent charge assignment is critical. Different models (e.g., RESP, AM1-BCC, Mulliken, Löwdin) exist, often aiming to reproduce the quantum mechanically derived electrostatic potential around the molecule or fit to experimental data, with varying levels of theory, complexity, and computational cost. (UNVERIFIED)

Sub Class Of model c
Super Class Of

native contacts c

IRI http://purl.obolibrary.org/obo/MOLSIM_001347
Description

A type of structural property that quantifies the number of specific atom-atom contacts that are present in a reference "native" structure but may be lost in other conformations. It is often used as a reaction coordinate to monitor the progress of protein folding or unfolding. A decrease in native contacts indicates a loss of the native structure. This value is a common output of folding analysis scripts. (UNVERIFIED)

Sub Class Of structural property c

Powell's algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001721
Description

Powell's method is a type of optimization algorithm that can find the local minimum of a function without requiring the calculation of its derivatives (gradients). It works by iteratively performing line searches along a set of directions, which are updated during the optimization. For experts, Powell's method is a useful option for minimizing functions where the gradient is not available or is unreliable. (UNVERIFIED)

Sub Class Of optimization algorithm c

ICOSA algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001743
Description

The ICOSA algorithm is a computational method used to rapidly calculate the solvent-accessible surface area (SASA) of a molecule. It works by placing a sphere of dots, arranged in a pattern based on an icosahedron, around each atom and then counting how many of these dots are not covered by neighboring atoms. This numerical approach provides a fast and efficient way to estimate the molecular surface area, a property that is crucial for implicit solvent models and for analyzing a molecule's exposure to its environment. (UNVERIFIED)

Sub Class Of surface area calculation algorithm c

similarity and divergence analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000351
Description

Similarity and divergence measures are mathematical quantities used to compare two probability distributions, datasets, or sequences, quantifying how similar or different they are. Similarity measures indicate closeness (higher values mean more similar), while divergence measures quantify the difference or 'distance' between them (higher values mean more different). These are used in various fields including information theory, statistics, and bioinformatics (e.g., comparing conformational ensembles). (UNVERIFIED)

Sub Class Of statistical analysis c
Super Class Of Jensen-Shannon divergence analysis c

vector analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000683
Description

Vector analysis in this context refers to a class of structural analysis methods that focus on the properties of vectors defined within a molecule, such as the vector along a chemical bond or the vector normal to a plane. This can include calculating the orientation of these vectors over time or the angle between them. For experts, vector analysis is used to quantify the orientation and rotational dynamics of specific molecular components. (UNVERIFIED)

Sub Class Of structural analysis c

edgembar c

IRI http://purl.obolibrary.org/obo/MOLSIM_001565
Description

Edgembar is a specialized software tool for performing free energy calculations from simulation data, particularly focused on analyzing the edges of alchemical networks. It utilizes the Multistate Bennett Acceptance Ratio (MBAR) method to optimally combine data from multiple simulation states. This tool is valuable for large-scale relative binding free energy campaigns where efficient handling of complex transformation networks is required. (UNVERIFIED)

Sub Class Of alchemical analysis tool c

stochastic dynamics integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_002026
Description

A numerical algorithm that incorporates random noise and frictional drag directly into the equations of motion to mimic the effect of a solvent. It integrates the Langevin equation (or similar stochastic differential equations) to simultaneously propagate the system and control its temperature. For experts, this integrator (often GROMACS' sd integrator) acts as a local thermostat, ensuring correct canonical ensemble sampling without the synchronization artifacts sometimes seen with global thermostats like Berendsen or Nosé-Hoover. (UNVERIFIED)

Sub Class Of integration algorithm c

ndfes-PrepareAmberData.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001641
Description

This script is a utility designed to convert simulation output files from the AMBER software package into a format that can be used by the ndfes free energy analysis toolkit. It reads AMBER trajectory and output files and extracts the necessary data, such as the values of collective variables over time. This is an essential interoperability step for analyzing AMBER simulations with the ndfes suite of tools. (UNVERIFIED)

Sub Class Of utility script c

MINDO c

IRI http://purl.obolibrary.org/obo/MOLSIM_000815
Description

Modified Intermediate Neglect of Differential Overlap, a family of all-valence-electron semi-empirical methods (e.g., MINDO/3) developed as successors to INDO. They aimed for better accuracy, particularly in predicting heats of formation for organic molecules, through refined approximations and parameterization. Like INDO, they retain some one-center electron interactions neglected in CNDO (UNVERIFIED).

Sub Class Of INDO c

thermodynamic ensemble parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001172
Description

A type of simulation parameter that defines the statistical ensemble (e.g., NVT, NPT) in which the simulation is performed. These parameters control the macroscopic properties like temperature and pressure that are held constant during the run. The choice of thermodynamic ensemble parameter is crucial for mimicking specific experimental conditions. These are often set with keywords like itemp or ipres. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

structural check analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000980
Description

A form of conformation validation that involves examining various geometric features of a biomolecular structure beyond just backbone torsion angles. This may include verifying appropriate bond lengths, bond angles, checking for unrealistic close contacts between atoms (clashes), or assessing other stereochemical parameters against standard values. It serves as a general quality control measure for the overall molecular model (UNVERIFIED).

Sub Class Of conformation validation analysis c

MPICH c

IRI http://purl.obolibrary.org/obo/MOLSIM_002048
Description

MPICH is a highly efficient, open-source implementation of the Message Passing Interface (MPI) standard. It serves as both a widely used standalone MPI library for high-performance computing and as the foundational framework for many other vendor-specific or derivative MPI implementations (such as Intel MPI and MVAPICH). For biomolecular simulations on distributed-memory supercomputers, MPICH provides the essential message-passing infrastructure required for large-scale parallelization. (UNVERIFIED)

Sub Class Of library c

Broyden-Fletcher-Goldfarb-Shanno algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001719
Description

The Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm is a powerful iterative method for solving unconstrained nonlinear optimization problems. It is a "quasi-Newton" method because it approximates the inverse of the Hessian matrix of second derivatives, which would be computationally expensive to calculate directly. For experts, BFGS is a highly efficient and widely used algorithm for geometry optimization in quantum chemistry calculations. (UNVERIFIED)

Sub Class Of optimization algorithm c
Super Class Of limited-memory BFGS algorithm c

pi helix c

IRI http://purl.obolibrary.org/obo/MOLSIM_001788
Description

The pi-helix is a rare and wide spiral shape found in proteins that is less stable than the common alpha-helix. It is a secondary structure motif characterized by a repeating hydrogen bond between the backbone carbonyl of a residue and the backbone amide of the residue five positions down the chain (i → i+5). Because its internal packing is less favorable, the pi-helix is very rare and is usually found only as a short, single-turn insertion within other helical structures. (UNVERIFIED)

Sub Class Of helix c

thermodynamic integration with linear extrapolation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000299
Description

Thermodynamic Integration with linear extrapolation likely refers to an approach where the integrand ⟨∂H/∂λ⟩ λ is calculated only at or very near the endpoints (λ=0 and λ=1). The total free energy difference (ΔG) is then estimated by assuming the integrand varies linearly between these two points and calculating the integral of this linear function (equivalent to the trapezoidal rule with only the endpoints). This is a strong approximation, only accurate if the integrand is indeed nearly linear across the entire path. (UNVERIFIED) (...)

Sub Class Of thermodynamic integration extrapolation approach c

3D-RISM parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001287
Description

A type of free energy analysis parameter that controls a 3D Reference Interaction Site Model (3D-RISM) calculation. These parameters define the convergence criteria and cutoffs for the integral equation theory calculation. The 3D-RISM parameter settings are crucial for obtaining a converged and accurate solvation free energy. These are often set in the input file for the 3D-RISM program. (UNVERIFIED)

Sub Class Of free energy analysis parameter c
Super Class Of

weighted thermodynamic perturbation theory analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000421
Description

Weighted thermodynamic perturbation theory is a free energy calculation method that aims to improve the efficiency of standard free energy perturbation (FEP). It uses a weighting function to optimize the sampling and improve the convergence of the free energy calculation, especially when there is poor overlap between the states. For experts, this represents an advanced technique to make FEP calculations more robust and efficient. (UNVERIFIED)

Sub Class Of free energy calculation analysis c
Super Class Of generalized weighted thermodynamic perturbation theory c

path integral molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000654
Description

Path integral molecular dynamics is an advanced simulation method that includes quantum mechanical effects for the atomic nuclei, not just the electrons. This is important for accurately simulating systems with light atoms like hydrogen, where effects like tunneling and zero-point energy can be significant. For experts, PIMD is a method based on the Feynman path integral formulation of quantum mechanics, where each quantum particle is represented by a ring polymer of classical particles, allowing for the calculation of quantum statistical properties. (UNVERIFIED)

Sub Class Of molecular dynamics c

OPLS-AA/M c

IRI http://purl.obolibrary.org/obo/MOLSIM_001983
Description

OPLS-AA/M is a specialized modification of the OPLS-AA all-atom force field specifically optimized for protein simulations. It incorporates refined backbone torsional parameters and adjustments to the side-chain energetics to improve the balance between helical and extended secondary structures. For experts, this parameter set addresses known biases in the earlier OPLS-AA/L model, providing a more accurate description of peptide folding equilibria and conformational dynamics in solution. (UNVERIFIED)

Sub Class Of OPLS-AA c

quantum chemistry format c

IRI http://purl.obolibrary.org/obo/MOLSIM_010022
Description

A quantum chemistry format is a standardized data structure used to store the detailed results of electronic structure calculations performed by quantum mechanics software. These files typically contain mathematical descriptions of molecular orbitals, electron densities, basis sets, and electrostatic potentials. They serve as the primary means of transferring complex quantum mechanical data to visualization software or other computational tools for further analysis. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

Ahlrichs VTZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000579
Description

Ahlrichs VTZ (Valence Triple-Zeta) generally denotes a basis set from the Ahlrichs group providing three basis functions for each valence atomic orbital ('Triple-Zeta'), offering more flexibility than a VDZ set. Unless polarization is explicitly specified (e.g., as VTZP or TZVP), VTZ often implies the unpolarized version. Modern Ahlrichs triple-zeta basis sets like def2-TZVP always include polarization functions. (UNVERIFIED)

Sub Class Of split-valence c

protein force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000009
Description

A force field specifically designed and parameterized for simulating proteins and peptides, focusing on accurately representing amino acid properties and polypeptide chain behavior. These are crucial for studying protein folding, dynamics, and interactions. Many different protein force fields exist, often differing in their parameterization philosophy and target data. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of

degree c

IRI http://purl.obolibrary.org/obo/UO_0000185
Description

A plane angle unit which is equal to 1/360 of a full rotation or 1.7453310^[-2] rad.

Sub Class Of degree based unit c

CP2K c

IRI http://purl.obolibrary.org/obo/MOLSIM_000775
Description

An open-source quantum chemistry and solid-state physics software package designed for performing atomistic simulations of solid state, liquid, molecular, periodic, material, crystal, and biological systems. CP2K is particularly known for its efficient DFT calculations using a hybrid Gaussian and Plane Waves (GPW) method and its Quickstep module, enabling QM and QM/MM simulations of large systems, including ab initio MD. It's highly parallelized and versatile for demanding simulations. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

metalpdb2mol2.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001570
Description

The metalpdb2mol2.py script is a utility designed to convert Protein Data Bank (PDB) files containing metal ions into the MOL2 file format. It is specifically built to correctly handle the bonding and charge state of the metal center, which is often poorly represented in standard file formats. For researchers simulating metalloproteins, this script is a crucial tool for preparing the metal-containing active site for force field parameterization. (UNVERIFIED)

Sub Class Of utility script c

predictive index analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000142
Description

A Predictive Index (PI) generally refers to a metric designed to assess the predictive power of a computational model, quantifying how well it predicts new, unseen data rather than just fitting the data it was trained on. The specific formula can vary, but it often relates the model's error (like RMSE) to the variance of the data, aiming for a value indicating predictive utility (e.g., related to Q^2 in QSAR). The exact definition can be context-dependent within specific research fields. (UNVERIFIED)

Sub Class Of error metrics analysis c

Z-matrix parameterization modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000378
Description

A Z-matrix parameterization method is a procedure for developing force field parameters where the molecule's geometry is defined using internal coordinates (a Z-matrix). This representation makes it easier to systematically scan and fit parameters for specific degrees of freedom, such as bond lengths or dihedral angles. For force field developers, this method is useful for systematically exploring the potential energy surface and deriving parameters that accurately reproduce it. (UNVERIFIED)

Sub Class Of force field parameterization modeling c

solvent reaction field potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001826
Description

The solvent reaction field potential is an approximate method for modeling the long-range electrostatic effects of a solvent without simulating every molecule. It treats the solvent beyond a certain cutoff distance as a continuous medium with a specific dielectric constant. This continuum generates a "reaction field" that polarizes the solute, providing a computationally cheap way to account for bulk solvent screening. (UNVERIFIED)

Sub Class Of energy c

interaction energy model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000231
Description

Categorizes the different components or functional forms contributing to the total potential energy of the system as calculated by a specific molecular mechanics force field, or relates to fundamental forms of energy in physics relevant at the molecular scale. Within a typical force field, the total potential energy is partitioned into terms like bond stretching energy, angle bending energy, dihedral torsion energy, Van der Waals energy, and electrostatic energy. Analyzing these energy types helps understand molecular conformation, strain, stability, and interaction patterns during a simulation. (UNVERIFIED)

Sub Class Of model c
In Range Of has simulation environment op
Super Class Of

optimal transformation path algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000087
Description

An algorithm designed to find the best path or connection between states or nodes according to some defined criteria, such as minimum cost, shortest distance, or maximum flow. These algorithms are used in various contexts, including finding minimum energy pathways for reactions, constructing minimum spanning trees for clustering, optimizing network routes, or solving complex search problems. They employ different strategies ranging from exact graph traversals to heuristic searches (UNVERIFIED).

Sub Class Of algorithm c
Super Class Of

mrc format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000468
Description

A binary file format used to store three-dimensional images or maps, common in electron microscopy. It is the standard format for storing 3D density maps in cryo-electron microscopy (cryo-EM) and is also used in X-ray crystallography. This format is essential for the visualization and analysis of volumetric data in structural biology. (UNVERIFIED)

Sub Class Of volumetric data format c

hybrid solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000069
Description

A solvation modeling approach that combines elements of both explicit and implicit solvent representations within the same simulation. Typically, a limited number of explicit solvent molecules are retained in a specific region of interest deemed critical (e.g., the active site of an enzyme, the first solvation shell around a solute), while the bulk solvent further away is represented using an implicit continuum model. This strategy aims to capture detailed local solvent effects accurately while maintaining computational efficiency by treating the less critical bulk solvent implicitly. (UNVERIFIED)

Sub Class Of solvation model c

simulation state format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000441
Description

A data format for a file that stores a complete snapshot of a simulation's state at a specific time. This includes coordinates, velocities, and other state variables sufficient to resume the run. These formats are often binary for efficiency. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

Dice coefficient algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000077
Description

A similarity calculation method used to compare two sets (e.g., features in molecular fingerprints), closely related to the Tanimoto coefficient and Jaccard index. It measures the overlap between the sets, normalized by the average size of the two sets. It is often used in information retrieval and cheminformatics as an alternative similarity metric (UNVERIFIED).

Sub Class Of similarity calculation algorithm c

production c

IRI http://purl.obolibrary.org/obo/MOLSIM_000211
Description

The main data-gathering phase of a simulation execution, performed after the system has been properly prepared and equilibrated. During the production run, the system is simulated for a significant length of time under the desired conditions (ensemble, temperature, pressure) without strong restraints or equilibration protocols, and the resulting trajectory (positions and velocities over time) is saved for later analysis. The goal is to generate statistically meaningful data about the system's behavior. (UNVERIFIED)

Sub Class Of execution c

normalized PME solvent energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001813
Description

This is a calculated energy value that represents the average electrostatic interaction energy of a single solvent molecule with all other solvent molecules in a simulation. It is calculated by taking the total solvent-solvent electrostatic energy, as computed by the Particle Mesh Ewald (PME) method, and dividing it by the number of solvent molecules. This normalized energy is a useful diagnostic for checking the equilibration of the solvent and for comparing the cohesive properties of different water models. (UNVERIFIED)

Sub Class Of energy c

objective specification c

IRI http://purl.obolibrary.org/obo/IAO_0000005
Description

A directive information entity that describes an intended process endpoint. When part of a plan specification the concretization is realized in a planned process in which the bearer tries to effect the world so that the process endpoint is achieved.

Sub Class Of directive information entity c

megaHertz c

IRI http://purl.obolibrary.org/obo/UO_0000325
Description

A frequency unit which is equal to one million hertz or 10^[6] V.

Sub Class Of frequency unit c

temperature replica-exchange molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000376
Description

Temperature replica-exchange molecular dynamics is the standard and most common form of the REMD method. It involves running multiple parallel simulations at a range of different temperatures and attempting to swap their coordinates. For experts, this is a robust and widely used method for enhancing the sampling of systems with complex energy landscapes, such as in protein folding simulations. (UNVERIFIED)

Sub Class Of replica-exchange molecular dynamics c

dispersion energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001305
Description

A component of the system's energy arising from quantum-mechanical fluctuations in electron clouds, leading to transient, induced dipoles. This attractive force is a key part of the Van der Waals interaction and is essential for modeling non-covalent binding. In some energy decomposition analyses or specialized force fields, the Dispersion Energy is reported as a distinct component of the interaction energy. This term is often labeled Dispersion or E_disp in relevant outputs. (UNVERIFIED)

Sub Class Of energy c

buffer region charge c

IRI http://purl.obolibrary.org/obo/MOLSIM_001390
Description

A specific charge distribution descriptor that represents the total electric charge of a user-specified "buffer" group of atoms, typically surrounding a core region. This is used in advanced simulation methods to ensure a smooth transition between different parts of the system. The buffercharge is a key parameter in some multi-region simulation setups. This is a specific output of adaptive QM/MM methods. (UNVERIFIED)

Sub Class Of charge distribution descriptor c

cc-pCVQZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000536
Description

The cc-pCVQZ (correlation-consistent polarized Core-Valence Quadruple-Zeta) basis set adds tight core-correlating functions to the cc-pVQZ valence basis. This large basis set is designed for high-accuracy calculations that require capturing correlation effects involving both core and valence electrons at the quadruple-zeta level. Its use implies a significant computational investment aimed at benchmark quality results. (UNVERIFIED)

Sub Class Of split-valence c

CHARMM input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000867
Description

A CHARMM input file is a script containing a sequence of commands written in the CHARMM scripting language, which directs the CHARMM program to perform various tasks. These tasks can range from reading topology and coordinate files, setting up system parameters, running energy minimizations or molecular dynamics simulations, to analyzing results. The script provides flexibility for complex simulation protocols. (UNVERIFIED)

Sub Class Of script format c

clustering parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001265
Description

A type of analysis parameter that controls a clustering algorithm used to group similar molecular conformations from a trajectory. These parameters define the distance metric, the cutoff for cluster membership, and the number of clusters to be generated. The clustering parameter settings are crucial for identifying the dominant conformational states sampled in a simulation. These are often set in a cluster command in an analysis script. (UNVERIFIED)

Sub Class Of analysis parameter c
Super Class Of

hardware c

IRI http://purl.obolibrary.org/obo/MOLSIM_001845
Description

Hardware refers to the physical components of a computer system that are used to run software and perform calculations. This includes the processors, memory, storage drives, and networking equipment that together form the computational machinery for a simulation. Documenting the specific hardware is important for scientific reproducibility, as performance and even numerical results can be influenced by the underlying architecture. (UNVERIFIED)

Super Class Of

volumetric data component c

IRI http://purl.obolibrary.org/obo/MOLSIM_001761
Description

A volumetric data component is one of the basic pieces of information that makes up a 3D data map from a simulation. This refers to the fundamental elements of a volumetric dataset, which include the individual grid points (voxels) and the scalar or vector value assigned to each of those points. The complete set of these components—the grid layout and the data values—constitutes the full volumetric map, which is used to visualize properties like solvent density or electrostatic potential. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of voxel c

electrostatic damping function c

IRI http://purl.obolibrary.org/obo/MOLSIM_000449
Description

An electrostatic damping function is a mathematical function used in some advanced force fields, particularly polarizable ones, to modify the strength of electrostatic interactions at very short distances. This is necessary to prevent the "polarization catastrophe," an unphysical event where induced dipoles can grow infinitely large when two polarizable atoms get too close. For force field developers, these damping functions are a critical component for ensuring the numerical stability of polarizable models. (UNVERIFIED)

Sub Class Of non-bonded potential c

organic molecule force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000013
Description

An organic molecule force field is a set of parameters designed to simulate a wide variety of small organic molecules, such as those found in drugs or solvents. These force fields aim for broad applicability across different chemical functional groups, unlike specialized force fields for proteins or DNA. For experts, general force fields like GAFF are essential for parameterizing novel ligands or drug candidates for simulation with biomolecular targets. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of

metropolis Monte Carlo c

IRI http://purl.obolibrary.org/obo/MOLSIM_002063
Description

The Metropolis Monte Carlo algorithm is a foundational stochastic method used to sample the conformational space of a molecular system according to a target thermodynamic distribution. It operates by proposing random trial moves, such as displacing atoms or rotating molecules, and evaluating them based on the resulting change in potential energy. Moves that lower the system's energy are accepted unconditionally, while moves that increase the energy are accepted with a probability proportional to the Boltzmann factor. For experts, this specific acceptance criterion ensures that the simulation rigorously explores the canonical (NVT) ensemble and correctly calculates equilibrium thermodynamic properties without the need to integrate Newton's equations of motion. (UNVERIFIED)

Sub Class Of enhanced sampling algorithm c

transition state ensembles c

IRI http://purl.obolibrary.org/obo/MOLSIM_000864
Description

The Transition State Ensemble (TSE) refers to the collection of molecular configurations that lie at the top of the highest free energy barrier separating the reactant and product states of a process, such as protein folding or a chemical reaction. Structures within the TSE are equally likely to proceed forward to the product state or revert back to the reactant state (i.e., they have a committor probability of 0.5). Characterizing the structural features of the TSE is key to understanding the mechanism of the transition. (UNVERIFIED)

Sub Class Of enhanced sampling c

tleap c

IRI http://purl.obolibrary.org/obo/MOLSIM_000260
Description

A core program within the AmberTools suite used for building the topology (parameter) files and initial coordinate files for simulations with AMBER. Tleap reads force field definition files, structural fragments (like amino acid residues or solvent molecules), and user-provided structure files (e.g., PDB), then connects units (e.g., solvating a protein), adds counterions, and writes out the prmtop (topology) and inpcrd (coordinate) files necessary to run simulations with SANDER or PMEMD. It is an essential setup tool in the AMBER workflow. (UNVERIFIED)

Sub Class Of topology and coordinate generation tool c

Euler integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_000110
Description

The Euler integrator is the simplest first-order numerical method for solving the equations of motion in a simulation, calculating future positions and velocities based solely on their current values and forces. While straightforward to implement, it is generally not used for production molecular dynamics simulations due to its lack of time-reversibility and poor energy conservation (stability) compared to symplectic algorithms like the Verlet or Leap-frog integrators. (UNVERIFIED)

Sub Class Of integration algorithm c

Connolly surface analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000479
Description

A Connolly surface calculation is a specific algorithm used to compute the solvent-accessible surface of a molecule, which is the surface traced out by the center of a probe sphere as it rolls over the molecule. It is a widely used method for defining the boundary between a molecule and the surrounding solvent. For experts, the Connolly algorithm provides a smooth and mathematically well-defined surface that is essential for visualization and for continuum solvent models. (UNVERIFIED)

Sub Class Of molecular surface analysis c

rhombic dodecahedron c

IRI http://purl.obolibrary.org/obo/MOLSIM_000033
Description

A specific type of simulation box shape corresponding to a dodecahedron with rhombus-shaped faces. It is one of the space-filling polyhedra that is closer to a sphere than a cube, thus often requiring less solvent volume (and fewer solvent molecules) to solvate a roughly spherical solute while maintaining a minimum distance to the periodic images. It can offer computational savings compared to a cubic box of similar minimum image distance. (UNVERIFIED)

Sub Class Of box type c

amber ff99 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000746
Description

An important revision of the AMBER protein force field parameter set released around 1999, incorporating significant updates, especially to backbone torsion parameters, compared to ff94/ff96. It aimed to better reproduce secondary structure propensities. Several variants of ff99 exist, addressing specific issues or refining parameters further. (UNVERIFIED)

Sub Class Of protein force field c

protein complex system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001899
Description

A protein complex system is a type of complex system where a protein is interacting with another macromolecule. This other molecule could be another protein, forming a protein-protein complex, or a nucleic acid, forming a protein-nucleic acid complex. These simulations are essential for understanding how proteins function in the context of larger biological assemblies. (UNVERIFIED)

Sub Class Of complex system c
Super Class Of

CHARMM output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000881
Description

The CHARMM output file is the main text log generated during a CHARMM run, typically containing an echo of the input script commands interspersed with the results produced by those commands. This includes detailed energy breakdowns, progress information during dynamics or minimization (like step number, time, temperature, pressure, energies), and outputs from analysis routines. It serves as the primary record of the CHARMM job execution. (UNVERIFIED)

Sub Class Of simulation log format c

atomtype c

IRI http://purl.obolibrary.org/obo/MOLSIM_001612
Description

The atomtype program is a utility in the AmberTools suite that automatically assigns force field atom types to the atoms in a molecule. It analyzes the chemical environment of each atom, including its element, hybridization, and bonding pattern, to determine the appropriate atom type from a force field like GAFF. This is a critical first step in the parameterization process, as the atom type dictates which parameters will be used for all subsequent energy calculations. (UNVERIFIED)

Sub Class Of parameter assignment tool c

ramachandran analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000979
Description

A widely used graphical tool for conformation validation specifically applied to proteins. It plots the distribution of backbone dihedral angles (phi and psi) for each amino acid residue, allowing visualization of whether these angles fall into sterically allowed or disallowed regions. This provides a crucial check for the quality and realism of the protein backbone structure (UNVERIFIED).

Sub Class Of structural analysis c

numerical integration c

IRI http://purl.obolibrary.org/obo/MOLSIM_000339
Description

Refers specifically to integration methods that use numerical approximations to solve differential equations, which is necessary for the equations of motion in complex biomolecular systems where exact analytical solutions are impossible. These algorithms iteratively calculate the system's state at successive small time steps, with the choice of method (e.g., Verlet, Leapfrog) affecting simulation accuracy, stability, and computational cost. It emphasizes the approximate, step-by-step nature of solving the motion computationally (UNVERIFIED).

Sub Class Of integration analysis c

boost energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001310
Description

A component of the system's energy that represents an artificial energy term added to the potential to accelerate sampling in enhanced sampling simulations. This non-physical energy helps the system overcome high energy barriers more quickly. The magnitude of the boost energy is a key parameter that controls the degree of enhanced sampling. It is reported in the log files of methods like Accelerated MD as E_boost or amd_boost. (UNVERIFIED)

Sub Class Of energy c
Super Class Of accelerated MD boost energy c

HyperChem c

IRI http://purl.obolibrary.org/obo/MOLSIM_000782
Description

A commercial molecular modeling software package providing a graphical interface for building, visualizing, and simulating molecular systems. It offers capabilities for molecular mechanics (MM) using various force fields, quantum mechanics (QM) using semi-empirical and ab initio methods, and molecular dynamics (MD) simulations. HyperChem aims to provide an integrated environment for a range of computational chemistry tasks on desktop computers. (UNVERIFIED)

Sub Class Of software suite c

velocity verlet integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_002023
Description

A numerical algorithm for integrating Newton's equations of motion that updates atomic positions and velocities at the same time step. It improves upon the leap-frog method by providing synchronized coordinates and velocities, which is essential for accurate calculation of kinetic energy and instantaneous pressure. For experts, this symplectic, time-reversible integrator is the standard in many MD codes because it facilitates the implementation of velocity-dependent algorithms like thermostats and barostats with high numerical stability. (UNVERIFIED)

Sub Class Of integration algorithm c

Z-matrix coordinate representation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001498
Description

A Z-matrix is a way to describe a molecule's structure using internal coordinates, defining each atom's position relative to other atoms. Each atom is specified by a bond length to a preceding atom, a bond angle to two preceding atoms, and a dihedral angle to three preceding atoms. For computational chemists, the Z-matrix is a powerful representation for controlling molecular geometry and is often used in quantum chemistry calculations and conformational analysis. (UNVERIFIED)

Sub Class Of molecular structure representation c

UV/visible spectra c

IRI http://purl.obolibrary.org/obo/MOLSIM_001015
Description

UV/Visible (UV/Vis) spectra measure the absorption of ultraviolet and visible light by a sample as a function of wavelength. Absorption occurs when the light energy promotes electrons to higher energy levels (orbitals). This technique is widely used for quantitative measurements (concentration) and characterizing molecules with relevant electronic structures, like conjugated systems or metal ions. (UNVERIFIED)

Sub Class Of electronic spectroscopy c

nucleic acid parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001358
Description

A type of structural property that provides a detailed, quantitative description of the geometry of a nucleic acid helix. These parameters are calculated by specialized analysis programs to characterize the structure of DNA and RNA. They are essential for comparing simulated structures to experimental data and for understanding sequence-dependent structural variations. These are the standard output of programs like do_x3dna or cpptraj. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of

cc-pV5Z-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000532
Description

The cc-pV5Z-RI is the corresponding auxiliary basis set developed for Resolution of Identity (RI) or Density Fitting (DF) methods when used with the very large cc-pV5Z orbital basis set. Its use facilitates the application of computationally demanding cc-pV5Z calculations by significantly accelerating the evaluation of electron repulsion integrals through the RI/DF approximation. (UNVERIFIED)

Sub Class Of split-valence c

workflow script c

IRI http://purl.obolibrary.org/obo/MOLSIM_000169
Description

A script that defines and executes an entire sequence of computational tasks constituting a specific workflow, often involving multiple steps like data preparation, running simulations (potentially submitting to clusters), performing analysis, and summarizing results. These scripts orchestrate the execution of various tools and other scripts, manage intermediate data, and handle dependencies between steps, ensuring the entire process runs smoothly and reproducibly. Tools like Snakemake or Nextflow help in creating robust workflow scripts. (UNVERIFIED)

Sub Class Of script c

CM1 charge method c

IRI http://purl.obolibrary.org/obo/MOLSIM_001435
Description

The CM1 charge method, and its successors like CM2, are a class of methods for calculating partial atomic charges based on a semi-empirical quantum mechanical calculation. They are designed to reproduce the dipole moments of molecules with high accuracy. For experts, these methods provide a fast alternative to more computationally expensive electrostatic potential fitting for generating charges for new molecules. (UNVERIFIED)

Sub Class Of ligand charge model c

gwh c

IRI http://purl.obolibrary.org/obo/MOLSIM_001601
Description

The gwh (guess water hydrogens) tool is a system setup utility used to add or optimize the positions of hydrogen atoms for water molecules in a structural model. The program iteratively rotates the water molecules to find an optimal orientation for their hydrogens, aiming to satisfy the most favorable hydrogen bonding network and electrostatic interactions with the surrounding environment. For experts, gwh serves as a specialized complement to the reduce program (which handles protein hydrogens), providing a method to generate a more physically realistic and lower-energy initial solvent configuration than the arbitrary placement offered by standard system-building tools like tleap. (UNVERIFIED)

Source https://ambermd.org/doc12/Amber25.pdf
Sub Class Of structure cleaning and manipulation tool c

ndfes-path-prepguess.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001647
Description

This script is a utility used to create a plausible starting guess for the transition pathway between two molecular conformations. It typically generates a series of intermediate structures by linearly interpolating between the known start and end states. This initial guess provides a starting point for more sophisticated path-finding algorithms that then refine the path to find the minimum free energy route. (UNVERIFIED)

Sub Class Of utility script c

Poisson-Boltzmann model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001516
Description

The Poisson-Boltzmann model is a sophisticated implicit solvent model that describes the electrostatic environment around a molecule in an ionic solution. It represents the molecule as a low-dielectric cavity and the solvent as a continuous medium with a high dielectric constant, accounting for the screening effects of mobile salt ions. For experts, solving the Poisson-Boltzmann equation provides a more physically rigorous description of continuum electrostatics than Generalized Born models, and it is the core of MM/PBSA calculations. (UNVERIFIED)

Sub Class Of implicit solvent model c
Super Class Of analytical linearized Poisson-Boltzmann model c

HF/6-31G RESP c

IRI http://purl.obolibrary.org/obo/MOLSIM_000644
Description

HF/6-31G RESP is a specific protocol for deriving RESP charges where the electrostatic potential is first calculated using the Hartree-Fock (HF) level of quantum mechanical theory with the 6-31G basis set. This specific combination of QM method and basis set has been the standard and most widely validated level of theory for generating RESP charges compatible with the major AMBER protein force fields. For experts, specifying "HF/6-31G* RESP" defines the precise and reproducible protocol used to obtain the atomic charges. (UNVERIFIED)

Sub Class Of ligand charge model c

MP5 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000831
Description

MP5 represents fifth-order Møller-Plesset perturbation theory, calculating the electron correlation energy correction up to the fifth order. It incorporates even higher-order excitation effects beyond MP4, aiming for further refinement in accuracy. However, the computational cost of MP5 is extremely high, and it is very rarely used in practice, as other methods like coupled cluster often provide similar or better accuracy more efficiently at that level of computational expense. (UNVERIFIED)

Sub Class Of Moeller-Plesset c

AMBER restart format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000471
Description

A format that stores the complete state of an Amber simulation, including atomic coordinates, velocities, and periodic box dimensions. It is used to save the simulation state at a specific point in time, allowing the run to be resumed exactly. The format can be either ASCII-based (.rst7) or binary NetCDF-based (.ncrst). (UNVERIFIED)

Sub Class Of simulation state format c
Super Class Of

time unit c

IRI http://purl.obolibrary.org/obo/UO_0000003
Description

A unit which is a standard measure of the dimension in which events occur in sequence.

Sub Class Of unit c
Super Class Of second based unit c

non-bonded metal model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001473
Description

A non-bonded metal model is a common approach for simulating metal ions where the ion is treated as a simple charged sphere that interacts with its environment only through electrostatic and van der Waals forces. This model does not define any explicit chemical bonds to the ion, making it simple to implement and suitable for ions that are not covalently bound. For experts, the accuracy of this model depends heavily on the quality of the ion's non-bonded parameters and the treatment of charge transfer. (UNVERIFIED)

Sub Class Of ion force field c

structure factor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001844
Description

A structure factor is a mathematical description of how a material scatters waves, such as X-rays, which is used to determine its atomic structure. It combines the information about where the atoms are located in a crystal's repeating unit and how strongly each atom scatters the waves. The calculation of structure factors from a molecular model is the basis of X-ray refinement, allowing a direct comparison between a proposed structure and the experimental diffraction data. (UNVERIFIED)

Sub Class Of physical property c

dtr format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001058
Description
  • A trajectory file format used by the Desmond simulation software.

  • A binary file format used by the Desmond simulation software to store the trajectory of a molecular system. It efficiently stores atomic coordinates, velocities, and other data in a block-based structure. This is the native trajectory output format for simulations run with Desmond. (UNVERIFIED)

Sub Class Of molecular trajectory format c

pair-distribution function c

IRI http://purl.obolibrary.org/obo/MOLSIM_001426
Description

A specific type of correlation function that gives the conditional probability of finding a particle at a certain distance from another particle. It is a fundamental descriptor of the local structure of liquids and solids. The pair-distribution function is often calculated from simulations and compared to experimental scattering data. This is often denoted as g(r) or RDF. (UNVERIFIED)

Sub Class Of correlation function c

Parmscan c

IRI http://purl.obolibrary.org/obo/MOLSIM_001606
Description
  • described in https://doi.org/10.1002/jcc.1079

  • PARMSCAN is an automatic engine designed for the parameterization of molecular mechanics force fields, such as those used in AMBER. It employs optimization strategies like systematic search and genetic algorithms to refine force field terms for bond lengths, angles, and torsions. The goal of this optimization is to make the force field accurately reproduce target experimental and quantum mechanical data, including conformational energies and vibrational frequencies. (UNVERIFIED)

Sub Class Of parameter fitting tool c

integration algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001691
Description

An integration algorithm is the numerical engine of a molecular dynamics simulation, responsible for calculating how the positions and velocities of atoms change over time. It works by taking the forces on the atoms at one moment and using them to predict the atomic positions a very short time later. For experts, the choice of integration algorithm, such as the common velocity-Verlet integrator, is a critical parameter that affects the stability, accuracy, and energy conservation of the simulation. (UNVERIFIED)

Sub Class Of simulation control algorithm c
Super Class Of

time cross correlation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000942
Description

Time cross-correlation analysis quantifies the relationship between the fluctuations of two different properties, A and B, over time in a simulation. The cross-correlation function (CCF) indicates whether the properties tend to fluctuate together (positive correlation), in opposition (negative correlation), or independently (zero correlation), potentially with a time delay (lag). It is widely used to identify coupled or concerted motions between different parts of a molecule. (UNVERIFIED)

Sub Class Of correlation analysis c

sff c

IRI http://purl.obolibrary.org/obo/MOLSIM_001681
Description

The sff library is a software component, often used with the OpenMM simulation toolkit, for parsing and interpreting force field definition files. It is designed to read standard force field file formats, such as those from AMBER, and make the parameters available to a simulation engine. This library provides the essential function of translating the human-readable force field files into the internal representation needed to calculate forces during a simulation. (UNVERIFIED)

Sub Class Of library c

fast fourier transform algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001706
Description

The Fast Fourier Transform (FFT) is a highly efficient mathematical algorithm for computing the discrete Fourier transform, which converts a signal from its original domain (like time) to a representation in the frequency domain. In biomolecular simulation, the FFT is the critical algorithm that enables the efficient calculation of long-range electrostatic forces using the Particle Mesh Ewald (PME) method. Its speed is what makes accurate treatment of electrostatics in large periodic systems computationally feasible. (UNVERIFIED)

Sub Class Of signal processing algorithm c

CHARMM cor format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001053
Description

A file format from the CHARMM simulation software that stores the atomic coordinates of a molecule. It is a binary, unformatted version of the CHARMM coordinate file, making it more compact and faster to read than its text-based counterpart. This format is often used for saving and reading structures within CHARMM workflows. (UNVERIFIED)

Sub Class Of crd format c

NWChem c

IRI http://purl.obolibrary.org/obo/MOLSIM_000181
Description

A versatile open-source computational chemistry software package developed by Pacific Northwest National Laboratory (PNNL), designed for high-performance computing. It offers a broad range of capabilities, including classical MD simulation, various quantum mechanical methods (DFT, Hartree-Fock, coupled cluster), and hybrid QM/MM methods. Its ability to handle both MD and QM makes it suitable for complex biomolecular simulations requiring multi-scale approaches on large parallel computers. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

reactive force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001543
Description

A reactive force field is an advanced type of force field that is capable of modeling the formation and breaking of chemical bonds during a simulation. Unlike standard force fields where connectivity is fixed, these models use complex energy functions that allow the bonding between atoms to change dynamically. For experts, reactive force fields like ReaxFF are essential for simulating chemical reactions, combustion, or material failure at the atomic level. (UNVERIFIED)

Sub Class Of force field c
Super Class Of ReaxFF c

square centimeter per second c

IRI http://purl.obolibrary.org/obo/MOLSIM_010008
Description

A centimeter-gram-second (CGS) unit of kinematic viscosity, defined as the kinematic viscosity of a fluid that passes one square centimeter in one second. It is equivalent to the unit Stokes (St).

Sub Class Of kinematic viscosity unit c

nuclear overhauser effect (NOE) c

IRI http://purl.obolibrary.org/obo/MOLSIM_000989
Description

An experimental Nuclear Magnetic Resonance (NMR) phenomenon that arises from the through-space dipolar coupling between nearby nuclear spins (commonly protons), used as a complementary technique to MD. Detecting NOEs allows measurement of short inter-proton distances (typically < 6 Å), providing crucial experimental restraints for determining or validating biomolecular structures and conformational ensembles in solution. MD simulations can be used to predict NOEs for comparison with experiments or refined using experimental NOE data. (UNVERIFIED)

Sub Class Of complementary techniques for MD c

polarization algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001546
Description

A polarization algorithm is a computational procedure used in simulations with polarizable force fields to calculate the induced dipole moments on each atom. It works by iteratively solving a set of equations until the induced dipoles are self-consistent with the total electric field created by both the permanent charges and all other induced dipoles. The efficiency of this algorithm is critical, as this iterative calculation must be performed at every single step of the simulation, adding significant computational cost compared to fixed-charge models. (UNVERIFIED)

Sub Class Of simulation control algorithm c
Super Class Of

aug-cc-pCV5Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000559
Description

The aug-cc-pCV5Z basis set merges the quintuple-zeta correlation-consistent framework with both core-valence correlating functions ('-CV') and diffuse functions ('aug-'). This extremely large basis set is used for highly specialized benchmark calculations on small systems demanding near complete basis set accuracy for properties sensitive to both core correlation and diffuse electron effects. (UNVERIFIED)

Sub Class Of split-valence c

hyperfine coupling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000624
Description

A quantum mechanical interaction representing the coupling between the magnetic moment associated with the spin of an electron and the magnetic moment of a nearby atomic nucleus. This interaction leads to small shifts and splittings ('hyperfine structure') in atomic and molecular energy levels, which are observable in high-resolution spectroscopy, particularly Electron Paramagnetic Resonance (EPR) for species with unpaired electrons, and also in NMR. It provides valuable information about the electron distribution (spin density) near the nucleus and thus molecular structure. (UNVERIFIED)

Sub Class Of spin effect* c

NetCDF trajectory format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000097
Description
  • In the vast majority of scientific applications, including molecular dynamics, climate science, and oceanography, a .nc file is a NetCDF file. There is no difference in the format itself. The .nc extension is simply the most common file name suffix for a file written using the NetCDF data model. (UNVERFIED)

  • A binary trajectory format based on the NetCDF standard, used by the Amber simulation package. It efficiently stores atomic coordinates, velocities, forces, and periodic box dimensions from a simulation. This is the modern, recommended trajectory format for Amber. (UNVERIFIED)

Sub Class Of

coarse-grained force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000736
Description

A coarse-grained force field is a type of force field that uses a simplified representation where groups of atoms are treated as single interaction sites, or "beads." This reduction in the number of particles significantly decreases the computational cost, allowing for the simulation of much larger systems and for much longer timescales. For researchers, coarse-grained force fields like MARTINI or SIRAH are essential for studying large-scale phenomena like membrane self-assembly or the dynamics of large protein complexes. (UNVERIFIED)

Sub Class Of resolution-based force field c
Super Class Of

Poisson-Boltzmann surface area c

IRI http://purl.obolibrary.org/obo/MOLSIM_000270
Description

A method (often abbreviated PB/SA) for calculating the free energy of solvation by combining two components: the electrostatic contribution calculated by numerically solving the Poisson-Boltzmann (PB) equation, and the non-polar contribution estimated as being proportional to the solvent-accessible surface area (SASA) of the solute. The PB equation provides a more rigorous treatment of continuum electrostatics than GB models by accounting for solute shape and charge distribution within a dielectric medium, while the SASA term models the cost of creating the solute cavity in the solvent and attractive solute-solvent van der Waals interactions. This method is often used for post-processing simulation trajectories to estimate binding free energies. (UNVERIFIED)

Sub Class Of implicit solvent model c

random number generator algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001700
Description

A random number generator is an algorithm designed to produce a sequence of numbers that lacks any discernible pattern, appearing to be random. In computational science, these are essential for introducing the element of chance required by certain simulation methods. For experts, these pseudo-random number generators are critical components of stochastic thermostats and Monte Carlo algorithms. (UNVERIFIED)

Sub Class Of algorithm c
Super Class Of

fasta format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000912
Description

The Fasta format is a simple and widely used text-based format for storing biological sequence data (nucleotides or amino acids). Each sequence entry begins with a single-line description header, marked by a greater-than symbol ('>'), followed by the sequence data on one or more subsequent lines. Its simplicity makes it easily readable by humans and parsable by many bioinformatics tools. (UNVERIFIED)

Sub Class Of sequence data format c

non-bonded interaction parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001185
Description

A type of interaction parameter that specifically controls the calculation of van der Waals and short-range electrostatic interactions. This includes the cutoff distance beyond which interactions are ignored or approximated. These non-bonded interaction parameter settings are fundamental to the performance and accuracy of the simulation. These are often set with keywords like cut or vdw-cutoff. (UNVERIFIED)

Sub Class Of interaction parameter c
Super Class Of

cc-pVDZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000522
Description

The cc-pVDZ (correlation-consistent polarized Valence Double-Zeta) basis set is the smallest in Dunning's correlation-consistent family. It provides two basis functions for each valence atomic orbital ('Double-Zeta') and includes polarization functions (p for H, d for heavy atoms) optimized to recover a significant fraction of the electron correlation energy typical at this size. It offers a systematic starting point for converging towards the complete basis set limit. (UNVERIFIED)

Sub Class Of split-valence c

TeraChem c

IRI http://purl.obolibrary.org/obo/MOLSIM_001581
Description

TeraChem is a quantum chemistry software package that was designed from the ground up to run exclusively on graphics processing units (GPUs). This focus on GPU hardware allows it to perform quantum mechanical calculations, particularly Density Functional Theory, on very large molecules with exceptional speed. Its high performance makes it a powerful tool for QM/MM simulations and for studying the electronic properties of large biological and materials systems. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

barostat algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000039
Description

An algorithm used in molecular dynamics simulations, typically alongside a thermostat, to control the pressure of the simulated system by adjusting the simulation box volume. This allows simulations to be performed under conditions of constant pressure and temperature (NPT ensemble), mimicking typical laboratory conditions. Different barostats vary in how they couple the volume changes to the pressure difference and whether they allow anisotropic box changes (UNVERIFIED).

Sub Class Of simulation control algorithm c
Super Class Of

GAUSSIAN chk format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000890
Description

The Gaussian checkpoint file (.chk) is a binary file that stores a wealth of information about a completed or running Gaussian calculation, including the molecular geometry, basis set details, molecular orbital coefficients, density matrix, and forces. It is essential for restarting interrupted calculations (especially geometry optimizations or frequency calculations) and for post-processing tasks like generating cube files or performing wavefunction analysis. It can be converted to a formatted version (.fchk). (UNVERIFIED)

Sub Class Of simulation state format c

atom freezing c

IRI http://purl.obolibrary.org/obo/MOLSIM_002002
Description

A simulation technique where the positions of a selected group of atoms are kept strictly fixed throughout the integration. This is achieved by zeroing the forces and velocities (or setting masses to infinity) for those atoms, effectively removing them from the equations of motion. For experts, this is distinct from position restraints (where atoms vibrate around a point) and is used to model rigid walls, surface adsorption, or to equilibrate solvent around a static protein structure. (UNVERIFIED)

Sub Class Of constraint and restraint parameter c

Lipid_ext parameter set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001506
Description

This is a custom collection of parameters used to describe the behavior of special or non-standard lipid molecules in a computer simulation. The Lipid_ext parameter set is a user-provided file containing force field parameters for lipid types not included in the standard lipid force field libraries, such as oxidized lipids or drug-like amphiphiles. These supplementary parameters are typically loaded alongside a main force field to extend its chemical scope, enabling the simulation of more complex and heterogeneous membrane systems. (UNVERIFIED)

Sub Class Of force field parameter set c

total excess coordination number format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001115
Description

This file format stores data that measures the average number of extra solvent molecules that gather around a central solvent molecule, compared to the bulk liquid. It quantifies the degree of solvent structuring or clustering that occurs in the solution. This is a specialized output from 1D-RISM calculations that provides insight into the local packing and organization of the solvent molecules themselves. (UNVERIFIED)

Sub Class Of solvent analysis format c

TURBOMOLE c

IRI http://purl.obolibrary.org/obo/MOLSIM_000791
Description

A highly efficient quantum chemistry software package focusing on ab initio methods, particularly Density Functional Theory (DFT) and correlated wavefunction methods (like MP2, CC2, CCSD(T)), optimized for speed and parallel performance. It is widely used for calculations on molecules and clusters, especially for applications requiring high accuracy or large basis sets, such as reaction mechanism studies, spectroscopy, and parameterization tasks relevant to biomolecular simulation. (UNVERIFIED)

Sub Class Of software suite c

lipid11 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001449
Description

Lipid11 is a specific version of the AMBER lipid force field, released around 2011, that provided an updated set of parameters for simulating common phospholipid molecules. It served as an improvement over earlier lipid models within the AMBER family for modeling biological membranes. It has since been superseded by more recent versions like LIPID14 and LIPID17, but represents an important step in the development of AMBER's membrane simulation capabilities. (UNVERIFIED)

Sub Class Of lipid force field c

other organic molecules force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000016
Description

General purpose force fields applicable to a wide range of organic molecules not covered by protein, lipid, nucleic acid, or carbohydrate specific parameter sets. These general force fields (like GAFF, CGenFF) use atom typing rules based on chemical environment to assign parameters, making them versatile for arbitrary organic molecules like drugs or ligands. They contrast with highly specialized biomolecular force fields. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of

amber ff99 phi c

IRI http://purl.obolibrary.org/obo/MOLSIM_000747
Description

A specific modification of the AMBER ff99 protein force field. This variant likely involved adjustments targeted at the phi (ϕ) backbone dihedral angle parameters, aiming to correct specific structural biases observed with the original ff99. Such targeted modifications are common in force field development. (UNVERIFIED)

Sub Class Of protein force field c

simulation parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001164
Description

An input setting that specifically dictates the physical interactions, boundary conditions, or integration rules used to generate a molecular dynamics trajectory (e.g., target thermostat temperature, integration timestep). (UNVERIFIED)

Sub Class Of parameter c
Super Class Of

peptide Gaussian accelerated molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000399
Description

Peptide Gaussian accelerated molecular dynamics is a specific application of the GaMD method tailored to enhance the conformational sampling of peptides. The boost potential is applied to accelerate the slow folding and conformational transition events that are characteristic of flexible peptide molecules. For experts, this method is useful for studying peptide folding mechanisms and their interactions with other molecules. (UNVERIFIED)

Sub Class Of Gaussian accelerated molecular dynamics c
Super Class Of dual-boost peptide Gaussian accelerated molecular dynamics c

repository database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000709
Description

A type of database primarily focused on the storage, preservation, and dissemination of datasets, often associated with specific types of studies, computational outputs, or large-scale projects. Repositories ensure data accessibility and reusability for the scientific community. Examples include those for simulation trajectories or predicted protein structures. (UNVERIFIED)

Sub Class Of database source c
Super Class Of

max-flux approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000851
Description

The max-flux approach refers to methods aimed at identifying the dominant pathway or ensemble of pathways that carry the majority of the reactive flux during transitions between stable states in a molecular system. This often involves analyzing or optimizing pathways (like those from string methods) to find the route with the highest probability current connecting reactants and products. It helps pinpoint the most statistically relevant transition mechanisms. (UNVERIFIED)

Sub Class Of enhanced sampling c

cc-pV6Z-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000533
Description

The cc-pV6Z-RI basis set is the auxiliary fitting basis optimized for use alongside the extremely large cc-pV6Z orbital basis within the framework of Resolution of Identity (RI) or Density Fitting (DF) approximations. It allows the computational speed benefits of RI/DF to be realized even when employing the highly demanding cc-pV6Z level of theory for benchmark calculations. (UNVERIFIED)

Sub Class Of split-valence c

confidence intervals analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000126
Description

A confidence interval provides a range of values, calculated from sample data (e.g., simulation results), that is estimated to contain the true underlying value of a population parameter (e.g., the true average energy) with a specified probability or confidence level (e.g., 95%). It quantifies the uncertainty associated with estimating a parameter from limited or noisy data. Wider intervals indicate greater uncertainty. (UNVERIFIED)

Sub Class Of statistical analysis c

protein-DNA system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001900
Description

A protein-DNA system is a specific type of protein complex system composed of one or more proteins interacting with a DNA molecule. These systems are fundamental to nearly all aspects of genetics, including DNA replication, repair, and the regulation of gene expression by transcription factors. For experts, simulating these complexes is crucial for understanding the molecular basis of how proteins read and manipulate the genetic code. (UNVERIFIED)

Sub Class Of protein complex system c

dual-boost ligand Gaussian accelerated molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000398
Description

Dual-boost ligand Gaussian accelerated molecular dynamics is a variant of the GaMD method where two separate boost potentials are applied simultaneously. Typically, one boost is applied to the dihedral angles of the ligand to enhance its conformational sampling, while a second boost is applied to the total potential energy of the system to accelerate its overall dynamics. For experts, this dual-boost approach provides more targeted and efficient enhancement of ligand binding and unbinding events. (UNVERIFIED)

Sub Class Of ligand Gaussian accelerated molecular dynamics c

Epik c

IRI http://purl.obolibrary.org/obo/MOLSIM_000224
Description

A specific software tool, part of the Schrödinger computational chemistry suite, designed for predicting the pKa values and dominant protonation and tautomeric states of ligands and biomolecules under specified pH conditions. Epik uses empirical methods, pKa lookup, and structure generation techniques to enumerate likely ionization and tautomeric forms, providing crucial input for preparing systems for docking or simulation studies where ligand charge state is important. (UNVERIFIED)

Sub Class Of ligand protonation tool c

UCSF Chimera c

IRI http://purl.obolibrary.org/obo/MOLSIM_001934
Description

UCSF Chimera is a powerful and highly extensible desktop program for the interactive visualization and analysis of molecular structures and related data. It is known for its high-quality graphics, comprehensive feature set, and its ability to handle a wide range of data types beyond simple structures, such as density maps and sequence alignments. For many researchers, Chimera (and its successor, ChimeraX) is an indispensable day-to-day tool for analyzing simulation results and preparing publication-quality figures. (UNVERIFIED)

Sub Class Of

displacement parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001372
Description

A type of nucleic acid parameter that quantifies the position of a base pair's reference frame relative to the global or local helical axis. These parameters measure how far off-center the base pairs are located. They include x-displacement and y-displacement. (UNVERIFIED)

Sub Class Of nucleic acid parameter c
Super Class Of

pseudocontact shift restraint simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001822
Description

A pseudocontact shift restraint simulation is a technique that uses a specific type of NMR data, known as pseudocontact shifts (PCS), to guide a simulation. PCS provide long-range distance and angular information relative to a paramagnetic metal center in the molecule. For structural biologists, using PCS restraints is a powerful method for determining the structure and dynamics of proteins and their complexes. (UNVERIFIED)

Sub Class Of restrained simulation method c

normalized water-water interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001815
Description

This is a measure of the average interaction energy between a single water molecule and all of its neighbors in a simulation. It is calculated by taking the total interaction energy of all water molecules with each other and dividing by the number of water molecules. This value quantifies the cohesiveness of the simulated water and is a key property used to validate a water model by comparing it to the experimental heat of vaporization. (UNVERIFIED)

Sub Class Of interaction energy c

helix c

IRI http://purl.obolibrary.org/obo/MOLSIM_001785
Description

A helix is a common shape in proteins and DNA where the molecular chain is twisted into a spiral or corkscrew. It is a secondary structure motif characterized by a repeating pattern of backbone dihedral angles that causes the polymer chain to follow a helical path, which is stabilized by a regular pattern of internal hydrogen bonds. The alpha-helix in proteins and the double helix of DNA are two of the most fundamental and recognizable structures in biology. (UNVERIFIED)

Sub Class Of secondary structure c
Super Class Of

antiferromagnetic coupling c

IRI http://purl.obolibrary.org/obo/MOLSIM_001018
Description

Antiferromagnetic coupling describes an interaction between nearby unpaired electron spins (paramagnetic centers) where the spins preferentially align in opposite (anti-parallel) directions. This interaction, often mediated by bridging atoms, leads to a reduction in the system's overall magnetic susceptibility compared to isolated spins. It is a key concept in understanding the magnetic behavior of multi-center metal complexes and materials, often quantified by an exchange coupling constant, J. (UNVERIFIED)

Sub Class Of magnetic spectroscopy c

well-tempered metadynamics parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001243
Description

A type of enhanced sampling parameter that controls a well-tempered metadynamics simulation. These parameters define how the height of the added Gaussian hills is rescaled over time, ensuring that the simulation eventually converges. The well-tempered metadynamics parameter settings are crucial for obtaining converged free energy surfaces. These are often set in a specific metadynamics section of the input file. (UNVERIFIED)

Sub Class Of enhanced sampling parameter c
Super Class Of well-tempered pseudo-temperature c

prmtop format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001042
Description

The AMBER prmtop format is a text file that acts as a blueprint for a molecule, defining all its chemical properties for a simulation. It contains a complete description of the atoms, their connectivity through bonds, the force field parameters governing their interactions, and their partial charges. This file, used in conjunction with a coordinate file, provides all the static information the AMBER simulation engine needs to calculate the forces on the system. (UNVERIFIED)

Sub Class Of AMBER topology format c

protonation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000220
Description

A computational tool specifically designed to predict and assign the appropriate protonation states (ionization states) of titratable residues (Asp, Glu, His, Lys, Arg, Cys, Tyr) and ligands within a biomolecular structure at a given pH value. These tools typically use methods based on solving the Poisson-Boltzmann equation or empirical pKa prediction algorithms to determine whether each site is likely to be protonated or deprotonated. Accurate protonation is critical for realistic electrostatic modeling in simulations; examples include PDB2PQR, H++, PROPKA, and modules within larger modeling suites. (UNVERIFIED)

Sub Class Of structure preparation tool c
Super Class Of

GROMOS 53a6 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001974
Description

GROMOS 53A6 is a specific parameter set within the GROMOS family of united-atom force fields designed for biomolecular simulations. It was optimized to accurately reproduce the hydration free enthalpies of amino acid analogs in water, improving upon previous versions like 45A3. For experts, this set is intended for use with the SPC water model and includes specific parameter tuning for partial charges and Lennard-Jones repulsion to better capture solvation thermodynamics. (UNVERIFIED)

Sub Class Of united-atom force field c

PROPKA c

IRI http://purl.obolibrary.org/obo/MOLSIM_000241
Description

A widely used, fast empirical method and software tool for predicting the pKa values of ionizable residues in proteins and protein-ligand complexes. PROPKA uses information about the local structural environment (hydrogen bonds, desolvation, interactions with charged groups) to estimate shifts from standard reference pKa values, providing quick and often reasonably accurate pKa predictions crucial for determining protonation states at a given simulation pH. It's often integrated into other tools like PDB2PQR. (UNVERIFIED)

Sub Class Of pKa tool c

integration parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001165
Description

A type of simulation parameter that controls the numerical algorithm used to advance the positions and velocities of atoms through time. These parameters define the fundamental aspects of how the simulation trajectory is generated. Key integration parameters include the simulation time step and the total simulation duration. These are often found in the main control section of an input file, such as the &cntrl namelist in AMBER. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

DFTB parameter format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001099
Description

The DFTB parameter format is a set of files, known as Slater-Koster files, that contain the parameters for a Density Functional Tight Binding (DFTB) calculation. These files define the pre-calculated electronic and repulsive properties between pairs of atom types, which are derived from more expensive quantum mechanical calculations. This parameterization is what allows the DFTB method to achieve its high computational speed while retaining a quantum mechanical description of the system. (UNVERIFIED)

Sub Class Of force field parameter format c

Generalized Born energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001323
Description

A specific type of polar solvation energy calculated using the Generalized Born model, which is an approximation of the Poisson-Boltzmann equation. This method is computationally faster, making it popular for estimating solvation free energy in large-scale studies. The Generalized Born energy is a primary output of MM/GBSA calculations. This result is often reported as GB or EGB energy. (UNVERIFIED)

Sub Class Of solvation free energy c

Urey-Bradley potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001996
Description

A specific interaction term used in molecular mechanics force fields to refine the vibrational behavior of bond angles. It introduces a harmonic potential acting on the distance between the two atoms at the ends of a bond angle (the 1-3 interaction), effectively placing a spring across the angle. For experts, this term is a hallmark of the CHARMM force field family, used to couple bond stretching and angle bending modes to better reproduce vibrational frequencies obtained from spectroscopy. (UNVERIFIED)

Sub Class Of force field component c

time-dependent polarizability c

IRI http://purl.obolibrary.org/obo/MOLSIM_001382
Description

A specific type of polarizability that describes how a molecule's response to an electric field changes as a function of the field's frequency. This property is crucial for understanding how molecules interact with light, governing phenomena like light absorption and refraction. It is calculated using time-dependent quantum mechanical methods. This is a key output of time-dependent DFT (TD-DFT) calculations. (UNVERIFIED)

Sub Class Of polarizability c

statistical algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001751
Description

A statistical algorithm is a computational procedure that applies the principles of mathematical statistics to analyze and interpret data. These algorithms are used to summarize data, quantify uncertainty, and test hypotheses about the results. In simulation analysis, statistical algorithms are essential for calculating average properties, estimating errors, and determining if observed differences are meaningful. (UNVERIFIED)

Sub Class Of analysis algorithm c
Super Class Of

MemProtMD c

IRI http://purl.obolibrary.org/obo/MOLSIM_001954
Description

MemProtMD is a database that provides a collection of coarse-grained molecular dynamics simulations for membrane proteins found in the Protein Data Bank. It uses an automated pipeline to insert protein structures into lipid bilayers and simulate their equilibrium dynamics. This resource offers insights into the membrane orientation, lipid interactions, and stability of a vast number of membrane proteins. (UNVERIFIED)

Sub Class Of membrane packing tool c

xyzv format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000443
Description

A simple text-based file format for storing data that exists at various points in 3D space. Each line in the file specifies an x, y, and z coordinate, followed by the data value at that point. It is a straightforward, human-readable format for representing sparse or irregular grid data. (UNVERIFIED)

Sub Class Of volumetric data format c

Onufriev-Bashford-Case radii set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001571
Description

This is a widely used set of atomic sizes for calculating how a molecule interacts with an implicit water solvent in a simulation. The Onufriev-Bashford-Case (OBC) radii set is a collection of atomic radii specifically developed for use with the OBC family of Generalized Born (GB) implicit solvent models in AMBER. Using this matched set of radii is essential for the proper functioning of the OBC models, which are a popular and well-validated choice for implicit solvent simulations. (UNVERIFIED)

Sub Class Of radii set c

Ahlrichs VDZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000578
Description

Ahlrichs VDZ (Valence Double-Zeta) typically refers to an early basis set developed by Ahlrichs and coworkers that provides two basis functions for each valence atomic orbital ('Double-Zeta') but does not include polarization functions. While an improvement over minimal basis sets, the lack of polarization functions limits its accuracy for describing molecular geometries and properties. Modern Ahlrichs sets usually include polarization (e.g., def2-SVP). (UNVERIFIED)

Sub Class Of split-valence c

compressibility c

IRI http://purl.obolibrary.org/obo/MOLSIM_001183
Description

A pressure control parameter that specifies the compressibility of the solvent used in the simulation. This value is required by some barostat algorithms to correctly calculate the pressure and adjust the box volume. The compressibility is a physical property of the simulated medium. This is often set with the keyword comp. (UNVERIFIED)

Sub Class Of pressure control parameter c

ReaxFF c

IRI http://purl.obolibrary.org/obo/MOLSIM_001544
Description

ReaxFF is a specific and widely used type of reactive force field that can simulate chemical reactions by dynamically changing atomic connectivity. It uses a complex, bond-order-based potential to smoothly describe the energy landscape as bonds form and break. For computational chemists, ReaxFF provides a powerful tool to study complex reactive processes in large systems where full quantum mechanics would be computationally prohibitive. (UNVERIFIED)

Sub Class Of reactive force field c

FoldX c

IRI http://purl.obolibrary.org/obo/MOLSIM_000244
Description

A popular empirical force field and associated software tool specifically designed for rapid calculation of protein stability changes upon mutation (in silico mutagenesis). FoldX uses an energy function that includes terms relevant to protein folding stability (like VdW interactions, solvation energy, hydrogen bonds, electrostatics, entropy) to estimate the folding free energy of a protein structure and, importantly, the change in folding free energy (ΔΔG) caused by single or multiple point mutations. It's widely used for predicting mutation effects and in protein design. (UNVERIFIED)

Sub Class Of in-silico mutagenesis tool c

amber ff96 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000745
Description

A subsequent refinement of the AMBER ff94 protein force field parameter set, released around 1996. It included adjustments based on accumulated experience and new data, aiming to improve performance compared to ff94. Like ff94, it has been largely replaced by later versions but represents a step in the evolution. (UNVERIFIED)

Sub Class Of protein force field c

binding energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000951
Description

An energy analysis quantity representing the net energy change associated with the formation of a molecular complex from its individual, separated components in a specific reference state (e.g., gas phase or solution). It typically refers to the difference in potential energy or free energy between the bound complex and the unbound molecules, indicating the strength of the association (a more negative value implies stronger binding). Various computational methods (QM, MM-PBSA/GBSA) can estimate binding energies, sometimes including entropic and solvation effects (binding free energy). (UNVERIFIED)

Sub Class Of energy analysis c
Super Class Of

algorithm c

IRI http://purl.obolibrary.org/obo/IAO_0000064
Description

A plan specification which describes the inputs and output of mathematical functions as well as workflow of execution for achieving an predefined objective. Algorithms are realized usually by means of implementation as computer programs for execution by automata.

Sub Class Of plan specification c

water model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000067
Description

Within the context of solvation models, this typically refers to the use of an explicit solvent model where the solvent is specifically water, represented using a particular force field parameter set (e.g., TIP3P, SPC/E, TIP4P-Ew). This distinguishes it from implicit solvation approaches or explicit simulations using non-aqueous solvents. The term emphasizes that water molecules are being directly simulated using a chosen set of parameters defining their interactions. (UNVERIFIED)

Sub Class Of solvation model c

Kullback-Leibler divergence c

IRI http://purl.obolibrary.org/obo/MOLSIM_000119
Description

Kullback-Leibler (KL) divergence, also known as relative entropy, measures how one probability distribution (P) differs from a second, reference probability distribution (Q). It quantifies the information lost when distribution Q is used to approximate distribution P. KL divergence is non-negative, zero only if P and Q are identical, but it is not symmetric (KL(P||Q) != KL(Q||P)) and can be infinite. It quantifies the information lost when the second distribution is used to approximate the first. The Kullback-Leibler divergence is a fundamental concept in information theory used to compare distributions. This is often abbreviated as KL divergence. (UNVERIFIED)

Sub Class Of statistical property c

restraint mask c

IRI http://purl.obolibrary.org/obo/MOLSIM_001208
Description

A restraint parameter that specifies which atoms or groups of atoms in the system are subject to the restraining potential. The restraint mask allows for the application of restraints to specific parts of the molecule, such as the backbone or a particular residue. This is a key parameter for defining the scope of the restraints. This is often set with the keyword restraintmask. (UNVERIFIED)

Sub Class Of restraint parameter c

PC+ correction analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000618
Description

The PC+ correction method is a computational technique used to improve the accuracy of binding free energy calculations, particularly those using the MM/PBSA method. It applies an empirical correction based on the number and type of charged atoms at the protein-ligand interface to better account for the desolvation penalties of charged groups. This post-processing correction aims to fix systematic errors in the underlying continuum solvent model, leading to better agreement with experimental binding affinities. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

utility script c

IRI http://purl.obolibrary.org/obo/MOLSIM_001569
Description

A utility script is a small script designed to perform a specific, well-defined helper task within a larger computational workflow. These scripts are often used for tasks like converting between file formats, extracting a specific piece of information from a large output file, or preparing data for another program. For simulation practitioners, these small utilities are the glue that connects different steps in their research pipeline. (UNVERIFIED)

Sub Class Of script c
Super Class Of

minimization gradient tolerance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001171
Description

A specific minimization convergence criteria that sets the root-mean-square gradient threshold for terminating an energy minimization run. The minimization is considered converged when the RMS of the forces on the atoms is less than this gradient tolerance. This is a key parameter for controlling the strictness of the geometry optimization, often set with grms_tol. (UNVERIFIED)

Sub Class Of minimization convergence criteria c

force field parameter set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001499
Description

A force field parameter set is the collection of numerical values that gives a force field its specific characteristics for a particular type of molecule. These parameters define quantities like the ideal length of a chemical bond, the stiffness of a bond angle, and the partial charge on an atom. For simulation experts, selecting the correct parameter set, such as one specifically for proteins or lipids, is a critical step that determines the accuracy of the simulation. (UNVERIFIED)

Sub Class Of model c
Super Class Of

distance RMSD analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000313
Description

Distance RMSD analysis is a way to compare two molecular shapes based on their internal distances, without needing to align them first. As a type of structural analysis, this method calculates the root-mean-square deviation of a matrix of internal, pairwise atomic distances between two conformations, providing a metric of structural similarity that is independent of overall rotation and translation. This is particularly useful for comparing highly flexible molecules or for clustering based on internal conformational changes rather than global alignment. This is referred to in analysis scripts and publications as "dRMSD," "distance RMSD," or "internal distance matrix RMSD." (UNVERIFIED)

Sub Class Of structural analysis c

string method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000860
Description

The string method is a computational technique used to identify transition pathways, often Minimum Free Energy Paths (MFEPs), between stable states in a system described by a few collective variables. It represents the pathway as a discretized "string" (a series of connected points or images) in the collective variable space. The string evolves iteratively, driven by the estimated mean force perpendicular to the path, which is typically calculated by averaging forces from many short simulation trajectories initiated from points along the string. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of adaptive string method c

GAUSSIAN restart format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000891
Description

In Gaussian, restarting a calculation typically involves using the information stored in a checkpoint file (.chk). Specific keywords in the input file route section (like Geom=Checkpoint, Guess=Read, Opt=Restart, Freq=Restart) instruct Gaussian to read the necessary data (geometry, wavefunction, Hessian information) from the .chk file to continue the job from where it left off. This term refers to this process facilitated by the checkpoint file. (UNVERIFIED)

Sub Class Of simulation state format c

GFN1-xTB c

IRI http://purl.obolibrary.org/obo/MOLSIM_001539
Description

GFN1-xTB is a specific semi-empirical tight-binding quantum chemistry method that is part of the "xtended Tight-Binding" (xTB) family developed by Grimme and coworkers. It is a robust and broadly parameterized method designed for speed and reliability across a large portion of the periodic table. For experts, GFN1-xTB is a powerful tool for rapid geometry optimization and frequency calculations on large and complex molecules. (UNVERIFIED)

Sub Class Of semi-empirical method c

water type c

IRI http://purl.obolibrary.org/obo/MOLSIM_000030
Description

Refers to specific parameterizations or types of water models commonly used in biomolecular simulations, often used somewhat interchangeably with 'water model'. Each 'water type' (e.g., SPC, TIP3P, TIP4P-Ew) defines the geometry, number of interaction sites, and associated parameters (charges, Lennard-Jones) for representing water molecules. The choice significantly influences simulation outcomes, particularly solvation effects and dynamics. (UNVERIFIED)

Sub Class Of model c
Super Class Of

thermodynamics analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000610
Description

A type of analysis, often performed using data from simulations or specialized calculations complementary to MD, focused on determining the thermodynamic properties governing molecular systems. This includes calculating state functions like enthalpy, entropy, and particularly free energy, which dictate stability, equilibrium constants, and the spontaneity of molecular processes. Such analysis provides insights into the energetic driving forces behind biomolecular behavior. (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of

RMSD analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000311
Description

RMSD analysis is a calculation that measures how much a molecule's shape has changed over time compared to a starting shape. As a type of structural analysis, this method quantifies the global structural deviation by calculating the root-mean-square deviation of atomic coordinates between trajectory frames and a reference structure after optimal superposition. It is the most common procedure for assessing simulation stability, monitoring conformational transitions, and as a metric for clustering algorithms. Analysis scripts and outputs frequently use the terms "rmsd," "rms," "RMSD vs. time," and "backbone RMSD." (UNVERIFIED)

Sub Class Of structural analysis c

water system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001912
Description

A water system is a molecular simulation system that consists only of water molecules. These simulations are performed to study the fundamental properties of water itself, such as its density, diffusion rate, and hydrogen bonding network. For force field developers, simulating a pure water system is the most critical test for validating the accuracy of a new water model. (UNVERIFIED)

Sub Class Of molecular simulation system c

SCF c

IRI http://purl.obolibrary.org/obo/MOLSIM_000813
Description

Self-Consistent Field, the iterative computational procedure used to solve the equations in Hartree-Fock theory (and also in Density Functional Theory and some semi-empirical methods). The calculation starts with an initial guess for the electron distribution (orbitals), calculates the average field, finds new orbitals in that field, and repeats the process until the orbitals and the field they generate are consistent with each other. It is the numerical method for finding the Hartree-Fock solution, not the theory itself (UNVERIFIED).

Sub Class Of Hartree-Fock c

analysis algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001696
Description

An analysis algorithm is a specific set of computational rules applied to raw simulation data to calculate a meaningful property or identify a pattern. These algorithms are the core procedures that turn a trajectory of atomic coordinates into scientific insights. For experts, this category includes the specific implementations of algorithms for calculating RMSD, identifying hydrogen bonds, or assigning secondary structure within analysis programs. (UNVERIFIED)

Sub Class Of algorithm c
Super Class Of

GAMESS-US c

IRI http://purl.obolibrary.org/obo/MOLSIM_000780
Description

A widely used, freely available quantum chemistry software package (General Atomic and Molecular Electronic Structure System). It provides a broad range of quantum mechanical methods, from semi-empirical to high-level ab initio (HF, DFT, MP2, CCSD, MCSCF), and includes features for geometry optimization, vibrational analysis, and QM/MM simulations. GAMESS-US is extensively used in computational chemistry research and education for electronic structure calculations relevant to biomolecular systems. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

solute-solvent interaction cutoff c

IRI http://purl.obolibrary.org/obo/MOLSIM_001289
Description

A 3D-RISM parameter that specifies the cutoff distance for the solute-solvent interactions in the 3D-RISM calculation. This is a key parameter for controlling the computational cost and accuracy of the calculation. The solute-solvent interaction cutoff is often set with the keyword solvcut. (UNVERIFIED)

Sub Class Of 3D-RISM parameter c

force analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000607
Description

A structural analysis technique that involves calculating the forces acting on each atom for a given molecular configuration. These forces represent the negative gradient of the potential energy and indicate the direction and magnitude of the tendency for atoms to move to lower the system's energy. Analyzing forces is crucial for geometry optimization (where forces are minimized), understanding structural strain, and driving molecular dynamics simulations. (UNVERIFIED)

Sub Class Of structural analysis c

aMD potential alpha factor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001232
Description

An accelerated MD parameter that determines the strength of the boost potential applied to the total potential energy term. A smaller aMD potential alpha factor results in a larger boost. This is a key parameter for tuning the aMD simulation. This is often set with the keyword alphaP. (UNVERIFIED)

Sub Class Of accelerated MD parameter c

CpHMD solvent relaxation steps c

IRI http://purl.obolibrary.org/obo/MOLSIM_001261
Description

A constant pH parameter that specifies the number of solvent relaxation steps to be performed after a protonation state change. This allows the solvent to reorient around the newly charged or neutralized residue. The CpHMD solvent relaxation steps is a key parameter for ensuring a stable CpHMD simulation. This is often set with the keyword ntrelax. (UNVERIFIED)

Sub Class Of constant pH parameter c

nudged elastic band c

IRI http://purl.obolibrary.org/obo/MOLSIM_000856
Description

The Nudged Elastic Band (NEB) method is primarily used to find the Minimum Energy Path (MEP) connecting two known stable states (e.g., reactant and product) on a potential energy surface. It works by optimizing a discrete chain of intermediate structures (images) linking the start and end points. Forces acting on the images perpendicular to the path are minimized, while spring forces along the path ensure continuity, guiding the chain towards the MEP, including the transition state. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of partial nudged elastic band c

Forster resonance energy transfer c

IRI http://purl.obolibrary.org/obo/MOLSIM_000467
Description

Förster Resonance Energy Transfer, or FRET, is a specific phenomenon in fluorescence spectroscopy where an excited donor fluorophore non-radiatively transfers its energy to a nearby acceptor fluorophore. The efficiency of this energy transfer is extremely sensitive to the distance between the two molecules, making it a "spectroscopic ruler." For biophysicists, FRET is a powerful experimental method for measuring distances and distance changes within and between biomolecules, providing data that can be used to validate simulation results. (UNVERIFIED)

Sub Class Of fluoroscence spectroscopy c

Firefly c

IRI http://purl.obolibrary.org/obo/MOLSIM_000778
Description

Previously known as PC GAMESS, Firefly is a freely available quantum chemistry software package offering a wide range of ab initio and DFT methods. It is optimized for Intel-compatible x86 and x86-64 architectures and is known for its computational efficiency for certain types of calculations. Like GAMESS-US, it provides QM and limited QM/MM capabilities relevant to biomolecular studies, but is not a classical MD engine. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

general data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000910
Description

General data formats are versatile, often standardized ways to structure and exchange data that are not tied to a specific application domain like molecular simulation. Formats like XML or JSON use tags or key-value pairs to create hierarchical and self-describing data structures. They are sometimes employed in simulation contexts for storing metadata, configuration, or for facilitating data exchange between different tools. (UNVERIFIED)

Sub Class Of data format c
Super Class Of

density-functional based tight-binding c

IRI http://purl.obolibrary.org/obo/MOLSIM_000620
Description

Density-Functional based Tight-Binding (DFTB) is a specific type of semi-empirical quantum mechanical method that is derived from Density Functional Theory. It simplifies the DFT equations by using a minimal basis set and pre-calculated parameters for the interactions between different atom types. For experts, DFTB is a very fast quantum method that can be used to run QM/MM simulations or to study the electronic properties of very large systems. (UNVERIFIED)

Sub Class Of semi-empirical method c
Super Class Of self-consistent-charge density-functional based tight-binding c

scalar measurement datum c

IRI http://purl.obolibrary.org/obo/IAO_0000032
Description

A scalar measurement datum is a measurement datum that is composed of two parts, numerals and a unit label.

Sub Class Of measurement datum c
In Domain Of has measurement value dp
Restriction

computational method statistical measure analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000497
Description

This term refers to statistical metrics specifically employed to evaluate the performance, accuracy, or predictive capability of computational methods, such as those used in biomolecular simulation or quantitative structure-activity relationship (QSAR) modeling. These measures go beyond simple error metrics to assess aspects like robustness, predictive power on unseen data, or statistical significance of model improvements. (UNVERIFIED)

Sub Class Of hypothesis testing analysis c
Super Class Of predictive index of Pearman analysis c

solvent-solvent interaction energy density c

IRI http://purl.obolibrary.org/obo/MOLSIM_001812
Description

This is a 3D map that shows how the interaction energy between solvent molecules themselves is affected by the presence of a central solute. The value at each grid point represents the average interaction energy of the solvent at that location, revealing how the solute perturbs the solvent's natural cohesive network. This analysis is used to understand complex solvent reorganization effects, such as the strengthening of the water network that drives the hydrophobic effect. (UNVERIFIED)

Sub Class Of interaction energy c

umbrella sampling analysis parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001285
Description

A type of free energy analysis parameter that controls the analysis of umbrella sampling simulations to generate a potential of mean force. These parameters define the settings for the histogramming and reweighting procedure. The umbrella sampling analysis parameter settings are crucial for correctly combining the data from multiple windows. These are often set in the input file for a WHAM or MBAR analysis program. (UNVERIFIED)

Sub Class Of free energy analysis parameter c
Super Class Of potential mean force convergence step size c

structure preparation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000490
Description

Application programs focused on preparing, modifying, and validating molecular structures, particularly those obtained from experimental sources like the Protein Data Bank (PDB), before they are used in simulations. Tasks include adding missing atoms (like hydrogens), correcting structural issues, building missing loops, modeling mutations, protonating residues, and generating initial conformations. Examples range from specialized academic tools (like PDB2PQR) to comprehensive commercial modeling suites (like MOE, Schrödinger Maestro, SYBYL). (UNVERIFIED)

Sub Class Of modeling and setup tool c
Super Class Of

charge-dependent van der Waals correction c

IRI http://purl.obolibrary.org/obo/MOLSIM_001538
Description

This is an advanced force field feature where the size of an atom (its van der Waals radius) can change depending on its partial atomic charge. This correction is used to model the physical effect where a positively charged atom tends to be smaller and a negatively charged atom tends to be larger. It is a feature of some advanced or polarizable force fields designed to provide a more accurate description of intermolecular interactions, especially for ions and highly polar molecules. (UNVERIFIED)

Sub Class Of QM/MM model component c

microsecond c

IRI http://purl.obolibrary.org/obo/UO_0000029
Description

A time unit which is equal to one millionth of a second or 10^[-6] s.

Sub Class Of second based unit c

molecular topology format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001091
Description

A topology file defines the constituent atoms of a molecular system, how they are bonded together (connectivity), and the specific force field parameters associated with them. This includes atom types, partial charges, and parameters for bonds, angles, dihedral angles, and non-bonded interactions (like Lennard-Jones parameters). It essentially provides the 'rules' for how atoms interact in a molecular mechanics simulation. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

amber glycam 06 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000738
Description

A specific parameter set within the AMBER family, developed by the GLYCAM group for simulating carbohydrates (glycans). Released around 2006, it provides parameters for common monosaccharides and the glycosidic linkages between them, enabling the study of oligosaccharides and the carbohydrate portions of glycoproteins/glycolipids. It is designed to be compatible with AMBER protein/lipid force fields. (UNVERIFIED)

Sub Class Of carbohydrates force field c

energy decomposition analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000606
Description

An energy analysis technique designed to partition the total interaction energy between two or more interacting molecular fragments (e.g., in a complex) into physically meaningful components based on the underlying quantum mechanical or molecular mechanical framework. Common components include electrostatics, exchange-repulsion (Pauli repulsion), polarization (induction), and charge transfer (or dispersion in some schemes), providing insights into the nature of the forces driving the interaction. Different EDA schemes exist (e.g., Morokuma, SAPT, FMO-EDA). (UNVERIFIED)

Sub Class Of energy analysis c

lipid distribution analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001871
Description

Lipid distribution refers to the spatial arrangement and composition of different types of lipid molecules within a simulated membrane. In a mixed bilayer, lipids are often not randomly distributed but can form distinct domains or clusters, and some lipids may preferentially accumulate around an embedded protein. Analyzing this distribution is crucial for understanding membrane organization and the specific lipid environment required for a membrane protein's function. (UNVERIFIED)

Sub Class Of distribution analysis c

velocity generation c

IRI http://purl.obolibrary.org/obo/MOLSIM_002034
Description

elocity generation is a configuration parameter used at the start of a molecular dynamics simulation to assign initial kinetic energies to the atoms in the system. It typically involves generating random velocity vectors derived from a Maxwell-Boltzmann distribution that corresponds to a user-specified reference temperature. For experts, enabling this option (e.g., gen-vel = yes) is standard when starting from energy-minimized coordinates, but it must be strictly disabled during restart or continuation runs to preserve the momentum and ensemble trajectory of the previous segment. (UNVERIFIED)

Sub Class Of system setup parameter c

cross-validation errors analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000133
Description

Cross-validation errors are error metrics calculated using a cross-validation procedure, where a dataset is repeatedly partitioned into training subsets (used to build a model) and testing subsets (used to evaluate the model's predictions). Averaging the errors obtained on the independent testing subsets provides a more robust estimate of the model's generalization performance (how well it predicts unseen data) compared to evaluating only on the training data. (UNVERIFIED)

Sub Class Of convergence and uncertainty quantification analysis c

total correlation function c

IRI http://purl.obolibrary.org/obo/MOLSIM_001424
Description

A specific type of correlation function that describes the total correlation between two particles in a liquid, including both direct and indirect effects mediated by other particles. It is a key quantity in the statistical mechanics of liquids. The total correlation function is related to the pair-distribution function. This is often denoted as h(r). (UNVERIFIED)

Sub Class Of correlation function c

extended beta conformation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001791
Description

An extended beta conformation is a stretch of a protein chain that is fully straightened out into a zig-zag shape. It describes a single polypeptide segment, or beta-strand, that has backbone dihedral angles corresponding to a fully extended, planar zig-zag structure. These extended strands are the fundamental building blocks that line up next to each other to form larger beta-sheet structures. (UNVERIFIED)

Sub Class Of secondary structure c

carbohydrate system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001888
Description

A carbohydrate system is a type of molecular simulation system where the primary molecule being studied is a carbohydrate. This can range from a single sugar molecule in water to a complex polysaccharide or the glycan portion of a glycoprotein. For experts, these systems require specialized force fields and analysis techniques to accurately model the unique stereochemistry and flexibility of glycosidic linkages. (UNVERIFIED)

Sub Class Of molecular simulation system c

Tversky index algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000076
Description

A molecular similarity measure that compares two molecular structures by calculating their overlap while allowing asymmetric weighting through parameters α and β. The measure ranges from 0 (completely different) to 1 (identical), and can be adjusted to emphasize either the reference or query molecule in the comparison. It is particularly useful in molecular screening as it can identify both substructure and superstructure relationships between molecules.

Sub Class Of similarity calculation algorithm c
Super Class Of

concentration unit c

IRI http://purl.obolibrary.org/obo/UO_0000051
Description

A unit which represents a standard measurement of how much of a given substance there is mixed with another substance.

Sub Class Of unit c
Super Class Of unit of molarity c

internal dielectric constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001196
Description

A specific dielectric constant parameter used in continuum solvent models like Poisson-Boltzmann or Generalized Born. It represents the dielectric constant of the solute molecule itself, which is typically low to reflect its non-polar interior. The internal dielectric constant is a key parameter for MM/PBSA and MM/GBSA calculations. This is often set with the keyword indi or epsin. (UNVERIFIED)

Sub Class Of dielectric constant c

framework c

IRI http://purl.obolibrary.org/obo/MOLSIM_000157
Description

A reusable software platform or environment that provides a basic structure and set of tools or libraries for developing applications or performing complex tasks within a specific domain. In biomolecular simulation, a framework might offer standardized ways to set up simulations, manage data, integrate different tools, or build custom analysis workflows, providing a higher level of abstraction than individual tools or scripts. Examples could include workflow management systems (like Galaxy, KNIME adapted for simulation) or simulation setup environments (like CHARMM-GUI). (UNVERIFIED)

Source https://doi.org/10.1002/jcc
Sub Class Of software c
Super Class Of

protein-protein system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001902
Description

A protein-protein system is a specific type of protein complex system composed of two or more interacting protein molecules. These interactions are the basis for most cellular signaling pathways and structural assemblies. For researchers, simulating these systems is crucial for understanding how proteins form functional complexes and for designing drugs that can modulate these interactions. (UNVERIFIED)

Sub Class Of protein complex system c

Maestro format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002062
Description

The Maestro format (typically .mae or .maegz) is the native, hierarchical file format of the Schrödinger software suite, used to store molecular structures along with extensive property data. As a prediction data format, it is frequently used to encapsulate the output of predictive modeling workflows like Glide docking, embedding algorithmic metadata such as docking scores, physical descriptors, and predicted interaction energies directly alongside the atomic coordinates. (UNVERIFIED)

Sub Class Of

meter per second c

IRI http://purl.obolibrary.org/obo/UO_0000094
Description

A speed/velocity unit which is equal to the speed of an object traveling 1 meter distance in one second.

Sub Class Of meter per second based unit c

well-tempered pseudo-temperature c

IRI http://purl.obolibrary.org/obo/MOLSIM_001244
Description

A well-tempered metadynamics parameter that controls the rate at which the height of the added Gaussian hills decreases. A higher well-tempered pseudo-temperature results in a faster convergence but a less detailed exploration of the energy landscape. This is a key parameter for tuning the well-tempered metadynamics simulation. This is often set with the keyword wt_temperature. (UNVERIFIED)

Sub Class Of well-tempered metadynamics parameter c

replica exchange algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001967
Description

An enhanced sampling algorithm that manages multiple parallel simulation replicas running at different thermodynamic states (e.g., temperatures or Hamiltonians). It evaluates and periodically attempts to swap the states of these replicas based on a Metropolis-style acceptance criterion to facilitate barrier crossing and improve conformational sampling. (UNVERIFIED)

Sub Class Of enhanced sampling algorithm c

pascal based unit c

IRI http://purl.obolibrary.org/obo/UO_1000110
Sub Class Of pressure unit c
Super Class Of bar c

MR-CCSD c

IRI http://purl.obolibrary.org/obo/MOLSIM_000835
Description

Multi-Reference Coupled Cluster with Single and Double excitations, a high-accuracy quantum chemistry method that incorporates dynamic electron correlation using the coupled-cluster approach built upon a multi-reference starting wavefunction (obtained from methods like CASSCF). It aims to provide a highly accurate description for systems where both static (multi-reference character) and dynamic correlation effects are significant. These calculations are computationally very expensive (UNVERIFIED).

Sub Class Of multi-reference c

molecular data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001085
Description

A category for file formats designed to store information about molecules, such as their structure, movement, or the forces governing them. These formats provide standardized ways to represent molecular systems for use in computational chemistry and biology software. This class includes formats for atomic coordinates, trajectories, and force field parameters. (UNVERIFIED)

Sub Class Of data format c
Super Class Of

Langevin thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000045
Description

A thermostat algorithm that mimics the effect of solvent collisions by adding random stochastic forces (noise) and frictional forces (drag) to the equations of motion for particles. This approach directly simulates the exchange of energy with an implicit heat bath, ensuring the system samples the canonical (NVT) ensemble. It is known for its robustness and ability to explore conformational space efficiently (UNVERIFIED).

Sub Class Of thermostat algorithm c

force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000007
Description

A force field is a set of mathematical functions and associated parameters used to calculate the potential energy of a system of atoms based on their positions. It defines the forces governing interactions within molecules and between different molecules, enabling the simulation of molecular behavior. Force fields are the heart of classical molecular dynamics and modeling, providing the rules that dictate how atoms move and interact. (UNVERIFIED)

Sub Class Of model c
Super Class Of

cc-pCVTZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000535
Description

The cc-pCVTZ (correlation-consistent polarized Core-Valence Triple-Zeta) basis set extends the cc-pVTZ basis by including tight functions optimized for describing core-valence electron correlation effects. It provides a more accurate treatment of systems where core electron contributions are significant compared to cc-pCVDZ, consistent with the triple-zeta valence description. It is computationally more demanding than standard cc-pVTZ. (UNVERIFIED)

Sub Class Of split-valence c

convergence and uncertainty quantification analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000135
Description

Methods used to determine whether a simulation has been run long enough to adequately sample the relevant state space (convergence) and to estimate the statistical uncertainty or error bounds associated with the calculated results. Proper convergence assessment and uncertainty quantification are crucial for establishing the reliability of simulation predictions. Techniques often involve analyzing time series data or using statistical resampling. (UNVERIFIED)

Sub Class Of statistical analysis c
Super Class Of

ParmAM1 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001451
Description

This is a set of rules for describing how atoms in a molecule interact, based on a fast, approximate quantum mechanical method called AM1. It is a force field parameter set where the bonded parameters (bonds, angles, dihedrals) are derived from or made compatible with the AM1 semi-empirical quantum method. This approach allows for a consistent energy model when combining quantum and classical descriptions or for quickly parameterizing novel organic molecules. (UNVERIFIED)

Sub Class Of organic molecule force field c

statistical test analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000124
Description

A statistical test is a specific procedure used within the framework of hypothesis testing to decide whether to reject or fail to reject the null hypothesis. It involves calculating a test statistic (a value derived from the sample data) and comparing it to a critical value or calculating a p-value (the probability of observing the data, or more extreme data, if the null hypothesis were true). Examples include t-tests, chi-squared tests, and ANOVA. (UNVERIFIED)

Sub Class Of hypothesis testing analysis c
Super Class Of

amber OL15 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001444
Description

The amber OL15 force field is a set of parameters for simulating DNA, designed for use with the AMBER software package. It is a refinement of previous DNA models from the Olomouc group that provides a more accurate description of the DNA backbone's flexibility and conformational preferences. This force field was a significant improvement for achieving realistic DNA structures and dynamics in simulations. (UNVERIFIED)

Sub Class Of DNA force field c

numerical analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000367
Description

Numerical analysis is a field of mathematics that uses computer algorithms to find approximate solutions to complex problems. As a type of analysis method, it encompasses techniques that rely on numerical approximation rather than exact analytical solutions, which is fundamental to nearly all of computational chemistry. This includes procedures like numerical integration to solve equations of motion or matrix diagonalization to find principal components. This is a broad theoretical concept, but related terms in software include "integrator," "diagonalization," "solver," and "numerical precision." (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of

binding free energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001315
Description

A type of free energy that quantifies the affinity of two molecules binding to each other, such as a drug binding to a protein. It represents the free energy change upon moving the molecules from an unbound, solvated state to a bound complex. The binding free energy is a critical result in drug discovery and is the primary output of methods like MM/PBSA and alchemical calculations. This value is often reported as DELTA G, Binding Energy, or ETOT. (UNVERIFIED)

Sub Class Of free energy property c

molecular trajectory analysis format c

IRI http://purl.obolibrary.org/obo/MOLSIM_010020
Description

A molecular trajectory analysis format is a specialized file structure designed to store processed data derived from the analysis of a molecular dynamics simulation. These formats typically contain derived quantities, such as secondary structure timelines, pairwise distance matrices, or principal component vectors, rather than raw atomic coordinates. They allow for the efficient storage and rapid retrieval of complex analysis results without the need to re-process the massive original trajectory files. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

SQM input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001057
Description
  • An input file format for the semi-empirical QM program SQM.

  • An input file format for the SQM program, which performs a type of quantum mechanical calculation. It contains keywords and molecular geometry specifications that control the semi-empirical quantum mechanics calculation within the AmberTools suite. This format is typically used for generating atomic charges for new molecules. (UNVERIFIED)

Sub Class Of simulation input format c

amber ff94 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000744
Description

An early, widely influential all-atom protein force field parameter set from the AMBER family, released around 1994. It provided a complete set of parameters for proteins and became a benchmark for subsequent developments. While largely superseded by newer versions (ff96, ff99, ff99SB, ff14SB etc.), its development laid crucial groundwork. (UNVERIFIED)

Sub Class Of protein force field c

neural network atom type c

IRI http://purl.obolibrary.org/obo/MOLSIM_001764
Description

A neural network atom type is a sophisticated classification used in machine learning force fields to describe an atom's local chemical environment. Instead of a simple text label, it is often represented as a vector of numerical features that quantitatively describe the neighboring atoms and their geometry. This detailed, continuous representation allows the neural network to learn and predict complex, environment-dependent interatomic potentials with high accuracy. (UNVERIFIED)

Sub Class Of atom type c

chemical structure database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000699
Description

A small molecule database primarily focused on storing and providing access to 2D and 3D chemical structures, identifiers, and physicochemical properties of diverse chemical compounds. These are fundamental for chemical information retrieval and computational chemistry. PubChem Compound and ZINC are key examples. (UNVERIFIED)

Sub Class Of small molecule database c

accelerated weight histogram c

IRI http://purl.obolibrary.org/obo/MOLSIM_001993
Description

The Accelerated Weight Histogram (AWH) method is an adaptive sampling technique used to calculate the free energy landscape of a molecular process. It improves sampling by applying a dynamic biasing force that flattens the energy barriers along a reaction coordinate, constantly adjusting this bias based on the history of where the simulation has visited. For experts, AWH solves for the free energy by evolving the bias function towards a target distribution (often uniform) using a recursive update scheme that converges more robustly than standard adaptive biasing force or metadynamics methods. (UNVERIFIED)

Sub Class Of enhanced sampling c

exclusions c

IRI http://purl.obolibrary.org/obo/MOLSIM_001997
Description
  • Defines the concept of the exclusion list/rule.

  • A configuration setting or list within a molecular topology that identifies pairs of atoms whose non-bonded interactions (electrostatic and van der Waals) should be ignored during force calculation. These exclusions typically apply to atoms connected by one or two covalent bonds (1-2 and 1-3 pairs) to prevent conflicts with bonded energy terms. For experts, exclusion rules vary by force field (e.g., AMBER scales 1-4 interactions, while CHARMM or GROMOS may exclude them entirely), making this a critical factor in topology conversion. (UNVERIFIED)

Sub Class Of non-bonded interaction parameter c

well-tempered adaptively biased molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000377
Description

Well-tempered adaptively biased molecular dynamics is a refinement of methods like metadynamics that ensures the simulation will eventually converge. It works by gradually reducing the size of the energy hills added to the bias potential as the simulation progresses. For experts, this well-tempered variant prevents the bias potential from growing infinitely, ensuring that the underlying free energy surface can be accurately recovered. (UNVERIFIED)

Sub Class Of adaptively biased molecular dynamics c

electric field strength unit c

IRI http://purl.obolibrary.org/obo/UO_0000267
Description

The electric field strength is a unit which is a measure of the potential difference between two points some distance apart.

Sub Class Of unit c
Super Class Of volt per meter based unit c

GAMESS output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000882
Description

The GAMESS output file (.log or .out) is the primary text file generated by the GAMESS (US) quantum chemistry program. It contains a comprehensive record of the calculation, including echoed input parameters, details about the basis set and molecular geometry, step-by-step convergence information (e.g., for SCF or geometry optimization), final energies, molecular orbital information, and various calculated properties. This file is essential for extracting and analyzing results. (UNVERIFIED)

Sub Class Of simulation log format c

trajectory comparison c

IRI http://purl.obolibrary.org/obo/MOLSIM_001886
Description

Trajectory comparison is a specific type of meta-analysis where two or more simulation trajectories are quantitatively compared to identify similarities and differences in their conformational sampling. This is often done by calculating metrics that measure the overlap of the conformational ensembles or by projecting the trajectories onto a common free energy landscape. For experts, this method is used to rigorously assess the impact of a mutation or ligand binding on a protein's dynamics. (UNVERIFIED)

Sub Class Of trajectory meta analysis c

crankshaft motion c

IRI http://purl.obolibrary.org/obo/MOLSIM_001794
Description

A crankshaft motion is a specific type of local twisting motion that can occur in a long, chain-like molecule such as a protein. This movement resembles the rotation of a crankshaft in an engine, where a central segment of the chain rotates while its two ends remain relatively stationary. This conformational transition allows for a local rearrangement of the molecular backbone without significantly disturbing the rest of the structure, representing a key mechanism for flexibility. (UNVERIFIED)

Sub Class Of conformational transition c

hypothesis testing analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000348
Description

Hypothesis testing provides a formal statistical framework for making decisions about population parameters or relationships based on sample data. It involves formulating a null hypothesis (typically stating no effect or no difference) and an alternative hypothesis, then using a statistical test on the data to determine whether there is enough evidence to reject the null hypothesis in favor of the alternative. This process helps draw objective conclusions from data analysis. (UNVERIFIED)

Sub Class Of statistical analysis c
Super Class Of

residue library c

IRI http://purl.obolibrary.org/obo/MOLSIM_001711
Description

A residue library is a data file that contains the complete definition of a molecular building block, or residue, for use in a simulation. It specifies the names and types of all atoms in the residue, their partial charges, and their internal connectivity in terms of bonds, angles, and dihedrals. For simulation software, these libraries are the fundamental database from which the topology of a large molecule like a protein is constructed. (UNVERIFIED)

Sub Class Of force field component c
Super Class Of

solvent analysis data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001106
Description

This is a category for file formats that store the results from analyzing the arrangement and properties of solvent molecules around a central molecule. These formats typically contain data on a 3D grid, representing quantities like the probability of finding a solvent atom or the average interaction energy at different points in space. Common examples include formats for storing solvent density maps or various correlation functions calculated by methods like 3D-RISM theory. (UNVERIFIED)

Sub Class Of solvent analysis format c

electronic spectroscopy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001014
Description

Electronic spectroscopy focuses on transitions of electrons between different energy levels within atoms and molecules. These transitions typically involve the absorption or emission of ultraviolet (UV) or visible light. Studying these spectra reveals information about molecular orbitals, bonding, and the overall electronic structure of the substance. (UNVERIFIED)

Sub Class Of spectroscopy c
Super Class Of

LANL2DZdp ECP c

IRI http://purl.obolibrary.org/obo/MOLSIM_000518
Description

LANL2DZdp ECP signifies the LANL2DZ ECP basis set augmented with standard polarization functions. Specifically, 'd' indicates that d-type polarization functions are added to the heavy atoms treated by the ECP, and 'p' indicates that p-type polarization functions are added to hydrogen atoms (and possibly other light atoms not covered by the ECP). This addition significantly improves the accuracy for describing molecular geometries and interaction energies. (UNVERIFIED)

Sub Class Of split-valence c

application programming interface c

IRI http://purl.obolibrary.org/obo/MOLSIM_001562
Description

An application programming interface (API) is a set of rules and definitions that allows different software components or applications to communicate with each other. It acts as an intermediary, specifying the types of requests that can be made, how to make them, and the data formats that should be used. For developers, APIs are essential for building modular software, enabling a simulation tool to leverage the capabilities of a specialized mathematics library or a parallel computing framework. (UNVERIFIED)

Sub Class Of software component c
Super Class Of

simulated annealing algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000094
Description

A probabilistic heuristic algorithm used for finding the global optimum of a function in a large search space, inspired by the annealing process in metallurgy. It starts with an initial solution and iteratively explores neighboring solutions, accepting worse solutions with a probability that decreases over time (controlled by a "temperature" parameter), allowing it to escape local optima. It is a metaheuristic for global optimization (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

DFTB max iterations c

IRI http://purl.obolibrary.org/obo/MOLSIM_001250
Description

A DFTB parameter that specifies the maximum number of self-consistent charge (SCC) iterations for the DFTB calculation. This parameter controls the convergence of the DFTB calculation. The DFTB max iterations is a key parameter for ensuring a converged electronic structure. This is often set with the keyword dftb_maxiter. (UNVERIFIED)

Sub Class Of DFTB parameter c

targeted MD parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001237
Description

A type of enhanced sampling parameter that controls a targeted molecular dynamics (TMD) simulation. These parameters define the target structure and the strength of the biasing potential used to guide the simulation towards it. The targeted MD parameter settings are essential for simulating large-scale conformational transitions between known start and end states. These are often set in a specific tmd section of the input file. (UNVERIFIED)

Sub Class Of enhanced sampling parameter c
Super Class Of

base pair step parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001366
Description

A type of nucleic acid parameter that describes the relative geometry and orientation between two successive base pairs in a helix. These parameters define the local helical structure. They are essential for characterizing the sequence-dependent variations in DNA and RNA structure. These parameters include shift, slide, rise, tilt, roll, and twist. (UNVERIFIED)

Sub Class Of nucleic acid parameter c
Super Class Of

MPDyn crd format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001038
Description

A file format for the MPDyn simulation program that stores the atomic coordinates of a molecular system. This format contains the x, y, and z positions for each atom, structured for use with the MPDyn software package. It provides the essential structural input for running simulations with MPDyn. (UNVERIFIED)

Sub Class Of crd format c

PDB2PQR c

IRI http://purl.obolibrary.org/obo/MOLSIM_000221
Description

A widely used software tool (available as a web server and standalone package) that automates many common tasks in preparing biomolecular structures (from PDB files) for continuum electrostatics calculations or simulations. Its core functions include adding missing heavy atoms, adding and optimizing hydrogen atom positions, assigning charges and radii from a chosen force field, and determining residue protonation states at a specified pH using the PROPKA algorithm internally. It outputs the structure in PQR format (PDB with Charge and Radius). (UNVERIFIED)

Sub Class Of generic protonation tool c

p-value threshold c

IRI http://purl.obolibrary.org/obo/MOLSIM_001273
Description

A statistical analysis parameter that specifies the significance level (alpha) used in hypothesis testing. If the calculated p-value is below the p-value threshold, the result is considered statistically significant. This is a fundamental parameter for controlling the interpretation of statistical tests. This is often set to a value like 0.05 or 0.01. (UNVERIFIED)

Sub Class Of statistical analysis parameter c

PM6 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000821
Description

Parameterization Method 6, a relatively recent all-valence-electron semi-empirical quantum method based on the NDDO approximation, intended as an improvement over PM3 and AM1. It was parameterized against a broader range of experimental and high-level theoretical data, including data for more elements, aiming for greater accuracy and applicability across the periodic table. It often includes corrections for dispersion interactions and hydrogen bonds (UNVERIFIED).

Sub Class Of PM3 c

constrained bonds c

IRI http://purl.obolibrary.org/obo/MOLSIM_001204
Description

A constraint parameter that specifies which bonds in the system should be constrained. Common choices include constraining all bonds, only bonds involving hydrogen, or no bonds. The constrained bonds parameter determines which degrees of freedom are removed from the system. This is often set with a keyword that specifies the scope of the constraints, such as all-bonds or h-bonds. (UNVERIFIED)

Sub Class Of constraint parameter c

aug-cc-pV8Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000549
Description

The aug-cc-pV8Z basis sets augment the already extremely large cc-pV8Z sets with diffuse functions. These are highly specialized research basis sets used almost exclusively for theoretical studies on atomic or diatomic systems to explore the fine details of convergence towards the complete basis set limit for properties sensitive to diffuse electron density. They are computationally impractical for molecular calculations. (UNVERIFIED)

Sub Class Of split-valence c

CHARMM c

IRI http://purl.obolibrary.org/obo/MOLSIM_000248
Description

A versatile and long-established software package for molecular simulation, encompassing molecular mechanics (MM) and dynamics (MD), as well as capabilities for QM/MM and complex modeling tasks (stands for Chemistry at HARvard Macromolecular Mechanics). CHARMM is associated with its own widely used force field family (e.g., CHARMM36) and provides extensive functionalities for preparing, running, and analyzing simulations, particularly for proteins, lipids, nucleic acids, and carbohydrates. Both a free academic version and a licensed version (CHARMM/GUI, CHARMM) exist. (UNVERIFIED)

Sub Class Of software suite c

ZLM density fitting c

IRI http://purl.obolibrary.org/obo/MOLSIM_000379
Description

ZLM density fitting is a computational technique used to accelerate quantum chemistry calculations by simplifying the evaluation of electron-electron interactions. The method approximates the electron density using a combination of radial spline functions and real spherical harmonics (Zlm) centered on each atom. This approach significantly reduces the computational cost of calculating the Coulomb potential without a major loss of accuracy. (UNVERIFIED)

Sub Class Of numerical analysis c

lipid17 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000020
Description

A specific lipid force field parameter set developed for the AMBER simulation package, released around 2017. It represents an update to Lipid14, incorporating refinements and potentially expanding the range of covered lipid types or improving accuracy for membrane simulations. It's designed for simulating lipid bilayers and membrane proteins. (UNVERIFIED)

Sub Class Of lipid force field c

ref Tversky c

IRI http://purl.obolibrary.org/obo/MOLSIM_000085
Description

A specialized variant of the Tversky Index that uses fixed parameters with the alpha (α) value of = 0.95, and beta (β) value of = 0.05 to heavily weight the reference molecule in the comparison. This asymmetric weighting makes it particularly effective at finding molecules that contain the reference structure as a substructure. RefTversky is commonly used in virtual screening to identify compounds that preserve key structural features of a reference molecule.

Sub Class Of Tversky index algorithm c

potential mean force analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000237
Description

The Potential of Mean Force (PMF) method calculates the free energy profile of a system as a function of one or more specific coordinates, often called reaction coordinates or order parameters (e.g., the distance between two molecules). It essentially describes the effective potential energy governing the system's behavior along those chosen coordinates, including entropic effects averaged over all other degrees of freedom. PMFs are crucial for understanding reaction mechanisms, binding processes, and conformational changes. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

nucleic acid complex system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001895
Description

A nucleic acid complex system is a type of complex system where the interacting components are two or more nucleic acid molecules. This can include a standard DNA double helix, an RNA duplex, or more complex structures like DNA-RNA hybrids or multi-stranded RNA junctions. For experts, these simulations are crucial for understanding the structure and stability of the genetic material and functional RNA molecules. (UNVERIFIED)

Sub Class Of complex system c
Super Class Of

Beeman integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_001692
Description

The Beeman integrator is a specific type of integration algorithm used to solve the equations of motion in a molecular dynamics simulation. It is mathematically related to the more common Verlet algorithm but uses a different formula that calculates positions and velocities with high accuracy. For experts, the Beeman integrator is known for its good energy conservation properties, although it can be more computationally complex than the standard velocity-Verlet algorithm. (UNVERIFIED)

Sub Class Of integration algorithm c

MOPAC c

IRI http://purl.obolibrary.org/obo/MOLSIM_000785
Description

A widely used semi-empirical quantum chemistry software package (Molecular Orbital PACkage). It implements methods like AM1, PM3, PM6, PM7, which are much faster than ab initio or DFT methods, allowing calculations on larger systems or longer timescales, albeit typically with lower accuracy. MOPAC is often used for rapid geometry optimization, property estimation, or as the QM component in QM/MM calculations where speed is critical. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

modeling and setup tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001850
Description

A modeling and setup tool is a type of software used to construct and prepare a molecular system before a simulation is run. This involves tasks like building a molecule from scratch, repairing a structure from an experimental database, or surrounding a protein with water molecules to mimic its natural environment. For an expert, these tools are essential for creating a chemically correct and physically stable starting point, which is a prerequisite for any meaningful simulation. (UNVERIFIED)

Sub Class Of simulation and modeling software c
Super Class Of

OpenMM c

IRI http://purl.obolibrary.org/obo/MOLSIM_001675
Description

OpenMM is a high-performance software library that provides a toolkit for running molecular dynamics simulations, with a strong emphasis on GPU acceleration. It is not a monolithic application but rather a flexible library that allows developers to easily add simulation capabilities to their own programs. For the simulation community, OpenMM provides a powerful, hardware-accelerated, and easily customizable platform for developing new simulation methods and applications. (UNVERIFIED)

Sub Class Of

Bennett acceptance ratio analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000301
Description

The Bennett Acceptance Ratio (BAR) method is a statistically optimal technique for calculating the equilibrium free energy difference between two thermodynamic states (A and B) using simulation data generated in both states. It provides the lowest variance estimate of the free energy difference for a given amount of simulation data by optimally combining forward (A->B) and reverse (B->A) transition information. It is closely related to MBAR but specifically for two states. (UNVERIFIED)

Sub Class Of free energy and molecular dynamics analysis c

electrostatic embedding QM/MM c

IRI http://purl.obolibrary.org/obo/MOLSIM_000628
Description

Electrostatic embedding is a widely used and more accurate scheme for combining the QM and MM regions in a QM/MM simulation. In this approach, the partial charges of the MM atoms are included in the quantum mechanical calculation, allowing the electrostatic field of the environment to polarize the electronic structure of the QM region. For experts, this method provides a much more physically realistic description of the interaction between the reactive site and its protein or solvent environment. (UNVERIFIED)

Sub Class Of QM/MM simulation c

tool web server c

IRI http://purl.obolibrary.org/obo/MOLSIM_000714
Description

A tool web server is an online platform that provides access to specific computational software or algorithms through a user-friendly browser interface. Unlike a database server that retrieves stored data, a tool server accepts user input data, processes it using remote computing resources, and returns the calculation results. These servers are vital for making complex simulation and modeling tasks, such as docking or property prediction, accessible to researchers without local high-performance hardware. (UNVERIFIED)

Sub Class Of web server c
Super Class Of

tetrahedral order parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001819
Description

The tetrahedral order parameter is a measure of how well the water molecules surrounding a central water molecule are arranged in a perfect pyramid-like shape. It is a quantitative measure that describes the local structure of a liquid by calculating how closely the arrangement of a central molecule and its four nearest neighbors resembles a perfect tetrahedron. In simulations of water, this parameter is used to characterize the degree of local structure and hydrogen bonding, with a higher value indicating a more ordered, ice-like arrangement. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of normalized tetrahedral order parameter c

Davies-Bouldin Index c

IRI http://purl.obolibrary.org/obo/MOLSIM_001417
Description

A specific clustering quality metric that is calculated as the average similarity between each cluster and its most similar one. A lower Davies-Bouldin Index indicates a better clustering, where clusters are dense and well-separated. It is a common metric for evaluating the output of a clustering algorithm. This is often abbreviated as DBI. (UNVERIFIED)

Sub Class Of clustering quality metric c

external point charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001459
Description

An external point charge model is a specific type of external field model where the field is generated by one or more fixed point charges placed in or around the system. This approach is often used to mimic the electrostatic effect of a specific ion, a charged functional group, or a simplified active site environment without explicitly simulating those atoms. For experts, this model is implemented by adding Coulomb's law interaction terms between the system's atoms and the fixed external charges. (UNVERIFIED)

Sub Class Of external field model c

gmx c

IRI http://purl.obolibrary.org/obo/MOLSIM_001926
Description

The gmx command is the primary user interface for the GROMACS molecular dynamics software suite. It is not a single program but a command-line wrapper that provides access to all of GROMACS's individual tools for simulation setup, execution, and analysis. By typing 'gmx' followed by a specific subcommand, such as 'gmx rms' or 'gmx solvate', users can perform nearly every task in a standard simulation workflow. (UNVERIFIED)

Sub Class Of trajectory processing tool c

running average c

IRI http://purl.obolibrary.org/obo/MOLSIM_001808
Description

A running average is a calculation that helps to smooth out noisy data by continuously averaging values over a sliding time window. In a simulation, a running average of a property like the total energy is calculated by averaging over a set number of recent steps as the simulation progresses. Monitoring the running average is a standard and effective method for assessing when a simulation has reached a stable equilibrium state. (UNVERIFIED)

Sub Class Of statistical property c

GROMACS mdp format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000156
Description

The GROMACS mdp format is the specific simulation parameter format used by the GROMACS software package. The file, which typically has a ".mdp" extension, contains a series of keyword-value pairs that control every aspect of the simulation run, from the integrator and time step to the thermostat and pressure coupling methods. For GROMACS users, creating and editing the mdp file is the primary way to define the simulation protocol. (UNVERIFIED)

Sub Class Of simulation parameter format c

cell replication analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000663
Description

A cell replication method is a procedure used in system setup to create a larger system, known as a supercell, by duplicating the original simulation unit cell in one or more dimensions. This is commonly used in materials science simulations to model bulk crystals or surfaces from a smaller repeating unit. For experts, this method is the standard way to construct a periodic system that is large enough to minimize finite-size artifacts. (UNVERIFIED)

Sub Class Of system setup modeling c

PME grid dimensions c

IRI http://purl.obolibrary.org/obo/MOLSIM_001194
Description

An electrostatic parameter used by the Particle Mesh Ewald (PME) method that specifies the number of grid points in each dimension for the reciprocal space calculation. Larger PME grid dimensions result in a more accurate calculation but are computationally more expensive. These are often set automatically based on the grid spacing, but can be specified directly with keywords like nfft1, nfft2, and nfft3. (UNVERIFIED)

Sub Class Of electrostatic parameter c

Mulliken charge analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000337
Description

Mulliken charge analysis is a computational method used in quantum chemistry to estimate the partial electric charge on each atom in a molecule. It works by partitioning the total electron density among the atoms based on the contribution of their atomic orbitals to the calculated molecular orbitals. While it is a simple and fast method for analyzing charge distribution, the resulting values are known to be sensitive to the choice of the basis set used in the calculation. (UNVERIFIED)

Sub Class Of charge analysis c

hot spot adaptive QM/MM c

IRI http://purl.obolibrary.org/obo/MOLSIM_000389
Description

Hot spot adaptive QM/MM is an advanced simulation method where the boundary between the high-accuracy QM region and the classical MM region can change dynamically during the simulation. The method identifies "hot spots" of chemical activity and automatically moves them into the QM region as needed. For experts, this adaptive approach provides a more efficient and automated way to study complex reactions where the center of chemical interest may shift over time. (UNVERIFIED)

Sub Class Of QM/MM simulation c

pseudo-F statistic c

IRI http://purl.obolibrary.org/obo/MOLSIM_001418
Description

A specific clustering quality metric used to determine the optimal number of clusters in a dataset. It is calculated as the ratio of the between-cluster variance to the within-cluster variance. A peak in the pseudo-F statistic for a given number of clusters suggests that it is the optimal partitioning. This is often abbreviated as pSF. (UNVERIFIED)

Sub Class Of clustering quality metric c

Prim's algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000089
Description

Another greedy algorithm for finding a Minimum Spanning Tree (MST) in a connected, undirected graph with weighted edges. It works by starting with an arbitrary vertex and iteratively adding the cheapest edge that connects a vertex in the growing tree to a vertex outside the tree, until all vertices are included. It provides an alternative approach to Kruskal's for constructing an MST (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

tautomeric state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000107
Description

One of two or more structural isomers of a molecule that readily interconvert through a process called tautomerization, most commonly involving the migration of a proton accompanied by a switch of a single and adjacent double bond. For example, keto-enol tautomerism is common in organic chemistry. Identifying the relevant tautomeric state(s) for a ligand or residue under simulation conditions is important for accurate modeling, particularly for heterocyclic compounds often found in drugs and cofactors. (UNVERIFIED)

Sub Class Of ligand state c

simulation environment c

IRI http://purl.obolibrary.org/obo/MOLSIM_002067
Description

A simulation environment represents the overall physical medium or surrounding context in which the primary molecular system is embedded during a computational study. It defines the macroscopic nature of the system's surroundings, such as whether the molecule is in a vacuum, dissolved in a liquid, or embedded in a lipid bilayer. For experts, distinguishing the physical environment from the mathematical solvation model used to compute it is crucial for accurately documenting the simulated biological or chemical conditions. (UNVERIFIED)

Sub Class Of model c
Super Class Of

non-aqueous environment c

IRI http://purl.obolibrary.org/obo/MOLSIM_002071
Description

A non-aqueous environment is a solvated environment composed of liquid solvents other than water, such as organic solvents like methanol, chloroform, or octanol. These environments possess different dielectric constants and hydrogen-bonding capabilities compared to water. For experts, simulating molecules in non-aqueous environments is often used to study the solubility of lipophilic drugs, the folding of peptides in hydrophobic conditions, or processes occurring within organic chemistry contexts. (UNVERIFIED)

Sub Class Of solvated environment c

replica-exchange free energy perturbation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000655
Description

Replica-exchange free energy perturbation is an enhanced sampling method that combines replica-exchange with an alchemical free energy calculation. It runs multiple simulations in parallel, each at a different intermediate state (lambda value) of the alchemical transformation, and periodically attempts to swap the lambda values between replicas. For experts, this method can significantly improve the sampling and convergence of free energy calculations, especially for transformations involving large structural changes. (UNVERIFIED)

Sub Class Of enhanced sampling c

anti-parallel beta sheet c

IRI http://purl.obolibrary.org/obo/MOLSIM_001784
Description

An anti-parallel beta sheet is a type of beta sheet where the adjacent protein chains run in opposite directions, like traffic on a two-way street. In this arrangement, the neighboring beta-strands are aligned in opposite N-terminus to C-terminus directions, resulting in a pattern of straight, perpendicular hydrogen bonds between the strands. This arrangement is generally more stable than the parallel form and is a very common structural motif found in many proteins. (UNVERIFIED)

Sub Class Of beta sheet c

multi-reference c

IRI http://purl.obolibrary.org/obo/MOLSIM_000832
Description

A class of advanced quantum mechanics methods required for accurately describing molecules or chemical processes where the electronic structure cannot be well represented by a single dominant electron configuration (as assumed in basic Hartree-Fock theory). These situations often involve stretched bonds, excited states, diradicals, or transition metals, necessitating the use of multiple electronic configurations to capture the essential physics. These methods are typically more computationally demanding than single-reference approaches (UNVERIFIED).

Sub Class Of quantum mechanics c
Super Class Of

density peaks clustering algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001709
Description

Density peaks clustering is an algorithm that identifies the centers of conformational clusters by finding points that have both a high local density and a large distance from points of even higher density. The method is based on the simple idea that cluster centers are characterized by being local density maxima that are relatively far from other high-density points. This approach is advantageous for analyzing simulation trajectories as it can automatically determine the number of clusters and is robust in identifying non-spherical clusters and their most representative structures. (UNVERIFIED)

Sub Class Of clustering algorithm c

coordinate scaling modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000664
Description

A coordinate scaling method is a structure modification method that multiplies all the atomic coordinates in a system by a specific scaling factor. This is used to uniformly expand or contract the entire system. For experts, this can be a step in adjusting the density of a system or in some barostat algorithms that control pressure by scaling the box and the coordinates within it. (UNVERIFIED)

Sub Class Of modeling method c

spatial distribution function (SDF) c

IRI http://purl.obolibrary.org/obo/MOLSIM_002035
Description

A Spatial Distribution Function (SDF) is a three-dimensional map that describes the density of specific atoms or molecules around a central reference molecule relative to the average bulk density. Unlike a radial distribution function which averages over all angles, the SDF preserves angular information to reveal specific 3D features like hydration sites, hydrogen bonding networks, or ligand binding pockets. For experts, it is typically computed by binning atomic coordinates from a trajectory into a voxel grid, normalizing by the bulk number density, and is often visualized as isosurfaces at specific probability levels (e.g., 2x or 5x bulk density). (UNVERIFIED)

Sub Class Of correlation function c

angstrom per nanosecond c

IRI http://purl.obolibrary.org/obo/MOLSIM_010003
Description

A unit of velocity, representing one angstrom (10^-10 meters) of distance traveled per nanosecond (10^-9 seconds) of time. It is commonly used in molecular dynamics simulations and studies of atomic-scale processes.

Sub Class Of speed/velocity unit c

cml format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000915
Description

CML (Chemical Markup Language) is an application of XML specifically designed for representing chemical information in a structured way. It defines a vocabulary of XML tags and conventions for encoding molecular structures, reactions, spectra, computational chemistry results, and related data. CML aims to facilitate the storage, exchange, and management of chemical information across different software and platforms. (UNVERIFIED)

Sub Class Of xml format c

SCF parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001252
Description

A QM/MM parameter that controls the Self-Consistent Field (SCF) procedure used in quantum mechanical calculations. These parameters define the convergence criteria and algorithms used to solve for the electronic wavefunction. The SCF parameter settings are crucial for obtaining a converged and accurate QM energy. These are often set in a specific scf section of the input file. (UNVERIFIED)

Sub Class Of QM/MM parameter c
Super Class Of

Tanimoto combo score c

IRI http://purl.obolibrary.org/obo/MOLSIM_010019
Description

The Tanimoto combo score is a composite similarity metric that sums the shape Tanimoto score and the color Tanimoto score to provide a holistic measure of molecular similarity. By integrating both geometric volume overlap and chemical feature matching into a single value, typically ranging from 0 to 2, it offers a more robust ranking of potential drug candidates. This combined score allows researchers to prioritize compounds that not only fit the binding pocket but also possess the correct chemical properties for interaction. (UNVERIFIED)

Sub Class Of Tanimoto similarity algorithm c

free energy analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001564
Description

Free energy analysis tool is a specialized software program that calculates free energy differences from the data generated by enhanced sampling simulations. It implements the complex statistical mechanics equations, such as the Weighted Histogram Analysis Method (WHAM) or the Multistate Bennett Acceptance Ratio (MBAR), needed to combine data from multiple simulation windows. These tools are the essential final step for turning the raw output of umbrella sampling or replica exchange simulations into a meaningful potential of mean force or binding free energy. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of

solvent charge density distribution format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001111
Description

This file format stores a 3D map representing the average distribution of electric charge from the solvent molecules surrounding a central solute. Instead of just showing where solvent atoms are, it shows the net positive or negative charge density at each point in space, averaged over a simulation. This provides a detailed picture of the electrostatic environment created by the solvent, which is crucial for understanding how the solvent screens and interacts with the solute's own charge distribution. (UNVERIFIED)

Sub Class Of solvent analysis format c

h5md format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001061
Description

H5MD (HDF5 for Molecular Dynamics) is an open, community-standard file format based on HDF5, designed for storing molecular simulation data. It is software-agnostic and supports the storage of atomic coordinates, velocities, forces, and thermodynamic data, facilitating data exchange between different simulation and analysis packages. (UNVERIFIED)

Sub Class Of molecular trajectory format c

GROMOS 43a1p c

IRI http://purl.obolibrary.org/obo/MOLSIM_001976
Description

GROMOS 43a1p is an extension of the standard GROMOS 43a1 force field designed to model phosphorylated proteins. It incorporates specific force field parameters for the phosphate group and its covalent attachment to amino acids like serine, threonine, and tyrosine. For experts, this patch enables the study of phosphorylation-dependent conformational changes using the stable and well-tested 43a1 united-atom framework. (UNVERIFIED)

Sub Class Of united-atom force field c

network flow algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000096
Description

A class of algorithms designed to solve problems related to flows in networks (graphs where edges have capacities), such as finding the maximum flow possible between a source and a sink node. Examples include the Ford-Fulkerson algorithm and its variations (e.g., Edmonds-Karp). These algorithms are used in logistics, scheduling, network design, and resource allocation problems (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

12-6-4 Lennard-Jones model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001474
Description

The 12-6-4 Lennard-Jones model is a specialized potential function used to improve the description of non-bonded interactions for certain metal ions. It adds an attractive 1/r^4 term to the standard 12-6 Lennard-Jones potential to better account for ion-induced dipole interactions, which are important for divalent cations. For force field developers, this model provides a more physically accurate way to parameterize the interactions of specific metal ions in a classical, non-polarizable framework. (UNVERIFIED)

Sub Class Of ion force field c

unpublished experimental result source c

IRI http://purl.obolibrary.org/obo/MOLSIM_000719
Description

Data or findings originating from a laboratory experiment that have not yet been published or formally disseminated to the public or scientific community. This category covers preliminary results, ongoing research data, or information shared through informal channels before formal publication or deposition. (UNVERIFIED)

Sub Class Of experimental data source c
Super Class Of electronic lab journal source c

polarization analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000677
Description

An electronic structure analysis technique that examines how the electron distribution of a molecule is distorted (polarized) in response to an external electric field or the field generated by nearby molecules. This involves calculating the induced dipole moment and the polarizability tensor, which quantify the molecule's susceptibility to charge redistribution. Understanding polarization is crucial for accurately describing intermolecular interactions, solvation effects, and responses to electromagnetic fields. (UNVERIFIED)

Sub Class Of electronic structure analysis c

base breathing c

IRI http://purl.obolibrary.org/obo/MOLSIM_001878
Description

Base breathing refers to a specific and transient motion in a DNA or RNA double helix where a base pair temporarily breaks its hydrogen bonds and swings out from the helical core into the surrounding solvent. These spontaneous opening events are a natural part of the helix's dynamics and are thought to be important for allowing proteins to access the genetic information encoded in the bases. Analyzing the frequency and duration of these motions provides insight into the local stability and accessibility of the DNA or RNA structure. (UNVERIFIED)

Sub Class Of conformational transition c

application-specific integrated circuit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001942
Description

An application-specific integrated circuit (ASIC) is a computer chip that has been custom-designed to perform a single, specific task with the highest possible speed and efficiency. Unlike a general-purpose CPU, an ASIC is hard-wired to execute a particular algorithm, making it much faster for that one job. The most famous example in molecular simulation is the Anton supercomputer, which uses ASICs built specifically to accelerate the force calculations in molecular dynamics. (UNVERIFIED)

Sub Class Of processing unit c

GROMACS input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000871
Description

In GROMACS, the primary molecular dynamics input file usually has an .mdp extension and contains keyword-value pairs defining the simulation parameters. Processed by the grompp tool, it controls aspects like the integration algorithm, timestep, simulation length, temperature and pressure coupling methods, and cutoff schemes. This file dictates how the MD simulation engine (mdrun) will execute the run. (UNVERIFIED)

Sub Class Of simulation parameter format c

trajectory output internal c

IRI http://purl.obolibrary.org/obo/MOLSIM_002030
Description

A simulation control parameter that dictates how frequently the system's atomic coordinates are written to the trajectory file during a run. It is defined as an integer representing the number of integration time steps between save events. For experts, variables like nstxout (GROMACS) or ntwx (AMBER) must be chosen to balance the need for high temporal resolution in analysis against data storage limits and I/O performance overhead. (UNVERIFIED)

Sub Class Of simulation parameter c

amber OL24 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000936
Description

A refined set of force field parameters specifically developed to improve the accuracy of DNA simulations using the AMBER force field. It provides an updated description of the sugar-pucker torsional potential, which is critical for correctly capturing the conformational equilibrium between A-form and B-form DNA. These parameters are intended as an update to be used in conjunction with a parent protein-DNA force field like ff14SB. (UNVERIFIED)

Sub Class Of DNA force field c

MOPAC cartesian format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000874
Description

This refers to an input file format for the MOPAC semi-empirical quantum chemistry program where the molecular structure is defined using Cartesian (X, Y, Z) coordinates for each atom. This format is used following the main keyword line that specifies the semi-empirical method (e.g., PM7), calculation type (e.g., OPT), and other options. It is an alternative to specifying geometry with internal coordinates. (UNVERIFIED)

Sub Class Of molecular structure format c

level shifting algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000333
Description

Level shifting is a specific technique used by SCF convergence algorithms to help them find a solution, especially in difficult cases. It works by artificially raising the energy of the unoccupied molecular orbitals during the iterative process, which can prevent the orbitals from mixing in an unstable way. For computational chemists, applying a level shift is a common and effective trick to overcome SCF convergence problems. (UNVERIFIED)

Sub Class Of SCF convergence algorithm c

SPC/E c

IRI http://purl.obolibrary.org/obo/MOLSIM_000771
Description

The Simple Point Charge / Extended water model, a modification of the SPC model. It retains the SPC geometry but uses slightly different charges and Lennard-Jones parameters, and crucially includes an average polarization correction term added to the potential energy. This correction improves agreement with experimental properties like density and diffusion coefficient compared to the original SPC model, while remaining computationally efficient. (UNVERIFIED)

Sub Class Of water model force field c

GROMOS c

IRI http://purl.obolibrary.org/obo/MOLSIM_000781
Description

A software package for classical molecular dynamics simulation, primarily developed at ETH Zürich, and associated with the GROMOS family of force fields (e.g., GROMOS 54A7). The package includes programs for simulation setup, execution (MD, stochastic dynamics, energy minimization), and trajectory analysis. While historically influential and still used, its user base may be smaller compared to GROMACS or AMBER today, but the GROMOS force fields remain widely used (often ported to other packages). (UNVERIFIED)

Sub Class Of software suite c

crystallographic build tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001955
Description

A crystallographic build tool is a software utility used to reconstruct a full crystal lattice or supercell from the asymmetric unit provided in a structure file. It applies the specific symmetry operations defined by the space group to generate the complete crystallographic packing environment. For experts, this is a necessary step when preparing crystal simulations to ensure the simulation box dimensions and contents match the physical lattice. (UNVERIFIED)

Sub Class Of system setup tool c
Super Class Of

root mean square deviation (RMSD) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001334
Description

A type of structural property that measures the average distance between the atoms of two superimposed molecular structures. It is the most common metric for quantifying the difference between two conformations, often used to track a simulation's stability relative to a starting structure. Analysis outputs frequently report the RMSD value over time. This value is commonly referred to as rmsd in analysis scripts. (UNVERIFIED)

Sub Class Of structural property c

prepgen c

IRI http://purl.obolibrary.org/obo/MOLSIM_001616
Description

The prepgen program is a utility in the AmberTools suite that helps to create residue library files, known as "prep" files, for new molecules. It takes a molecular structure file as input and generates a file that defines the molecule's atoms, charges, and internal connectivity in a format that the LEaP system-building program can understand. This tool is a key part of the workflow for adding a new, non-standard residue or molecule to the AMBER environment. (UNVERIFIED)

Sub Class Of residue template tool c

CAVER c

IRI http://purl.obolibrary.org/obo/MOLSIM_000246
Description

A widely used software tool for identifying and analyzing tunnels and channels in protein structures. CAVER uses computational geometry algorithms to explore the void space within a protein (or dynamic snapshots from a simulation) and identifies pathways connecting points of interest (e.g., a buried active site to the exterior). It provides information on the location, dimensions (bottleneck radius), curvature, and physicochemical properties of identified tunnels, which is crucial for understanding enzyme function and ligand transport. (UNVERIFIED)

Sub Class Of tunnel predictor tool c

Molpro c

IRI http://purl.obolibrary.org/obo/MOLSIM_000182
Description

A high-accuracy quantum chemistry software package primarily focused on sophisticated ab initio wavefunction-based methods, particularly multi-reference methods (CASSCF, CASPT2, MRCI) and high-level coupled cluster calculations (CCSD(T), etc.), alongside standard HF and DFT. Molpro is renowned for its capabilities in calculating highly accurate energies, properties, and potential energy surfaces, often used for benchmarking or studying systems where electron correlation is challenging, including complex transition metal systems or photochemical processes. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

parse radii c

IRI http://purl.obolibrary.org/obo/MOLSIM_000495
Description

An empirically derived set of atomic radii developed by Sitkoff, Sharp, and Honig in the 1990s, specifically optimized for use in continuum electrostatic calculations, particularly Poisson-Boltzmann (PB) calculations aimed at reproducing experimental solvation energies (PARSE stands for "Parameters for Solvation Energy"). These radii define the boundary between the low-dielectric solute molecule and the high-dielectric solvent continuum in PB theory. They differ significantly from standard Van der Waals radii (like Bondi's) as they are optimized to implicitly account for various energetic contributions within that specific theoretical framework (PB/SA). (UNVERIFIED)

Sub Class Of radii set c

helical parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001879
Description

A helical parameter is one of a set of measurements that describe the detailed 3D shape of a DNA or RNA double helix. These parameters quantify the relative position and orientation of adjacent base pairs, including values for twist, roll, slide, and rise, which define the local helical geometry. Calculating these parameters from a simulation trajectory is the standard method for characterizing the sequence-dependent structure of nucleic acids and for distinguishing between different helical forms like A-DNA and B-DNA. (UNVERIFIED)

Sub Class Of nucleic acid parameter c

QM-QM derivative calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000386
Description

A QM-QM derivative calculation method is the numerical procedure used to compute the derivatives of the energy in a multi-layer quantum mechanics simulation, such as an ONIOM calculation. This is necessary for performing geometry optimization or molecular dynamics, where the forces on the atoms are required. For experts, the accurate and efficient calculation of these derivatives is a key technical challenge in implementing multi-layer QM methods. (UNVERIFIED)

Sub Class Of numerical analysis c

Einstein molecule model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001477
Description

The Einstein molecule model is a simplified representation where a molecule is treated as a collection of independent harmonic oscillators, similar to an Einstein solid. This model is not used for realistic dynamics but can be employed in theoretical calculations to estimate properties like vibrational entropy. For experts, this model assumes that each atom vibrates around its equilibrium position with a single characteristic frequency, uncoupled from the motions of other atoms. (UNVERIFIED)

Sub Class Of molecule model c

Hawkins-Cramer-Truhlar radii set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001713
Description

This is a specific set of atomic sizes used in a particular type of implicit solvent model to calculate how a molecule interacts with water. The Hawkins-Cramer-Truhlar radii set is a collection of effective atomic radii optimized for use with the SMx series of continuum solvation models, which are based on the Generalized Born approximation. These radii are parameterized to reproduce experimental solvation free energies with high accuracy when used within their specific theoretical framework. (UNVERIFIED)

Sub Class Of radii set c

CPMD c

IRI http://purl.obolibrary.org/obo/MOLSIM_000776
Description

The Car-Parrinello Molecular Dynamics (CPMD) software package, an open-source program primarily designed for performing ab initio molecular dynamics simulations based on Density Functional Theory (DFT) using the Car-Parrinello method. This method evolves the electronic wave functions concurrently with the atomic positions, contrasting with Born-Oppenheimer MD. CPMD typically uses plane wave basis sets and is well-suited for periodic systems, materials science, and simulations where electronic effects are crucial during dynamics. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

radian c

IRI http://purl.obolibrary.org/obo/UO_0000123
Description

A plane angle unit which is equal to the angle subtended at the center of a circle by an arc equal in length to the radius of the circle, approximately 57 degrees 17 minutes and 44.6 seconds.

Sub Class Of radian based unit c

specifically dependent continuant c

IRI http://purl.obolibrary.org/obo/BFO_0000020
Sub Class Of continuant c
In Domain Of concretizes op
In Range Of
Super Class Of

trapezoid integration algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001699
Description

Trapezoid integration, or the trapezoidal rule, is a straightforward numerical integration algorithm that approximates the area under a curve by summing the areas of trapezoids formed between adjacent data points. While simple, it is a robust method for integrating functions defined by a series of discrete points. For simulation experts, this is the most common algorithm used to numerically integrate the results from a series of lambda windows in a thermodynamic integration (TI) free energy calculation. (UNVERIFIED)

Sub Class Of numerical integration algorithm c

multi-state bennett acceptance ratio c

IRI http://purl.obolibrary.org/obo/MOLSIM_000854
Description

The Multistate Bennett Acceptance Ratio (MBAR) is a statistically optimal method for analyzing data from multiple simulations performed at different thermodynamic states (e.g., different temperatures, pressures, or with different biasing potentials like in umbrella sampling). It efficiently combines all the collected data to calculate free energy differences between any of the simulated states and to compute equilibrium expectation values. MBAR is widely used for analyzing replica exchange and umbrella sampling simulations. (UNVERIFIED)

Sub Class Of enhanced sampling c

in-silico mutagenesis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000243
Description

A computational tool that allows researchers to simulate the effects of mutations (changing one amino acid residue to another) on the structure, stability, dynamics, or binding affinity of a protein. These tools typically take a protein structure, allow the user to specify mutations, and then use algorithms (often based on molecular mechanics energy functions, rotamer libraries, or machine learning) to model the structural changes and estimate the impact on stability (ddG) or other properties. FoldX is a prominent example. (UNVERIFIED)

Sub Class Of modeling and setup tool c
Super Class Of FoldX c

eigenmode analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000947
Description

Eigenmode analysis refers to methods that decompose the complex motions of a molecular system into a set of collective, independent modes of motion (eigenvectors or eigenmodes), each associated with a characteristic amplitude or frequency (eigenvalue). Common techniques include Principal Component Analysis (PCA) applied to simulation trajectories to find dominant motions, or Normal Mode Analysis (NMA) applied to a single structure to find vibrational modes. This analysis reveals the principal ways a molecule moves and deforms. (UNVERIFIED)

Sub Class Of motion analysis c

process c

IRI http://purl.obolibrary.org/obo/BFO_0000015
Sub Class Of occurrent c
In Domain Of realizes op
In Range Of realized in op
Super Class Of planned process c

ndfes-PrintFES.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001644
Description

This script is a utility that takes the final, processed data from a free energy calculation and writes it out as a human-readable file representing the free energy surface (FES). The output is typically a data grid where each point has a coordinate and a corresponding free energy value. This file is the final result of the calculation and is used directly for plotting and visualizing the energetic landscape of the molecular process. (UNVERIFIED)

Sub Class Of utility script c

residual dipolar coupling c

IRI http://purl.obolibrary.org/obo/MOLSIM_001400
Description

A type of spectroscopic property that provides long-range structural information in NMR experiments by measuring the orientation of bond vectors in a weakly aligned molecule. Residual Dipolar Couplings are extremely valuable for determining the relative orientation of distant parts of a molecule. They provide powerful restraints for refining molecular structures. These are often abbreviated as RDC. (UNVERIFIED)

Sub Class Of spectroscopic property c

correlation time c

IRI http://purl.obolibrary.org/obo/MOLSIM_001397
Description

A type of kinetic property that represents the time scale over which a system's properties, such as the orientation of a bond, remain correlated. It is a measure of the "memory" of the system's dynamics. The correlation time is a key parameter in the interpretation of NMR relaxation data. This is often denoted tcorr or tau_c. (UNVERIFIED)

Sub Class Of kinetic property c

flexibility analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001854
Description

Flexibility analysis is a category of structural analysis methods aimed at identifying which parts of a molecule are rigid and which are mobile. This is often done by calculating the root-mean-square fluctuation (RMSF) of each atom or residue around its average position. For researchers, this analysis is crucial for understanding protein dynamics, identifying functionally important flexible loops, and interpreting experimental B-factors. (UNVERIFIED)

Sub Class Of structural analysis c

free energy and molecular dynamics analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000300
Description

Analysis techniques and calculated properties that are particularly characteristic of or frequently applied to data generated from molecular dynamics (MD) simulations, especially those aimed at calculating free energies or characterizing structural dynamics. These methods help interpret the complex time-series data produced by MD. (UNVERIFIED)

Sub Class Of statistical analysis c
Super Class Of

amber ff99SB ILDN c

IRI http://purl.obolibrary.org/obo/MOLSIM_000750
Description

A specific refinement of the AMBER ff99SB protein force field, where 'ILDN' refers to targeted improvements for the side-chain torsion potentials of four specific amino acids: Isoleucine (I), Leucine (L), Aspartate (D), and Asparagine (N). This modification aimed to improve the description of intrinsically disordered proteins and protein dynamics. It is often used in conjunction with ff99SB. (UNVERIFIED)

Sub Class Of protein force field c

Kovalenko-Hirata closure c

IRI http://purl.obolibrary.org/obo/MOLSIM_001525
Description

The Kovalenko-Hirata closure is a specific and widely used mathematical approximation for solving the equations of the 3D-RISM theory of solvation. It is a hybrid closure that combines two different approximations, switching between them depending on whether the solvent density is higher or lower than the bulk, which makes it numerically stable and robust. This closure has proven to be very effective for a wide range of biomolecular systems, providing accurate solvation structures and thermodynamics. (UNVERIFIED)

Sub Class Of closure relation c

NEB spring constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001241
Description

A nudged elastic band parameter that specifies the spring force constant connecting adjacent images along the reaction path. This parameter ensures that the images are evenly spaced and do not drift off the path. The NEB spring constant is a key parameter for the stability and convergence of the NEB calculation. This is often set with the keyword nebk. (UNVERIFIED)

Sub Class Of nudged elastic band parameter c

butterworth filter algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001698
Description

A Butterworth filter is a specific type of signal processing algorithm designed to have a very flat frequency response in the region of the signal it is intended to pass through. This characteristic means it can filter out unwanted frequencies without distorting the original signal. In trajectory analysis, a low-pass Butterworth filter can be used to smooth atomic coordinate data, effectively removing high-frequency thermal noise to better visualize slower, collective motions. (UNVERIFIED)

Sub Class Of signal processing algorithm c

O-linked glycosylation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001777
Description

O-linked glycosylation is a type of modification where sugar molecules are attached one-by-one to a protein. It is a post-translational modification where a sugar is covalently attached to the side-chain oxygen atom of a serine or threonine residue. Unlike N-linked glycosylation, O-linked glycans are built up sequentially, and simulating them is important for understanding the function of many secreted and cell-surface proteins, such as mucins. (UNVERIFIED)

Sub Class Of post-translational modification c

closest solvent analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000671
Description

Closest solvent analysis is a method used to identify and track the solvent molecules that are in the most immediate vicinity of a solute molecule. The analysis typically finds, for each frame of a trajectory, the set of solvent molecules that are within a certain distance of the solute. This is often used to study the first solvation shell and to calculate properties like the residence time of water molecules in a protein's active site. (UNVERIFIED)

Sub Class Of solvent analysis c

divide and conquer algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001729
Description

The divide and conquer algorithm is a computational strategy used in quantum mechanics to make calculations on very large molecules possible. It works by breaking the large molecule down into a set of smaller, overlapping fragments, performing quantum calculations on the individual fragments, and then combining the results to obtain the properties of the entire system. For experts, this approach is the basis of linear-scaling QM methods that can handle systems containing thousands of atoms. (UNVERIFIED)

Sub Class Of quantum mechanics algorithm c

IPMach.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001620
Description

IPMach.py is a utility script within the AmberTools suite designed to facilitate the parameterization of ion models for molecular simulations. It specifically assists in deriving the parameters for 12-6 Lennard-Jones and 12-6-4 potential models for monoatomic ions. This tool streamlines the process of creating accurate non-bonded parameters that are consistent with specific water models. (UNVERIFIED)

Sub Class Of utility script c

simulation control algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000382
Description

A simulation control algorithm is a procedure that governs the core mechanics of how a simulation progresses and maintains its physical conditions. This includes the algorithms that advance the positions of atoms in time, as well as those that regulate temperature and pressure. For experts, these algorithms are the fundamental components specified in an input file that define the integrator, thermostat, and barostat for a molecular dynamics run. (UNVERIFIED)

Sub Class Of algorithm c
Super Class Of

debye c

IRI http://purl.obolibrary.org/obo/MOLSIM_010010
Description

A centimeter-gram-second (CGS) unit of electric dipole moment, defined as 10^-18 statcoulomb-centimeters. One Debye is approximately equal to 3.33564 × 10^-30 coulomb-meters.

Sub Class Of electric dipole moment unit c

SYBYL atom type c

IRI http://purl.obolibrary.org/obo/MOLSIM_001511
Description

A SYBYL atom type is a specific label used by the SYBYL software to classify an atom based on its chemical environment, like identifying a carbon in a ring versus one in a chain. These atom types, originating from the Tripos force field, encode the element, hybridization state, and local connectivity of an atom into a descriptive text string (e.g., C.ar for an aromatic carbon). Correctly assigning these atom types is the first step in many modeling workflows, such as docking or generating charges for a small molecule. (UNVERIFIED)

Sub Class Of force field component c

correlation matrix c

IRI http://purl.obolibrary.org/obo/MOLSIM_001853
Description

A correlation matrix is a table that shows the correlation values between many different variables at once, revealing which ones tend to move together. In simulation analysis, a correlation matrix typically shows the correlation in the movements of all pairs of atoms or residues in a protein. This matrix is often visualized as a 2D heat map, providing a powerful tool for identifying regions of the molecule that exhibit concerted motion. (UNVERIFIED)

Sub Class Of statistical property c

tleap input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000444
Description

A script file format for the tleap program in AmberTools, used to build a molecular system for simulation. It contains a sequence of commands to load molecular structures, apply force fields, add solvent, and save the final topology and coordinate files. This format is a fundamental part of the system preparation stage in an Amber workflow. (UNVERIFIED)

Sub Class Of script format c

target temperature c

IRI http://purl.obolibrary.org/obo/MOLSIM_001175
Description

A temperature control parameter that specifies the desired temperature for the simulation. The thermostat algorithm will adjust the kinetic energy of the atoms to keep the average temperature fluctuating around this target temperature. This is a fundamental parameter for any simulation and is often set with the keyword temp0. (UNVERIFIED)

Sub Class Of temperature control parameter c

total potential energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001296
Description

A specific measure of potential energy representing the sum of all bonded and non-bonded energy contributions for a given snapshot of the system. This value is a fundamental output in simulation log files, providing a comprehensive measure of the system's potential energy at a single point in time. Its fluctuation and convergence are critical for assessing simulation equilibrium and are often used in energy minimization termination criteria. This term is frequently labeled in outputs as Etot, TOTEN, or Total Potential Energy. (UNVERIFIED)

Sub Class Of potential energy c

literature database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000713
Description

A database that indexes and provides access to bibliographic information from scientific journals, conference proceedings, and other scholarly publications. These are essential tools for researchers to find relevant scientific articles and stay updated on research findings. PubMed and Scopus are widely used examples. (UNVERIFIED)

Sub Class Of database source c

GOLD c

IRI http://purl.obolibrary.org/obo/MOLSIM_002050
Description

GOLD (Genetic Optimisation for Ligand Docking) is a highly regarded commercial docking program developed by the Cambridge Crystallographic Data Centre (CCDC). It uses a genetic algorithm to explore ligand conformational space and offers multiple scoring functions. It is frequently used in pharmaceutical pipelines to generate highly accurate protein-ligand complex structures for subsequent MD refinement. (UNVERIFIED)

Sub Class Of docking tool c

Becke integration grid c

IRI http://purl.obolibrary.org/obo/MOLSIM_001487
Description

The Becke integration grid is a specific and clever way of creating the grid of points used in quantum chemistry calculations to make them more efficient. It is a multi-center numerical integration grid that partitions space into atomic regions and uses different grid densities in each, placing more points closer to the atomic nuclei where the electron density changes rapidly. This approach, combined with radial and angular quadrature schemes, allows for highly accurate numerical integration in DFT calculations with a more manageable number of grid points compared to a simple uniform grid. (UNVERIFIED)

Sub Class Of integration grid c

SCF energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001309
Description

A specific type of QM energy representing the electronic energy of the quantum mechanical region as determined by the Self-Consistent Field (SCF) procedure. This value is the converged energy from a Hartree-Fock or Density Functional Theory calculation. The SCF energy is a primary output in QM/MM log files, and its convergence is a key indicator of a successful quantum calculation. This term is often labeled as E(SCF) or SCF Done. (UNVERIFIED)

Sub Class Of QM energy c

software-specific coordinate format (deprecated) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001089
Description

A coordinate file primarily stores the three-dimensional positions (X, Y, Z coordinates) of atoms in a molecular system. It may also contain atom names, residue information, and potentially periodic box dimensions, but typically lacks detailed bonding (topology) or force field parameter information. Common examples include PDB, GRO, and XYZ formats, used for initial structures or snapshots from simulations. (UNVERIFIED)

Sub Class Of molecular structure format c

force field atom type c

IRI http://purl.obolibrary.org/obo/MOLSIM_000324
Description

An atom type assigned by a specific molecular mechanics force field that dictates the atom's non-bonded and bonded interaction parameters. It encodes not only the element, but also the atom's hybridization state, local chemical environment, and connectivity (e.g., distinguishing between an sp3 aliphatic carbon and an sp2 aromatic carbon). (UNVERIFIED)

Sub Class Of atom type c

Maxwell-Boltzmann distribution c

IRI http://purl.obolibrary.org/obo/MOLSIM_001485
Description

The Maxwell-Boltzmann distribution is a statistical model that describes the distribution of speeds or kinetic energies for particles in a gas or liquid at thermal equilibrium. In molecular dynamics simulations, thermostat algorithms are designed to ensure that the velocities of the atoms in the system correctly follow this distribution for the target temperature. For experts, verifying that the system's kinetic energy distribution matches the Maxwell-Boltzmann curve is a key check that the simulation is correctly sampling the desired temperature. (UNVERIFIED)

Sub Class Of statistical model c

dielectrically consistent RISM model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001536
Description

A dielectrically consistent RISM model is an advanced version of the Reference Interaction Site Model (RISM) theory that includes corrections to ensure its results are compatible with the known dielectric properties of the solvent. This refinement improves the description of long-range electrostatic interactions, which is particularly important for obtaining accurate solvation free energies for charged molecules like ions or DNA. This approach aims to make the implicit solvent model more physically realistic by enforcing this fundamental consistency. (UNVERIFIED)

Sub Class Of RISM model c

membrane environment c

IRI http://purl.obolibrary.org/obo/MOLSIM_002072
Description

A membrane environment is a highly anisotropic, heterogeneous simulation context representing a cellular membrane, typically composed of a self-assembled lipid bilayer separating two aqueous compartments. It features a hydrophobic core and polar interfacial regions. For experts, modeling a membrane environment is essential for simulating the structure, dynamics, and transport mechanisms of transmembrane proteins, ion channels, and membrane-active peptides or drugs. (UNVERIFIED)

Sub Class Of simulation environment c

worm plot visualization analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000358
Description

A worm plot is a visualization method that displays a collection of superimposed molecular structures from a simulation or an NMR ensemble. Each structure is typically represented as a smooth tube or "worm" tracing the path of the protein backbone. This method provides a clear visual impression of the conformational variability and dynamic fluctuations within the molecular ensemble. (UNVERIFIED)

Sub Class Of visualization analysis c

hybrid solvent replica-exchange molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000411
Description

Hybrid solvent replica-exchange molecular dynamics is a specialized version of the REMD method where the different parallel simulations use different solvent models. For example, some replicas might use an implicit solvent model, which allows for very fast sampling, while others use a more accurate explicit solvent model. Swapping between these replicas allows the simulation to combine the sampling efficiency of implicit solvent with the accuracy of explicit solvent. (UNVERIFIED)

Sub Class Of replica-exchange molecular dynamics c

dihedral calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000925
Description

A local structure analysis technique that calculates the torsion angle defined by four sequentially bonded atoms (A-B-C-D), representing the rotation around the central bond (B-C). Dihedral angles are critical for determining the three-dimensional conformation of flexible molecules, including protein backbones, side chains, and polymer chains. Analyzing their values and distributions reveals accessible rotational states and conformational dynamics. (UNVERIFIED)

Sub Class Of local structure analysis c

neural network potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_002019
Description

A computational model that uses machine learning algorithms to predict the potential energy and forces of a molecular system. It approximates the complex quantum mechanical energy landscape by training a neural network on a large dataset of reference atomic configurations and energies. For experts, these potentials (like ANI or DeepMD) offer ab initio accuracy at a computational cost closer to classical force fields, provided the simulation remains within the chemical space represented in the training data. (UNVERIFIED)

Sub Class Of force field c

PMEMD c

IRI http://purl.obolibrary.org/obo/MOLSIM_001669
Description

PMEMD is the main high-performance simulation engine of the commercial AMBER software package, renowned for its exceptional speed on modern computer hardware. It is highly optimized for running large-scale molecular dynamics simulations, particularly on graphics processing units (GPUs). While sander in AmberTools can run many types of simulations, PMEMD is the specialized, production-level code used for generating long trajectories of large biomolecular systems with maximum efficiency. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

atom pulling velocity c

IRI http://purl.obolibrary.org/obo/MOLSIM_001221
Description

A steered molecular dynamics parameter that specifies the constant speed at which the steered coordinate is changed during a constant-velocity SMD simulation. The atom pulling velocity determines the rate at which the system is pulled along the reaction coordinate. This is a key parameter for controlling the degree of non-equilibrium work. This is often set with the keyword v. (UNVERIFIED)

Sub Class Of steered molecular dynamics parameter c

distance RMSD (dRMSD) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001336
Description

A type of structural property that measures the difference between two structures based on their internal pairwise atomic distances, rather than their Cartesian coordinates. This metric does not require structural alignment and can be more sensitive to changes in internal conformation. It is a useful alternative to standard RMSD for comparing flexible molecules. This value is often referred to as drms or dRMSD in analysis outputs. (UNVERIFIED)

Sub Class Of structural property c

amber glycam 06 EP c

IRI http://purl.obolibrary.org/obo/MOLSIM_000739
Description

A specific version of the GLYCAM06 carbohydrate force field, where 'EP' refers to modifications involving Extra Points. These extra points, typically placed near oxygen atoms to represent lone pair electron density, are added to improve the description of electrostatic interactions, particularly the directionality and geometry of hydrogen bonding in carbohydrates. This aims for higher accuracy at an increased computational cost. (UNVERIFIED)

Sub Class Of carbohydrates force field c

bond stretching potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001467
Description

The bond stretching potential is the component of a force field that describes the energy required to stretch or compress a covalent bond away from its ideal equilibrium length. It is most commonly modeled as a simple harmonic potential, like a spring, that penalizes deviations from the reference bond length. This term is fundamental for defining the covalent connectivity and local stiffness of a molecule. (UNVERIFIED)

Sub Class Of force field component c

Brick-CFCMC c

IRI http://purl.obolibrary.org/obo/MOLSIM_000285
Description

This likely refers to a tool or module implementing the Continuous Fractional Component Monte Carlo (CFCMC) method, possibly within a specific software framework ('Brick'). CFCMC is an advanced Monte Carlo simulation technique used for calculating chemical potentials and free energies, particularly useful for phase equilibria or solvation free energy calculations, by allowing molecules to be gradually inserted or deleted via a fractional intermediate state. It's a specialized free energy calculation method distinct from standard TI or FEP. (UNVERIFIED)

Sub Class Of thermodynamic integration similarity calculation tool c

adaptive string method c

IRI http://purl.obolibrary.org/obo/MOLSIM_001432
Description

The adaptive string method is an improvement on the standard string method for finding transition pathways. It adaptively adjusts the distribution of the images along the string, concentrating them in regions where the path has high curvature or where the free energy is changing rapidly. For experts, this adaptive placement of images leads to a more efficient and accurate determination of the minimum free energy path. (UNVERIFIED)

Sub Class Of string method c

cc-pV8Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000527
Description

The cc-pV8Z (correlation-consistent polarized Valence Octuple-Zeta) basis set is an exceptionally large research basis set developed for exploring convergence towards the complete basis set limit with very high precision. It provides eight functions per valence orbital plus extensive polarization. Its practical application is restricted to benchmark calculations on atoms or diatomics due to its immense computational demands. (UNVERIFIED)

Sub Class Of split-valence c

explicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000066
Description

A solvation model where individual solvent molecules (e.g., water molecules represented by a specific water model like TIP3P or SPC/E) are explicitly included in the simulation system alongside the solute molecule(s). This approach provides the most detailed, atomistic representation of solute-solvent interactions, capturing specific hydrogen bonding patterns, local solvent structure, and dynamic effects. However, it significantly increases the system size and computational expense due to the large number of solvent particles that must be simulated. (UNVERIFIED)

Sub Class Of solvation model c

cc-pV(D+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000539
Description

The cc-pV(D+d)Z basis set augments the standard cc-pVDZ basis by adding an extra, energetically optimized d-type polarization function. This addition is primarily targeted at improving the accuracy for second-row atoms (Na-Ar), where standard cc-pVDZ was found slightly deficient in d-functions. It provides a refined double-zeta level description for these specific elements. (UNVERIFIED)

Sub Class Of split-valence c

test particle insertion c

IRI http://purl.obolibrary.org/obo/MOLSIM_002013
Description

Test particle insertion (Widom insertion) is a computational technique used to calculate the chemical potential of a specific molecule within a fluid system. It works by periodically placing a "ghost" particle at random locations in the simulation box and calculating the interaction energy it would have with the existing atoms, without actually adding it to the system. For experts, this method relates the excess chemical potential to the ensemble average of the Boltzmann factor of the insertion energy, ⟨exp(−βΔU)⟩, though it suffers from convergence issues in dense or charged systems. (UNVERIFIED)

Sub Class Of thermodynamics analysis c

reference potential spatial warping c

IRI http://purl.obolibrary.org/obo/MOLSIM_000857
Description

Reference potential spatial warping refers to a class of enhanced sampling methods where the system's sampling is accelerated by either transforming ("warping") the coordinates or modifying the potential energy based on a comparison with a simpler reference potential energy function. The goal is to make transitions that are difficult in the original potential landscape occur more readily in the warped or biased system. The bias or transformation is constructed to specifically target known barriers or slow degrees of freedom. (UNVERIFIED)

Sub Class Of enhanced sampling c

volt per meter based unit c

IRI http://purl.obolibrary.org/obo/UO_1000268
Sub Class Of electric field strength unit c
Super Class Of volt per meter c

steered MD restraint energy constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001222
Description

A steered molecular dynamics parameter that specifies the stiffness of the harmonic potential used to pull the system along the reaction coordinate. A larger steered MD restraint energy constant results in a stiffer spring and less deviation from the target path. This is a key parameter for controlling the strength of the steering. This is often set with the keyword harm. (UNVERIFIED)

Sub Class Of steered molecular dynamics parameter c

lipid SCD order parameter calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000482
Description

A lipid SCD order parameter calculation is a specific analysis method used to quantify the orientational order of the carbon-hydrogen bonds in the acyl tails of lipid molecules in a membrane simulation. The SCD parameter measures the motional restriction of these bonds relative to the membrane normal. For experts, calculating these order parameters and comparing them to experimental values from NMR is a primary method for validating the accuracy of a membrane simulation. (UNVERIFIED)

Sub Class Of structural analysis c

PDBQT format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002058
Description

The PDBQT format is an extension of the standard PDB format specifically designed for use with the AutoDock and AutoDock Vina molecular docking suites. In addition to atomic coordinates, it stores calculated partial charges ('Q') and AutoDock-specific atom types ('T'), making it a structural format that intrinsically carries the predictive interaction parameters required for, and generated by, docking algorithms.(UNVERIFIED)

Sub Class Of

PropPDB c

IRI http://purl.obolibrary.org/obo/MOLSIM_001575
Description

The PropPDB tool is a system setup program used to build a larger simulation box by replicating a small, initial crystal unit cell in specified directions. This process is necessary when the original crystallographic unit cell is too small to satisfy the minimum size requirements imposed by the simulation's non-bonded interaction cutoff distance. For experts, this method creates a larger "supercell" that is large enough to avoid artifacts from periodic symmetry and to meet the stringent size requirements of modern simulation engines, particularly those running on GPUs. (UNVERIFIED)

Source https://ambermd.org/doc12/Amber25.pdf
Sub Class Of crystallographic build tool c

edgembar-amber2dats.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001637
Description

A utility script that converts output files from AMBER simulations into the specific data format required by the edgembar free energy analysis program. It processes AMBER's energy or log files to extract the necessary potential energy values for each frame of the simulation. This script is an essential data preparation step for using the edgembar tool to analyze free energy calculations that were performed with the AMBER software. (UNVERIFIED)

Sub Class Of utility script c

AMBER-FEW c

IRI http://purl.obolibrary.org/obo/MOLSIM_000283
Description

This likely refers to FEW (Free Energy Workflow), a tool or set of scripts designed to automate and manage free energy calculations (like FEP or TI) specifically using the AMBER simulation package. Such workflows typically handle tasks like setting up the simulation legs (lambda windows), running the simulations, collecting data, and performing the final free energy analysis, aiming to simplify and standardize complex free energy calculation protocols within the AMBER environment. (UNVERIFIED)

Sub Class Of thermodynamic integration similarity calculation tool c

knowledge-based database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000708
Description

A specialized type of database designed to store complex, structured, and unstructured information, often integrating data from multiple sources and using ontologies or controlled vocabularies to represent knowledge explicitly. Knowledge bases aim to provide a comprehensive understanding of specific biological entities or systems, facilitating inference and discovery. UniProtKB is a prime example in the protein domain. (UNVERIFIED)

Sub Class Of database source c

interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001803
Description

Interaction energy is the energy that arises from the forces between two or more distinct molecules, or between different parts of the same molecule. It is calculated as the difference between the energy of the entire complex and the sum of the energies of its individual, separated components. This value, which includes contributions from electrostatics and van der Waals forces, is a primary measure of how strongly the components attract or repel each other. (UNVERIFIED)

Sub Class Of energy c
Super Class Of

dihedral potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001469
Description

The dihedral potential is the component of a force field that describes the energy associated with rotation around a chemical bond. It is defined for a sequence of four bonded atoms and is typically modeled as a periodic function, such as a sum of cosines, that creates energy barriers to rotation. This term is the most important component for determining the overall three-dimensional conformation of a flexible molecule. (UNVERIFIED)

Sub Class Of force field component c

GROMOS configuration format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001037
Description

A text-based file format used by the GROMOS simulation software to store the complete configuration of a molecular system. It is organized into data blocks (e.g., POSITION, VELOCITY, BOX) and contains atomic coordinates, periodic box dimensions, and optionally velocities. This format typically uses the .cnf file extension and is the primary input for coordinates in GROMOS simulations. (UNVERIFIED)

Sub Class Of molecular structure format c

quality c

IRI http://purl.obolibrary.org/obo/BFO_0000019
Sub Class Of specifically dependent continuant c
In Range Of has quality op
Super Class Of information carrier c

PME continuous constant pH molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000419
Description

This term refers to an implementation of the continuous constant pH molecular dynamics method that is compatible with the Particle Mesh Ewald (PME) algorithm for calculating long-range electrostatic forces. This compatibility is non-trivial to achieve but is essential for running accurate constant pH simulations in a periodic system. For experts, this represents a state-of-the-art method for performing realistic constant pH simulations of large biomolecules. (UNVERIFIED)

Sub Class Of continuous constant pH molecular dynamics c

structural similarity c

IRI http://purl.obolibrary.org/obo/MOLSIM_000144
Description

Structural similarity as a selection criterion refers to choosing ligand pairs that share a common core structure or scaffold, differing only by relatively small chemical modifications. High structural similarity often leads to cancellation of errors in relative binding free energy calculations, improving accuracy. This is often assessed visually or using molecular fingerprint metrics. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

entropy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001326
Description

A type of thermodynamic property that measures the degree of disorder or the number of accessible microscopic states for a system. It is a fundamental quantity that contributes to the free energy, with higher entropy being thermodynamically favorable. In simulations, the entropy is often calculated from the fluctuations of molecules or by analyzing vibrational modes. This value is often reported as S or T*S. (UNVERIFIED)

Sub Class Of thermodynamic property c
Super Class Of

hybrid GGA functional c

IRI http://purl.obolibrary.org/obo/MOLSIM_001462
Description

A hybrid GGA functional is a type of exchange-correlation functional in Density Functional Theory that mixes a portion of the exact exchange energy from Hartree-Fock theory with the exchange and correlation energies from a GGA functional. This mixing of exact exchange often improves the accuracy for many chemical properties, particularly reaction barriers and electronic band gaps. For computational chemists, hybrid functionals like B3LYP are among the most popular and reliable methods for a broad range of applications. (UNVERIFIED)

Sub Class Of density functional theory c

cc-pV(6+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000543
Description

The cc-pV(6+d)Z basis set adds an extra optimized d-type polarization function to the extremely large cc-pV6Z basis, intended to refine accuracy for second-row atoms (Na-Ar) in benchmark calculations. It represents a highly specialized set for studies demanding the utmost precision for these elements near the complete basis set limit. (UNVERIFIED)

Sub Class Of split-valence c

total excess charge format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001116
Description

This file format stores data that quantifies how much extra electric charge from the solvent accumulates around different types of solvent atoms. It provides a measure of the net charge separation or polarization in the solvent induced by the presence of the solute. This is a specialized output from 3D-RISM calculations that helps to characterize the electrostatic response of the solvent to the solute. (UNVERIFIED)

Sub Class Of solvent analysis format c

bondi c

IRI http://purl.obolibrary.org/obo/MOLSIM_000273
Description

A widely recognized and frequently used set of Van der Waals radii for atoms across the periodic table, originally compiled by A. Bondi in the 1960s based on analysis of crystallographic data for molecular crystals, gas phase properties (like critical constants), and liquid state densities. These radii are intended to represent the effective size of non-bonded atoms, i.e., the distance at which strong repulsion occurs upon close contact. They serve as a common standard or starting point for defining atomic sizes in molecular modeling, visualization, and calculations like surface area determination. (UNVERIFIED)

Sub Class Of radii set c

energy minimization algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000408
Description

An energy minimization algorithm is a type of optimization algorithm specifically used to find a stable, low-energy structure of a molecule. It starts with an initial set of atomic coordinates and iteratively adjusts them to reduce the forces on the atoms, moving the structure "downhill" on the potential energy surface. For simulation experts, energy minimization is a crucial first step in preparing a system to remove steric clashes before starting a molecular dynamics run. (UNVERIFIED)

Sub Class Of optimization algorithm c
Super Class Of

signal processing algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001697
Description

A signal processing algorithm is a type of analysis algorithm that is used to analyze or modify time-series data, which can be thought of as a signal. These methods are often used to remove noise, identify periodic components, or smooth the data to reveal underlying trends. In simulation analysis, these algorithms can be applied to properties calculated over time, such as the distance between two atoms, to filter out rapid thermal fluctuations. (UNVERIFIED)

Sub Class Of analysis algorithm c
Super Class Of

p-value c

IRI http://purl.obolibrary.org/obo/MOLSIM_000354
Description

A type of statistical property that represents the probability of obtaining results at least as extreme as the observed results, assuming that the null hypothesis is true. A small p-value (typically < 0.05) is used to argue that the observed result is statistically significant. It is a fundamental concept in hypothesis testing. This is a standard output of statistical tests. (UNVERIFIED)

Sub Class Of statistical property c

obsolescence reason specification c

IRI http://purl.obolibrary.org/obo/IAO_0000225
Description

The reason for which a term has been deprecated. The allowed values come from an enumerated list of predefined terms. See the specification of these instances for more detailed definitions of each enumerated value.

Sub Class Of data about an ontology part c
Equivalentclass

1-4 electrostatic energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001298
Description

A specific component of the electrostatic energy that applies only to pairs of atoms separated by exactly three covalent bonds (1-4 pairs). In many force fields, this interaction is scaled down by a specific factor to avoid over-counting interactions that are implicitly part of the dihedral energy term. This term is essential for correctly modeling the flexibility of torsional angles and is often reported in log files as EEL(1-4) or 1-4 EEL. This value is commonly referred to in AMBER and CHARMM outputs as EEL 1-4 or 1-4 ELEC. (UNVERIFIED)

Sub Class Of electrostatic energy c

atomic charge c

IRI http://purl.obolibrary.org/obo/MOLSIM_001376
Description

A type of electronic property that represents the partial electric charge assigned to an individual atom within a molecule. It is a calculated value that helps to model the electrostatic interactions between molecules. The atomic charge is a fundamental parameter in all classical force fields. This value is often reported under headings like "Mulliken Charges" or "ESP Charges". (UNVERIFIED)

Sub Class Of electronic property c
Super Class Of electrostatic potential (ESP) derived charge c

topology stripping analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000667
Description

A topology stripping method is a procedure used to remove a subset of atoms, typically solvent and ions, from a molecular topology file. This is most often done during post-processing to create smaller topology files for the receptor and ligand alone, which are needed for MM/PBSA or MM/GBSA free energy calculations. For experts, this method is an essential step in the workflow for preparing files for endpoint free energy analysis. (UNVERIFIED)

Sub Class Of system setup modeling c

active site focusing analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000327
Description

Active site focusing is a strategy used in some endpoint free energy methods to improve the calculation by concentrating on the most important region of the system. This might involve performing the energy analysis only for residues within a certain distance of the binding site, or using a more detailed model for that region. For experts, this approach aims to reduce computational noise and focus the calculation on the energetic contributions that are most relevant to the binding event. (UNVERIFIED)

Sub Class Of molecular mechanics Poisson Boltzmann surface area analysis c

chemical entity-based force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000772
Description

A force field specifically developed and parameterized to accurately model a particular class of chemical molecules, such as proteins, lipids, or nucleic acids. Its parameters are tuned based on experimental data and/or quantum mechanical calculations relevant to that molecular type. This specialization aims to improve the accuracy of simulations for specific biomolecular systems. (UNVERIFIED)

Sub Class Of force field c
Super Class Of

nucleic acid force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001445
Description

A nucleic acid force field is a set of mathematical functions and parameters specifically designed to simulate the behavior of DNA and RNA molecules. These force fields contain parameters optimized to accurately reproduce the unique structural features of nucleic acids, such as the double helix, sugar puckering, and base stacking interactions. They are essential for any realistic simulation of genetic material or functional RNA molecules. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of amber bsc1 c

nonpolar solvation energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001320
Description

A component of the solvation free energy that represents the energetic contribution from non-electrostatic effects, such as cavity formation and van der Waals interactions. It is often estimated as a term proportional to the molecule's surface area. The nonpolar solvation energy is a key component of MM/PBSA and MM/GBSA calculations. This value is typically reported as NP_SOLV or E_surf. (UNVERIFIED)

Sub Class Of solvation free energy c

multilayer QM/MM c

IRI http://purl.obolibrary.org/obo/MOLSIM_000630
Description

A multilayer QM/MM method is an advanced multiscale simulation technique that uses more than two levels of theory to describe the system. For example, it might consist of a high-level QM region for the reaction center, an intermediate layer treated with a faster semi-empirical QM method, and a large outer layer treated with a classical MM force field. For experts, this approach provides a way to systematically balance accuracy and computational cost across different parts of a very large and complex system. (UNVERIFIED)

Sub Class Of QM/MM simulation c

constraint and restraint parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001201
Description

A type of simulation parameter that controls the application of geometric constraints or restraints to the system. Constraints are used to fix certain degrees of freedom, while restraints are used to guide the system towards a particular conformation. These constraint and restraint parameter settings are used to control the flexibility of the system or to apply experimental data. These are often set with keywords like ntc or restraint_wt. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

QM/MM parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001245
Description

A type of simulation parameter that controls a hybrid quantum mechanics/molecular mechanics (QM/MM) simulation. These parameters define the size of the QM region, the treatment of the QM/MM boundary, and the specific QM method used. The QM/MM parameter settings are essential for simulations of chemical reactions in complex environments. These are often set in a specific qmmm section of the input file. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

orientation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001352
Description

A type of structural property that describes the rotational position of a molecule or a group of atoms in three-dimensional space. It is often represented by a set of Euler angles, a rotation matrix, or a quaternion. Analyzing the orientation is essential for understanding the tumbling of molecules in solution or the alignment of components in a complex. This is a key output of advanced trajectory analysis. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of

replica-exchange self-guided Langevin dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000373
Description

This is an enhanced sampling method that combines the replica-exchange method with self-guided Langevin dynamics (SGLD). It runs multiple SGLD simulations in parallel, typically at different temperatures, and attempts to swap their coordinates. This combination aims to leverage the accelerated local exploration of SGLD with the global barrier-crossing capability of replica-exchange for very efficient conformational sampling. (UNVERIFIED)

Sub Class Of replica-exchange molecular dynamics c

Tremolo-X c

IRI http://purl.obolibrary.org/obo/MOLSIM_000790
Description

A molecular dynamics simulation package designed for high-performance computing environments developed by Fraunhofer SCAI, with the computations focus in nanotechnology, material science, biochemistry and biophysics. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

periodic box dimensions c

IRI http://purl.obolibrary.org/obo/MOLSIM_001213
Description

A system setup parameter that specifies the size and shape of the periodic box used to create a periodic system. The periodic box dimensions are essential for any simulation using periodic boundary conditions. They determine the overall density of the system. These are often specified in the coordinate file or with keywords like box. (UNVERIFIED)

Sub Class Of system setup parameter c

Orca c

IRI http://purl.obolibrary.org/obo/MOLSIM_000178
Description

A versatile and powerful quantum chemistry software package, freely available for academic use, offering a wide range of methods including DFT, HF, semi-empirical, MPn, coupled cluster, and multi-reference methods. Orca is known for its robustness, efficiency (especially for DFT), user-friendliness, and ability to handle large molecules, making it very popular for diverse applications in computational chemistry, including biomolecular-relevant calculations like QM/MM or spectroscopy. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

processing unit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001939
Description

A processing unit is the core component of a computer that acts as its "brain," performing the calculations and logical operations. This is the hardware that executes the instructions from the simulation software to calculate the forces between atoms and update their positions over time. The two main types used in modern simulations are the general-purpose Central Processing Unit (CPU) and the highly parallel Graphics Processing Unit (GPU). (UNVERIFIED)

Sub Class Of hardware c
Super Class Of

wavelet analysis feature extraction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000457
Description

Wavelet analysis feature extraction is a method that uses the results of a wavelet analysis to identify and extract key features from a dynamic signal. This could involve identifying the times at which specific high-frequency events occur or characterizing the dominant low-frequency motions. For experts, this is a data processing step that can be used to reduce the complexity of a trajectory and focus on the most important dynamic events. (UNVERIFIED)

Sub Class Of wavelet analysis c

principal axis alignment analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000945
Description

Principal axis alignment is a method for superimposing molecular structures by aligning their principal axes of inertia, which represent the main axes of mass distribution or shape. Instead of minimizing RMSD between atom positions, this technique focuses on matching the overall orientation based on the molecule's moments of inertia. It can be useful for analyzing rotational motion or comparing shapes where standard RMSD alignment might be less informative. (UNVERIFIED)

Sub Class Of motion analysis c

Hamming distance algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000081
Description

A similarity calculation method specifically used for comparing two strings or bit vectors (like binary molecular fingerprints) of equal length. It counts the number of positions at which the corresponding symbols or bits are different. A lower Hamming distance indicates higher similarity between the binary representations (UNVERIFIED).

Sub Class Of similarity calculation algorithm c

united-atom c

IRI http://purl.obolibrary.org/obo/MOLSIM_001917
Description

A united-atom model is a simulation resolution where non-polar hydrogen atoms are not explicitly represented but are computationally merged with the heavy atom to which they are attached. This reduces the total number of interaction sites in the system, leading to a significant speed-up in calculations compared to an all-atom model. For experts, the united-atom approach offers a compromise between the detail of all-atom models and the speed of coarse-grained models. (UNVERIFIED)

Sub Class Of simulation model resolution c

atomic properties analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000928
Description

A type of structural analysis focusing on quantifying properties associated with individual atoms within the molecular structure, often reflecting their local environment or dynamics. Examples include atomic fluctuations (Root Mean Square Fluctuation, RMSF, or B-factors) indicating mobility, solvent accessibility surface area (SASA) quantifying exposure to solvent, or coordination numbers describing the local packing density. Analyzing these properties provides atom-specific insights into dynamics, interactions, and structural roles. (UNVERIFIED)

Sub Class Of structural analysis c

long range interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000058
Description

An interaction between particles where the force or potential energy diminishes slowly with increasing distance, typically decaying as r^−n where n≤3 (e.g., electrostatic interactions decaying as 1/r). Because their influence extends significantly far, these interactions necessitate special computational techniques (like Particle Mesh Ewald (PME) or Ewald sums) in simulations using periodic boundary conditions to accurately account for contributions beyond a simple distance cutoff. They are crucial for the behavior of charged or polar molecules in condensed phases. (UNVERIFIED)

Sub Class Of interaction type c

parametric distribution fitting algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_010014
Description

Statistical algorithm which fit a known distribution to the data using maximum likelihood or Bayesian methods.

Sub Class Of statistical algorithm c

simulated tempering c

IRI http://purl.obolibrary.org/obo/MOLSIM_002007
Description

Simulated tempering is an enhanced sampling technique that helps a system explore different configurations by allowing its temperature to fluctuate dynamically up and down during a single simulation. Unlike replica exchange, which uses parallel copies, this method uses a single trajectory that jumps between discrete temperature levels based on a probabilistic acceptance rule. For experts, it requires the pre-calculation or iterative determination of weighting factors for each temperature to ensuring uniform sampling and efficient barrier crossing. (UNVERIFIED)

Sub Class Of expanded ensemble simulation c

prediction data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000715
Description

Data generated as the direct result of executing a specific piece of prediction software, such as a tool for predicting protein structure, ligand binding sites, or functional annotations. This refers to the output before it might be curated or deposited into a public repository. An example would be the coordinate file of a homology model generated by a local SWISS-MODEL run. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

minimization method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000842
Description

Minimization methods, or energy minimization algorithms, are computational techniques used to find the coordinates corresponding to a local minimum on a potential energy surface for a molecular system. Starting from an initial structure, these algorithms iteratively adjust atomic positions to reduce the system's potential energy until the forces on the atoms are effectively zero. Common algorithms include steepest descent and conjugate gradient methods. (UNVERIFIED)

Sub Class Of empirical method c

semi-empirical method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000803
Description

A category of quantum chemistry calculation methods that bridges the gap between highly accurate but slow ab initio methods and very fast but simple molecular mechanics. It simplifies the complex equations of quantum mechanics (often starting from the Hartree-Fock framework) by neglecting certain terms and using parameters derived from experimental data to approximate others. These methods aim to provide a reasonable balance between computational cost and accuracy for studying molecular properties like geometry and energy (UNVERIFIED).

Sub Class Of quantum mechanics c
Super Class Of

covalent interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000063
Description

Interactions resulting from the sharing of valence electrons between atoms, forming stable chemical bonds (e.g., C-C, C-N, C-O, S-S) that define the fundamental connectivity and constitution of a molecule. In classical biomolecular simulations using force fields, covalent bonds, along with bond angles and dihedral angles defining local geometry, are usually represented by potential energy terms (e.g., harmonic springs, periodic functions) that maintain the molecular structure, rather than allowing bonds to form or break dynamically (which requires QM or reactive force fields). These are the strongest interactions within molecules (>50 kcal/mol). (UNVERIFIED)

Sub Class Of interaction type c
Super Class Of

fetkutils-tischedule.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001640
Description

The fetkutils-tischedule.py script, likely part of a Free Energy Toolkit, is a utility used to generate an optimized schedule of lambda values for a thermodynamic integration (TI) calculation. It helps determine the optimal number and spacing of the intermediate states to ensure a smooth and efficient calculation of the free energy difference. For researchers performing TI, this script automates the process of designing an efficient simulation protocol. (UNVERIFIED)

Sub Class Of utility script c

CUDA c

IRI http://purl.obolibrary.org/obo/MOLSIM_001563
Description

CUDA is a parallel computing platform and application programming interface (API) created by NVIDIA for general-purpose computing on its graphics processing units (GPUs). It allows developers to unlock the massive parallel processing power of GPUs to dramatically speed up computationally intensive tasks. In biomolecular simulation, CUDA is widely used by major simulation engines to accelerate the force calculations, enabling longer and larger simulations than would be possible on traditional CPUs alone. (UNVERIFIED)

Sub Class Of application programming interface c

FMO geometry optimization analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000603
Description

A specific geometry optimization technique designed for large molecular systems that employs the Fragment Molecular Orbital (FMO) method. The FMO method divides the large system (like a protein or DNA segment) into smaller, manageable fragments, performs quantum mechanical calculations on fragments and fragment pairs, and combines the results to approximate the properties (energy, gradient) of the entire system. This fragmentation allows for efficient geometry optimization of very large biomolecules at a quantum mechanical level. (UNVERIFIED)

Sub Class Of geometry optimization analysis c

NWChem output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000888
Description

The NWChem output file (.out, .nwout) is the main text log generated by the NWChem computational chemistry package, documenting the execution of the tasks specified in the input file. It contains detailed information about the calculation setup, convergence progress for various steps (like SCF or geometry optimization), calculated energies using the requested methods (QM, MM, or combined), molecular properties, and timing information. Due to NWChem's flexibility, the output structure can vary depending on the complexity of the input directives. (UNVERIFIED)

Sub Class Of simulation log format c

cavity surface tension c

IRI http://purl.obolibrary.org/obo/MOLSIM_001282
Description

An MM-PBSA/GBSA parameter that specifies the surface tension value for the non-polar energy calculation. This parameter relates the solvent-accessible surface area to the non-polar solvation free energy. The cavity surface tension is a key parameter for the non-polar part of the MM/PBSA or MM/GBSA calculation. This is often set with the keyword cavity_surften. (UNVERIFIED)

Sub Class Of MM-PBSA/GBSA parameter c

saxs_md c

IRI http://purl.obolibrary.org/obo/MOLSIM_001663
Description

The saxs_md tool is a program used to calculate a theoretical small-angle X-ray scattering (SAXS) profile directly from a molecular dynamics simulation trajectory. It works by averaging the scattering patterns from many different conformations sampled during the simulation to produce an ensemble-averaged profile. This allows for a direct and powerful comparison between the structural ensemble generated by a simulation and experimental SAXS data. (UNVERIFIED)

Sub Class Of scattering analysis tool c

alchemical free energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000265
Description

Alchemical free energy methods are a class of rigorous computational techniques used to calculate free energy differences by simulating a non-physical, reversible transformation pathway between two states (e.g., bound and unbound ligand, or two different ligands). These methods rely on statistical mechanics principles and involve gradually changing the Hamiltonian (the energy function) of the system along the pathway. Techniques like Free Energy Perturbation (FEP) and Thermodynamic Integration (TI) fall under this category. (UNVERIFIED)

Sub Class Of binding free energy calculation analysis c
Super Class Of

psf format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000901
Description

A Protein Structure File (.psf) defines the atoms, connectivity (bonds, angles, dihedrals, impropers), and basic atomic properties (like type indices, charges, masses) for a molecular system. Importantly, it does not contain the actual force field parameters (like bond spring constants or Lennard-Jones values), which must be provided separately. PSF files are widely used by simulation programs like CHARMM, NAMD, and visualization tools like VMD. (UNVERIFIED)

Sub Class Of molecular topology format c

identifier c

IRI http://purl.obolibrary.org/obo/MOLSIM_000447
Description

An identifier is a unique name, code, or label assigned to a specific entity, data record, or concept to distinguish it unambiguously from others within a given context. In scientific databases and computational workflows, identifiers (like accession numbers or unique IDs) are crucial for referencing, retrieving, and linking specific pieces of information accurately. They serve as unique addresses for data points or objects. (UNVERIFIED)

Super Class Of

linear dependence evaluation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000303
Description

A mathematical technique used to determine if a set of variables or vectors (e.g., descriptive coordinates or components from data analysis) are linearly related, meaning one can be expressed as a combination of the others. In simulation analysis, this is often used to check for redundancy in sets of collective variables or principal components derived from trajectory data. Identifying such dependencies can help simplify models or analysis (UNVERIFIED).

Sub Class Of mathematical analysis c

free energy calculation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000212
Description

A type of simulation execution specifically designed to compute the free energy difference between two states (e.g., bound vs unbound, state A vs state B) or the free energy profile along a reaction coordinate. Common methods include Free Energy Perturbation (FEP), Thermodynamic Integration (TI), Umbrella Sampling (for PMFs), and sometimes methods based on endpoint analysis like MM/PBSA or MM/GBSA (though these are technically post-processing analyses estimating free energy). These calculations are computationally demanding but crucial for understanding binding affinities, reaction barriers, and relative stabilities. (UNVERIFIED)

Sub Class Of execution c

hydrogen bond c

IRI http://purl.obolibrary.org/obo/MOLSIM_000189
Description

A specific, directional non-covalent interaction formed between a hydrogen atom covalently bonded to a highly electronegative atom (the donor, D, typically N, O, or F) and another nearby electronegative atom (the acceptor, A, also typically N, O, or F) which possesses a lone pair of electrons. Represented as D-H···A, it has characteristics of both electrostatic attraction (between the partially positive H and partially negative A) and weak orbital overlap/covalency. Hydrogen bonds (typically 2-10 kcal/mol) are crucial for the structure of water, protein secondary structures (alpha-helices, beta-sheets), DNA base pairing, and enzyme catalysis. (UNVERIFIED)

Sub Class Of electrostatic interactions c
Super Class Of

temperature coupling groups c

IRI http://purl.obolibrary.org/obo/MOLSIM_002031
Description

A simulation setting that divides the molecular system into distinct subsets, such as "Protein" and "Solvent," each regulated by its own independent thermostat. This separation ensures that energy is distributed evenly across components with different heating rates or degrees of freedom, preventing the "hot solvent, cold solute" artifact. For experts, correct assignment (e.g., tc-grps in GROMACS) is critical in non-periodic or vacuum simulations to prevent the accumulation of translational kinetic energy, known as the "flying ice cube" effect. (UNVERIFIED)

Sub Class Of temperature control parameter c

xplor format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000595
Description

A file format associated with the XPLOR-NIH software, used for representing 3D grid data. It is a text-based format that defines a grid and the data values at each point, often used for electron density maps. This format is a common way to store volumetric data in crystallography and NMR. (UNVERIFIED)

Sub Class Of plot data format c

protein backbone torsion angle c

IRI http://purl.obolibrary.org/obo/MOLSIM_001341
Description

A specific type of dihedral angle that describes the conformation of the protein backbone. The key angles determine the protein's secondary structure. Their values are the basis of the Ramachandran plot, a fundamental tool for structural validation. These angles are universally known as phi, psi, and omega. (UNVERIFIED)

Sub Class Of dihedral angle c

OpenCL c

IRI http://purl.obolibrary.org/obo/MOLSIM_002046
Description

OpenCL (Open Computing Language) is an open, royalty-free standard for parallel programming of heterogeneous systems, including CPUs, GPUs, DSPs, and other processors. It provides a low-level API that has been widely used by simulation engines to accelerate computations across diverse and non-proprietary hardware platforms. (UNVERIFIED)

Sub Class Of application programming interface c

pre-resonance raman spectra c

IRI http://purl.obolibrary.org/obo/MOLSIM_001012
Description

This is a specialized Raman technique where the laser excitation frequency is chosen to be near an electronic absorption band of a target molecule or molecular component (chromophore). This proximity greatly enhances the Raman signals of vibrations coupled to that electronic transition, allowing selective study of specific sites. It is valuable for focusing on active sites within complex biomolecules. (UNVERIFIED)

Sub Class Of vibrational spectroscopy c

cif format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001044
Description

The Crystallographic Information File (cif) format is a standard text-based file format used to store information about molecular structures, especially those determined by experiments. It uses a flexible tag-based structure with key-value pairs, making it more robust and extensible for handling the large, complex structures and extensive metadata common in modern structural biology. As the official format of the Protein Data Bank (PDB), the macromolecular CIF (mmCIF) variant has superseded the older PDB format for archiving and distributing 3D coordinates of proteins and nucleic acids. (UNVERIFIED)

Sub Class Of molecular structure format c

non-covalent interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000062
Description

An interaction between atoms, ions, or molecules that does not involve the sharing of valence electrons to form a covalent bond. These interactions, including Van der Waals forces, electrostatic interactions (encompassing hydrogen bonds, salt bridges, dipole interactions), π-effects, and hydrophobic effects, govern molecular recognition, self-assembly, folding, and the stability of biomolecular complexes. Though individually weaker than covalent bonds (typically 0.1-10 kcal/mol vs >50 kcal/mol), their cumulative effect is critical for biological structure and function. (UNVERIFIED)

Sub Class Of interaction type c
Super Class Of

cpein format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001104
Description

The cpein format is a complex input file for advanced simulations that simultaneously model changes in both protonation and electron-transfer states. It defines the properties of residues that can be affected by both the surrounding pH and the electrochemical potential. This format is required for constant pH and potential (CpH/E) simulations, which are used to study complex bioenergetic processes where proton and electron transfers are coupled. (UNVERIFIED)

Sub Class Of simulation parameter format c

GROMOS96 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001981
Description

The GROMOS96 force field is a family of united-atom molecular mechanics parameter sets developed in conjunction with the GROMOS96 simulation software. It treats non-polar hydrogen atoms as part of the heavy atoms they are bonded to (e.g., CH, CH2, CH3) to reduce computational complexity while maintaining accuracy for biomolecular simulations. For experts, this family includes the widely used 43A1, 43A2, 45A3, and 53A6 parameter sets, which differ in their specific tuning for properties like heat of vaporization and solvation free energies. (UNVERIFIED)

Sub Class Of united-atom force field c

restraint electrostatic potential (RESP) c

IRI http://purl.obolibrary.org/obo/MOLSIM_000206
Description

A popular method for deriving high-quality partial atomic charges for molecules, frequently used in conjunction with the AMBER force fields. It involves calculating the quantum mechanical electrostatic potential (ESP) on a grid of points around the molecule (typically using Hartree-Fock or DFT methods), and then fitting atom-centered point charges to reproduce this ESP using a least-squares algorithm. Crucially, 'restraints' (typically hyperbolic penalties) are applied during the fitting process to prevent unrealistically large charges on buried atoms and ensure transferability, often performed in multiple stages for chemical equivalence. (UNVERIFIED)

Sub Class Of ligand charge model c

endpoint free energy tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000257
Description

An endpoint free energy tool is a software program that estimates binding or solvation free energies using data from only the initial and final states of a process, such as a bound complex and unbound ligands. These tools typically employ molecular mechanics energies combined with continuum solvation models (like PB or GB) and surface area terms to approximate the free energy change. For experts, this category encompasses implementations of the MM/PBSA and MM/GBSA methods, offering a computationally efficient but approximate alternative to alchemical methods. (UNVERIFIED)

Sub Class Of free energy analysis tool c
Super Class Of

ligand Gaussian accelerated molecular dynamics 3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000402
Description

Ligand Gaussian accelerated molecular dynamics 3 (GaMD3) is a recent and refined version of an enhanced sampling method used to accelerate the simulation of ligand binding and unbinding events. It applies a smoothly varying boost potential to the system's energy landscape, allowing the ligand to escape from deep binding pockets and explore different conformations more rapidly. This third-generation implementation includes improved algorithms for updating the boost potential, aiming for more robust and efficient sampling of complex ligand dynamics. (UNVERIFIED)

Sub Class Of ligand Gaussian accelerated molecular dynamics c

angle c

IRI http://purl.obolibrary.org/obo/MOLSIM_001339
Description

A type of structural property representing the angle formed by three specified atoms. It is a fundamental descriptor of local molecular geometry. Monitoring bond angle values over time is used to characterize the flexibility and conformational changes of a molecule. This value is commonly referred to as angle in analysis scripts. (UNVERIFIED)

Sub Class Of structural property c

spectroscopic property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001398
Description

A type of output data descriptor that represents a physical quantity that can be measured by or is related to a spectroscopic experiment. These properties are often calculated from simulations and compared directly with experimental data to validate the accuracy of the simulation model. They provide a crucial link between computational models and the real world. These are the primary outputs of computational spectroscopy. (UNVERIFIED)

Sub Class Of computed observable c
Super Class Of

error metrics analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000127
Description

Error metrics are quantitative measures used to evaluate the discrepancy between predicted or calculated values (e.g., from a simulation or model) and true, reference, or experimentally observed values. Different metrics capture different aspects of the error, such as bias or average magnitude of deviation. They are essential for assessing the accuracy and reliability of computational predictions. (UNVERIFIED)

Sub Class Of statistical analysis c
Super Class Of

simulation duration c

IRI http://purl.obolibrary.org/obo/MOLSIM_001167
Description

A type of integration parameter that specifies the total length of time the simulation is run. This determines how much conformational space can be explored and the timescale of the phenomena that can be observed. The simulation duration is typically set by specifying the total number of steps, nsteps, in the input file. (UNVERIFIED)

Sub Class Of integration parameter c
Super Class Of simulation time per stage c

AMBERGS c

IRI http://purl.obolibrary.org/obo/MOLSIM_001973
Description

AMBER-GS (Garcia-Sanbonmatsu) is a variant of the AMBER protein force field designed to improve the simulation of protein secondary structure equilibrium. It specifically modifies the backbone torsion potentials of the earlier ff94 parameter set to reduce the artificial over-stabilization of alpha-helices. For experts, this modification typically involves setting the N=3 term of the Fourier series for phi and psi dihedrals to zero to correct the helical propensity bias. (UNVERFIED)

Sub Class Of protein force field c

buckle c

IRI http://purl.obolibrary.org/obo/MOLSIM_001363
Description

A base pair parameter that describes the rotation of the two bases relative to each other around their long axis, roughly parallel to the hydrogen bonds. A non-zero buckle indicates that the base pair is not perfectly flat. It contributes to the overall shape of the helix. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair parameter c

aug-cc-pV6Z-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000555
Description

The aug-cc-pV6Z-RI basis set is the optimized auxiliary fitting basis for use with the extremely large aug-cc-pV6Z orbital basis within Resolution of Identity (RI) or Density Fitting (DF) frameworks. It enables the application of RI/DF integral speed-ups, essential for any practical calculation attempting to use the aug-cc-pV6Z orbital basis. (UNVERIFIED)

Sub Class Of split-valence c

thermostat coupling parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001176
Description

A temperature control parameter that controls the strength or frequency of the coupling between the simulation system and the virtual heat bath. This parameter determines how quickly the system's temperature relaxes to the target value. The choice of thermostat coupling parameter can affect the stability and efficiency of the temperature control. This is often set with keywords like tautp or gamma_ln. (UNVERIFIED)

Sub Class Of temperature control parameter c
Super Class Of

AMBAT c

IRI http://purl.obolibrary.org/obo/MOLSIM_001604
Description

AMBAT is a software tool used to construct three-dimensional models of cell membranes for use in molecular simulations. Consisting of a set of scripts, it automates the complex process of arranging lipid molecules to form a proper bilayer and can then embed a protein structure within that prepared membrane. As part of the AmberTools suite, AMBAT (Amber Membrane Builder and Analysis Tool) provides a script-based workflow for both the initial construction of lipid bilayer systems and for subsequent analysis of membrane properties, serving as a specialized tool for preparing membrane protein simulations. (UNVERIFIED)

Source https://ambermd.org/doc12/Amber25.pdf
Sub Class Of membrane packing tool c

tumuc1 DNA force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001447
Description

Tumuc1 is a modern force field parameter set for DNA simulations that was derived directly from high-level quantum mechanical calculations. Unlike older models that rely heavily on empirical fitting, it uses a consistent set of bonded parameters and charges obtained from first-principles theory. This approach aims to provide a more rigorous and accurate physical description of DNA structure and dynamics. (UNVERIFIED)

Sub Class Of DNA force field c

NBFIX correction c

IRI http://purl.obolibrary.org/obo/MOLSIM_001545
Description

An NBFIX correction is a specific, pairwise adjustment to the non-bonded Lennard-Jones parameters used in the CHARMM force field. These corrections are introduced for specific pairs of atom types, such as between a cation and an oxygen atom, to improve the agreement with experimental or high-level theoretical data. For experts, applying the correct NBFIX corrections is essential for accurately simulating systems like ion channels or metalloproteins with the CHARMM force field. (UNVERIFIED)

Sub Class Of force field component c

Ptraj script format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000916
Description

A Ptraj script is an input file containing commands for the ptraj or its successor cpptraj programs, which are part of the AmberTools suite used for analyzing molecular dynamics trajectories. The script specifies input trajectory files (trajin), reference structures, and a series of analysis commands (e.g., rms, distance, hbond, radgyr, cluster) to calculate specific properties or perform structural analyses. It defines the post-processing workflow for Amber or other compatible trajectory formats. (UNVERIFIED)

Sub Class Of script format c

RESP induced dipole charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001528
Description

This is an advanced method for calculating atomic charges that also accounts for how a molecule's electron cloud can be distorted by its neighbors. A RESP induced dipole charge model is a charge derivation scheme used for polarizable force fields, where the fitting procedure determines not only the permanent electrostatic potential but also the response to an electric field. This approach provides a more physically realistic and accurate electrostatic model than fixed-charge RESP, which is essential for high-fidelity polarizable simulations. (UNVERIFIED)

Sub Class Of ligand charge model c

delta machine learning potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001527
Description

This is a machine learning model that learns to predict only the correction needed to improve a fast, approximate calculation, rather than learning the entire energy from scratch. A delta machine learning potential (Δ-MLP) is a hybrid approach where a machine learning model is trained to predict the difference between a low-cost baseline method and a high-accuracy target method. This strategy can achieve the accuracy of the high-level method with a computational cost closer to that of the low-level method, making it a powerful tool for creating highly accurate and efficient potentials. (UNVERIFIED)

Sub Class Of QM/MM model component c

auto-correlation coefficients analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000345
Description

Auto-correlation coefficients are the numerical values that make up the Auto-Correlation Function (ACF) at different time lags (τ). Each coefficient measures the linear correlation between the time series and the same series shifted by τ time steps. Plotting these coefficients against the lag reveals the temporal structure and memory effects within the data. (UNVERIFIED)

Sub Class Of auto-correlation analysis c
Super Class Of partial auto-correlation coefficients analysis c

united-atom force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001531
Description

A united-atom force field is a type of force field that uses a simplified representation for some groups of atoms. Specifically, non-polar hydrogen atoms are not represented explicitly but are grouped together with the heavy atom they are bonded to, such as treating a CH2 group as a single interaction center. This reduces the total number of particles in the simulation, making the calculations faster than a full all-atom model. (UNVERIFIED)

Sub Class Of force field c
Super Class Of

PIF correction c

IRI http://purl.obolibrary.org/obo/MOLSIM_001541
Description

The PIF correction is a computational adjustment used to improve the accuracy of free energy calculations that involve changing the electrical charges of atoms. The Potential-of-Interaction-Factorization (PIF) correction is a method used in alchemical free energy calculations to handle the electrostatic decoupling of a molecule from its periodic images in a simulation box. Applying this correction is important for obtaining accurate absolute solvation free energies from alchemical calculations performed under periodic boundary conditions. (UNVERIFIED)

Sub Class Of QM/MM model component c

raman spectra c

IRI http://purl.obolibrary.org/obo/MOLSIM_001011
Description

Raman spectra are produced by illuminating a sample, usually with a laser, and analyzing the frequency of the light scattered by the molecules. While most light scatters at the original frequency, some exchanges energy with molecular vibrations, resulting in frequency shifts that reveal the molecule's vibrational energies. Raman spectroscopy is complementary to IR and particularly useful for studying symmetric vibrations and molecules in aqueous solution. (UNVERIFIED)

Sub Class Of vibrational spectroscopy c

prep (cartesian) format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001092
Description

This is a text file format used by the Amber software to define a new molecular building block, or residue, using standard 3D coordinates. The file lists the atoms, their chemical properties, and their exact X, Y, and Z positions, along with the internal bonding information. This format is particularly useful for creating a new residue library entry directly from an existing structure file, such as a PDB or mol2 file of a drug molecule. (UNVERIFIED)

Sub Class Of molecular topology format c

ABCG2 charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001434
Description

A method for assigning partial atomic charges to organic molecules for use in molecular simulations. This model aims to produce charges that accurately reproduce a molecule's interaction with water, a key factor in predicting properties like solvation free energy. When used with the General AMBER Force Field (GAFF2), it has demonstrated the ability to achieve "chemical accuracy" for a wide range of compounds. (UNVERIFIED)

Sub Class Of ligand charge model c

solvation analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001963
Description

A solvation analysis tool is a software program designed to characterize the structure and thermodynamics of the solvent surrounding a solute. This includes calculating radial distribution functions, solvent density maps, or integral equation theories like RISM to determine solvation free energies. These tools provide insights into the hydration shell and the energetics of solute-solvent interactions. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of rism1d c

atom type c

IRI http://purl.obolibrary.org/obo/MOLSIM_001763
Description
  • Previous definition: An atom type is a classification assigned to an atom in a force field that defines its interaction parameters based on its chemical environment. It encodes not just the chemical element but also its hybridization state and bonding pattern, so a carbonyl carbon will have a different atom type than an aromatic carbon.

  • A classification assigned to an atom to describe its fundamental chemical identity or its specific physical and computational properties within a molecular model. (UNVERIFIED)

Sub Class Of identifier c
Super Class Of

physical property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001800
Description

A physical property is a measurable characteristic of a substance or system that describes its physical state, such as its temperature, pressure, or density. In molecular simulations, these properties are calculated as averages over the course of the trajectory to describe the macroscopic state of the simulated system. These calculated properties are the primary outputs used to validate a simulation against experimental data and to understand the material characteristics of the molecular model. (UNVERIFIED)

Sub Class Of computed observable c
Super Class Of

NWChem restart format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000893
Description

Restarting an NWChem calculation involves using various files generated during a previous run, depending on the calculation type. This may include the run database (.db), molecular orbital vector files (.movecs), geometry files, or specific molecular dynamics restart files (.rst) containing coordinates and velocities. Input directives like RESTART or TASK MD RESTART instruct NWChem to utilize these files to continue the computation. (UNVERIFIED)

Sub Class Of simulation state format c

all atom c

IRI http://purl.obolibrary.org/obo/MOLSIM_001914
Description

All-atom is a simulation model resolution where every atom in the system, including all hydrogen atoms, is represented as an individual particle with its own parameters. This provides the highest level of structural detail and is the standard for most high-resolution biomolecular simulations. For experts, all-atom models are necessary for studying processes that involve specific chemical interactions like hydrogen bonding. (UNVERIFIED)

Sub Class Of simulation model resolution c

Jmol c

IRI http://purl.obolibrary.org/obo/MOLSIM_001932
Description

Jmol is a free, open-source molecular viewer for 3D chemical structures, written in the Java programming language. Because it is Java-based, it can run on a wide variety of operating systems and is often used as a tool for displaying molecules on websites. For researchers and educators, Jmol provides a versatile and accessible tool for basic molecular visualization and analysis. (UNVERIFIED)

Sub Class Of molecular structure visualization tool c

polarizability c

IRI http://purl.obolibrary.org/obo/MOLSIM_001380
Description

A type of electronic property that measures how easily a molecule's electron cloud is distorted by an external electric field. It determines the strength of induced dipole interactions, which are a key component of dispersion forces. The polarizability is essential for modeling intermolecular interactions accurately, especially in polarizable force fields. This is often reported as Polarizability (AU) in output files. (UNVERIFIED)

Sub Class Of electronic property c
Super Class Of

ion-oxygen distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001338
Description

A specific type of distance that measures the average separation between an ion and the oxygen atoms of surrounding water molecules. This value is a key descriptor of an ion's first solvation shell. It is used to validate and parameterize ion force fields by comparing to experimental data. This value is often referred to as IOD or Ion-Oxygen Distance. (UNVERIFIED)

Sub Class Of distance c

S2 order parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001402
Description

A type of spectroscopic property that measures the motional restriction of a bond vector, typically an N-H bond in a protein, on fast timescales. The S2 order parameter ranges from 0 (completely isotropic motion) to 1 (completely rigid) and is measured by NMR relaxation experiments. It is a powerful tool for characterizing internal protein dynamics. This is a standard output of NMR relaxation analysis. (UNVERIFIED)

Sub Class Of spectroscopic property c

multi-RMSD collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001841
Description

A multi-RMSD collective variable is a coordinate that simultaneously measures a molecule's structural similarity to several different reference structures. This is useful for tracking a molecule's transitions between multiple known functional states, such as an active, inactive, and an intermediate conformation. By monitoring which reference structure the molecule is closest to, this variable can map out the complex conformational landscape connecting different states. (UNVERIFIED)

Sub Class Of collective variable c

insertion code c

IRI http://purl.obolibrary.org/obo/MOLSIM_001048
Description
  • A character used in PDB files to handle insertions in a sequence.

  • An insertion code is a letter used in structure files when extra amino acids have been inserted into a sequence without renumbering everything. As a type of identifier, the insertion code is a character used in PDB and mmCIF formats to handle residues that have been inserted into a sequence relative to a reference numbering scheme, allowing multiple residues to share the same residue number. This code is critical for unambiguously identifying specific residues in atom selections, for example, residue "10A" is distinct from "10B". This is referred to in PDB files as "iCode" and is used in selection syntax, for example, residue 10A. (UNVERIFIED)

Sub Class Of identifier c

nucleic acid torsion angle c

IRI http://purl.obolibrary.org/obo/MOLSIM_001343
Description

A specific type of dihedral angle that describes the conformation of the sugar-phosphate backbone in DNA or RNA. These angles define the overall shape and flexibility of the nucleic acid helix. The glycosidic torsion angle describes the orientation of the base relative to the sugar. These angles are known as alpha, beta, gamma, delta, epsilon, zeta, and chi. (UNVERIFIED)

Sub Class Of dihedral angle c

GROMACS output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000885
Description

The GROMACS MD output typically refers to the primary text log file (.log) generated by the mdrun simulation engine. It contains summary information about the simulation setup, detailed performance data (like PME load balancing and timings), step-by-step progress updates (if configured in the .mdp file), and final run statistics including energy averages and runtime. This file is crucial for monitoring performance and verifying run completion. (UNVERIFIED)

Sub Class Of simulation log format c

minimal c

IRI http://purl.obolibrary.org/obo/MOLSIM_000017
Description

A minimal basis set includes only the minimum number of basis functions required to accommodate all the electrons of an atom in its ground electronic state. For example, it uses one function for the 1s orbital of hydrogen, and one function each for the 1s, 2s, and 2p orbitals (px, py, pz) of a second-row element like carbon. Minimal basis sets like STO-nG are computationally inexpensive but generally provide low accuracy. (UNVERIFIED)

Sub Class Of quantum mechanics basis set c
Super Class Of

volumetric map generation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000666
Description

Volumetric map generation is an analysis method that creates a three-dimensional grid of data representing a specific property in space. This can be used to visualize the average density of solvent molecules around a solute or the electrostatic potential surrounding a protein. For experts, this method transforms the discrete atomic information from a trajectory into a continuous field that can be visualized as a contoured surface or volume. (UNVERIFIED)

Sub Class Of structural analysis c

diffusion analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000948
Description

A type of dynamics analysis focused on quantifying the random translational and rotational movement of molecules or particles within the simulation environment due to thermal energy. It primarily involves calculating diffusion coefficients, which measure the rate at which particles spread out over time. This analysis provides insights into transport properties, viscosity, and mobility in fluids, membranes, or crowded cellular environments. (UNVERIFIED)

Sub Class Of dynamics analysis c
Super Class Of diffusion calculation analysis c

transition state search algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000424
Description

A transition state search algorithm is a specialized type of optimization algorithm designed to locate a saddle point on a potential energy surface, which corresponds to a chemical transition state. Unlike minimization algorithms that move "downhill" in energy, these methods must find a path that goes uphill to a maximum in one direction while being a minimum in all other directions. For computational chemists, these algorithms are essential for calculating reaction energy barriers and understanding reaction mechanisms. (UNVERIFIED)

Sub Class Of optimization algorithm c
Super Class Of dimer method algorithm c

analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000004
Description

The stage following simulation execution, where the generated trajectory data and energy files are processed and interpreted to extract meaningful scientific insights. This involves calculating various structural, dynamic, and thermodynamic properties, such as RMSD, RMSF, distances, angles, hydrogen bonds, interaction energies, free energies, diffusion coefficients, and clustering conformations. Appropriate analysis techniques are crucial for drawing valid conclusions from simulation results. (UNVERIFIED)

Sub Class Of molecular dynamics process c
In Domain Of alignment tool op
Super Class Of

parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001163
Description

An input variable or algorithmic setting defined prior to execution that governs the behavior, conditions, or numerical rules of a computational process (encompassing both simulation generation and post-run analysis). (UNVERIFIED)

Super Class Of

ceinutil.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001625
Description

The ceinutil.py script is a utility used to prepare the input files for constant redox potential (C-redox) molecular dynamics simulations in AMBER. It allows the user to specify which residues can change their redox state and defines the parameters for the simulation. This script is essential for setting up simulations that model the behavior of molecules in a specific electrochemical environment. (UNVERIFIED)

Sub Class Of utility script c

force-coordinate extrapolation integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_001725
Description

An advanced algorithm for updating atom positions in a molecular dynamics simulation that uses information from previous steps to predict the future motion. It works by extrapolating both the forces and the coordinates to the next time point, which can allow for a larger time step while maintaining numerical stability. This type of integrator is a specialized method aimed at improving the computational efficiency of a simulation. (UNVERIFIED)

Sub Class Of multiple time-stepping algorithm c

aug-cc-pCVDZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000556
Description

The aug-cc-pCVDZ basis set combines the features of both core-valence correlation description and augmentation with diffuse functions at the double-zeta level. It includes the tight functions of cc-pCVDZ for core effects and the diffuse functions of aug-cc-pVDZ for anions or weak interactions. It is used for calculations needing to accurately describe both phenomena simultaneously. (UNVERIFIED)

Sub Class Of split-valence c

small-angle scattering (SAS) c

IRI http://purl.obolibrary.org/obo/MOLSIM_000990
Description

An experimental technique, either using X-rays (SAXS) or neutrons (SANS), where radiation is scattered by molecules in solution at low angles, providing information complementary to MD simulations. The resulting scattering profile is sensitive to the overall size, shape, and quaternary structure (oligomerization) of the molecules, averaged over the entire ensemble present in the sample. SAS data provides valuable low-resolution structural information that can be used to validate conformational ensembles generated by MD or to guide modeling of large-scale structures. (UNVERIFIED)

Sub Class Of complementary techniques for MD c
Super Class Of small angle x-ray scattering c

phosaa19SB parameter set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001502
Description

The phosaa19SB parameter set is a collection of force field parameters for simulating phosphorylated amino acid residues. It is designed to be fully compatible with the modern AMBER ff19SB protein force field. For scientists studying the dynamics of phosphorylated proteins, this parameter set provides the most up-to-date and consistent parameters for use with the ff19SB protein model. (UNVERIFIED)

Sub Class Of force field parameter set c

spin effect* c

IRI http://purl.obolibrary.org/obo/MOLSIM_000626
Description

Quantum mechanical phenomena arising from the intrinsic angular momentum (spin) possessed by fundamental particles like electrons and atomic nuclei. Spin gives rise to magnetic moments, and interactions involving these moments (e.g., electron spin coupling with nuclear spin or orbital angular momentum, or interaction with external magnetic fields) lead to splitting of energy levels and specific spectroscopic signatures (e.g., in NMR, EPR). Spin effects are generally not included in classical force fields but are crucial for understanding magnetism and certain spectroscopic or reactive processes. (UNVERIFIED)

Sub Class Of quantum interaction c
Super Class Of

ligand protonation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000222
Description

A protonation tool specifically focused on determining the most likely ionization and tautomeric states of small molecule ligands, often in the context of drug discovery or protein-ligand binding studies. Predicting ligand protonation can be challenging due to diverse functional groups and potential binding site environmental effects. Tools like Epik (Schrödinger), Marvin (ChemAxon), or modules in Open Babel might address this specifically. (UNVERIFIED)

Sub Class Of protonation tool c
Super Class Of Epik c

preparation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000002
Description

The initial stage of a biomolecular simulation process, focused on setting up the molecular system and simulation environment before running the main simulation. This typically involves obtaining structures, adding missing atoms or molecules (like solvent), assigning force field parameters, defining simulation conditions (box, ensemble), and performing initial minimization and equilibration. Proper preparation is crucial for the stability and validity of subsequent simulation steps. (UNVERIFIED)

Sub Class Of molecular dynamics process c
Super Class Of

electric dipole moment unit c

IRI http://purl.obolibrary.org/obo/MOLSIM_010009
Description

A unit that measures the separation of positive and negative electrical charges within a system, indicating the system's overall polarity.

Sub Class Of unit c
Super Class Of debye c

metabolomics repository c

IRI http://purl.obolibrary.org/obo/MOLSIM_000712
Description

A repository dedicated to storing and disseminating datasets from metabolomics experiments, which involve the comprehensive study of small molecules (metabolites) within cells, tissues, or organisms. These resources support systems biology and biomarker discovery. MetaboLights is an example. (UNVERIFIED)

Sub Class Of repository database c

side-chain hydrogen bonds c

IRI http://purl.obolibrary.org/obo/MOLSIM_000191
Description

Hydrogen bonds where at least one of the participating atoms (either the donor hydrogen attached to its electronegative atom, or the acceptor electronegative atom) belongs to an amino acid side chain, rather than exclusively involving backbone atoms. These interactions can occur between two side chains, or between a side chain and the backbone, contributing to the stability of the protein's tertiary and quaternary structure, protein-ligand interactions, and enzyme active site chemistry. They involve polar or charged side chains (e.g., Ser, Thr, Tyr, Asp, Glu, Asn, Gln, Lys, Arg, His). (UNVERIFIED)

Sub Class Of hydrogen bond c

aug-cc-pVQZ-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000553
Description

The aug-cc-pVQZ-RI basis set serves as the auxiliary fitting basis optimized for Resolution of Identity (RI) or Density Fitting (DF) calculations utilizing the aug-cc-pVQZ orbital basis. Its use is essential for applying the computationally advantageous RI/DF approximations effectively at this high level of theory when diffuse functions are required. (UNVERIFIED)

Sub Class Of split-valence c

alchemical transformation state c

IRI http://purl.obolibrary.org/obo/MOLSIM_001215
Description

A system setup parameter that specifies whether the simulation involves an alchemical transformation for a free energy calculation. This parameter indicates that some atoms in the system have their properties changed over the course of the simulation. The alchemical transformation state is a key descriptor for identifying free energy calculations. This is often controlled by a perturbation flag. (UNVERIFIED)

Sub Class Of system setup parameter c

effective energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_010025
Description

Effective energy analysis is a computational method that estimates the free energy of a molecular conformation by summing its internal potential energy and its solvation free energy. This approach approximates the true free energy of a state by assuming that the solute's internal entropy can be treated separately or is negligible for relative comparisons. It forms the theoretical basis for widely used endpoint free energy methods, such as MM/PBSA and MM/GBSA, used to predict binding affinities. (UNVERIFIED)

Sub Class Of binding energy analysis c
Super Class Of

MARTINI force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001982
Description

The MARTINI force field is a coarse-grained molecular mechanics model designed to simulate the interactions of lipids, proteins, and carbohydrates at a lower resolution than all-atom models. It typically maps four heavy atoms and their associated hydrogens to a single interaction bead, classifying beads based on polarity, hydrophobicity, and charge. For experts, this 4:1 mapping strategy allows for simulations of large-scale membrane remodeling and self-assembly processes on microsecond timescales, though it may lack the detail required for specific hydrogen bonding networks. (UNVERIFIED)

Sub Class Of coarse-grained force field c

GROMACS portable input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002038
Description

A binary file format used by GROMACS that creates a self-contained description of a simulation ready to be executed. It combines the atomic coordinates, velocities, molecular topology, and all simulation control parameters into a single, portable machine-readable file. For experts, this file (extension .tpr) is generated by the gmx grompp preprocessor and ensures consistency by validating that the structure matches the topology and parameters before the simulation engine is launched. (UNVERIFIED)

Sub Class Of simulation state format c

CpHMD state change attempt frequency c

IRI http://purl.obolibrary.org/obo/MOLSIM_001260
Description

A constant pH parameter that specifies the number of MD steps between attempts to change the protonation state of a titratable residue. A smaller CpHMD state change attempt frequency results in more frequent sampling of protonation states but is computationally more expensive. This is a key parameter for controlling the CpHMD simulation. This is often set with the keyword ntcnstph. (UNVERIFIED)

Sub Class Of constant pH parameter c

shell molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_002015
Description

Shell molecular dynamics is a specialized simulation technique used to model how atoms electrically respond to their surroundings using a polarizable force field. It represents polarizable atoms using a "core" particle attached by a harmonic spring to a massless, charged "shell" particle, which mimics the displacement of the electron cloud. For experts, the motion of these massless shells is typically integrated using an extended Lagrangian formalism (Drude oscillator) where the shells are assigned a small fictitious mass and kept at a low temperature to ensure they adiabatically follow the nuclei. (UNVERIFIED)

Sub Class Of molecular dynamics c

Kolmogorov-Smirnov test analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000125
Description

The Kolmogorov-Smirnov (KS) test is a non-parametric statistical test used to determine if two underlying one-dimensional probability distributions differ, or if a sample of data comes from a specific reference probability distribution. It quantifies the maximum distance between the empirical distribution function of the sample(s) and the cumulative distribution function of the reference distribution or the other sample. It is sensitive to differences in location, scale, and shape. (UNVERIFIED)  

Sub Class Of statistical test analysis c

simulation time per stage c

IRI http://purl.obolibrary.org/obo/MOLSIM_001168
Description

A specific type of simulation duration that defines the length of a single stage within a multi-stage simulation protocol. This is used in methods like steered MD or umbrella sampling, where the overall process is broken down into smaller, sequential runs. The simulation time per stage ensures that each part of the protocol is run for a defined period. This is often specified as nsteps within a block for a specific stage. (UNVERIFIED)

Sub Class Of simulation duration c

conformational transition c

IRI http://purl.obolibrary.org/obo/MOLSIM_001793
Description

A conformational transition is the process where a molecule changes its overall shape from one stable three-dimensional arrangement to another. This can be a large-scale event, such as a protein switching between an active and an inactive state, or a more local change like the flipping of a sugar ring. Studying these transitions is fundamental to understanding how molecular function is controlled by changes in structure. (UNVERIFIED)

Sub Class Of kinetic property c
Super Class Of

QM/MM link atom distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001247
Description

A QM/MM parameter that specifies the distance from a QM atom to its corresponding link atom, which is used to saturate the valency at the QM/MM boundary. The QM/MM link atom distance is a key parameter for ensuring a stable and accurate treatment of the QM/MM interface. This is often set with the keyword lnk_dis. (UNVERIFIED)

Sub Class Of QM/MM parameter c

AM1 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000807
Description

Austin Model 1, a popular semi-empirical quantum method based on the NDDO (Neglect of Diatomic Differential Overlap) approximation. It includes parameters adjusted to reproduce experimental molecular properties like heats of formation and geometries for a wide range of organic molecules. AM1 aimed to improve upon the earlier MNDO method, particularly regarding hydrogen bonding (UNVERIFIED).

Sub Class Of NDDO c
Super Class Of Sparkle/AM1 c

number of umbrella sampling windows c

IRI http://purl.obolibrary.org/obo/MOLSIM_001226
Description

An umbrella sampling parameter that specifies the total number of individual simulations (windows) performed in an umbrella sampling calculation. Each window is typically centered at a different value along the reaction coordinate. The number of umbrella sampling windows is a key parameter for ensuring adequate coverage of the entire reaction coordinate. This is a key parameter of the overall simulation design. (UNVERIFIED)

Sub Class Of umbrella sampling parameter c

sum of sines of dihedrals collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001837
Description

This is a collective variable created by summing the sine values of several different dihedral angles. It is often used in conjunction with a corresponding sum of cosines to create a two-dimensional space that can describe the collective rotational state of multiple bonds without encountering the boundary problems of a single periodic variable. This allows for a more robust description of complex torsional motions in enhanced sampling simulations. (UNVERIFIED)

Sub Class Of torsion collective variable c

Q-Chem input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000878
Description

A Q-Chem input file provides instructions to the Q-Chem quantum chemistry program using distinct data blocks marked by $block_name and $end. Key blocks include $molecule (defining charge, multiplicity, and geometry), $rem (specifying calculation method, basis set, job type via keywords), and potentially others like $basis or $opt. This structure organizes the input required for a wide range of QM calculations. (UNVERIFIED)

Sub Class Of simulation input format c

DNA-RNA system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001897
Description

A DNA-RNA system is a specific type of nucleic acid complex system composed of an interacting DNA strand and an RNA strand. Such hybrid helices are important biological intermediates that occur during processes like transcription and reverse transcription. For experts, simulating these systems is important for understanding the structural basis of these fundamental genetic processes. (UNVERIFIED)

Sub Class Of nucleic acid complex system c

GROMACS restart format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000892
Description

A GROMACS restart is typically facilitated by a checkpoint file (.cpt), which stores the full state of the simulation engine (mdrun) at specific intervals, including step number, time, velocities, and pressure/temperature coupling variables. Using the -cpi option with mdrun allows the simulation to resume exactly from the state saved in the .cpt file. These files are binary and essential for continuing interrupted runs or extending simulations. (UNVERIFIED)

Sub Class Of simulation state format c

BioBB c

IRI http://purl.obolibrary.org/obo/MOLSIM_001921
Description

BioBB, or BioExcel Building Blocks, is a library of Python wrappers that create a standardized interface for many common biomolecular simulation programs like GROMACS and AmberTools. Each building block performs a specific task, such as running an energy minimization or calculating an RMSD, using a consistent input and output format. For computational biologists, BioBB provides an interoperable toolkit for constructing complex, reproducible, and portable simulation workflows. (UNVERIFIED)

Sub Class Of library c

two-state transition model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001486
Description

A two-state transition model is a simplified statistical model used to describe a system that can exist in two distinct states, such as a protein in a folded or unfolded state. The model characterizes the probability of switching from one state to the other, often used to analyze the kinetics of conformational changes. For experts, this model provides a framework for calculating rates and free energy differences from simulations where transitions between two well-defined states are observed. (UNVERIFIED)

Sub Class Of statistical model c

roll c

IRI http://purl.obolibrary.org/obo/MOLSIM_001370
Description

A base pair step parameter that describes the rotation of one base pair relative to the next around their long axes. A non-zero roll angle causes the helix to bend into the major or minor groove. It is a crucial parameter for DNA bendability and protein recognition. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair step parameter c

ROHF c

IRI http://purl.obolibrary.org/obo/MOLSIM_000812
Description

Restricted Open-shell Hartree-Fock, a specific formulation of the Hartree-Fock method designed for molecules with unpaired electrons (open-shell systems) where constraints are applied to keep spatial orbitals doubly occupied where possible. It provides a wavefunction that is an eigenfunction of the spin operator, which is often desirable but can be more computationally challenging than UHF for some systems. It is a type of ab initio calculation (UNVERIFIED).

Sub Class Of Hartree-Fock c

aug-cc-pV(T+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000562
Description

The aug-cc-pV(T+d)Z basis set provides a triple-zeta quality description that includes both diffuse functions ('aug-') and the extra d-function ('+d') intended mainly for second-row atoms (Na-Ar). It aims for high accuracy in situations involving these elements where both diffuse electron density and the specific d-orbital flexibility are needed, such as in anions or intermolecular complexes involving second-row atoms. (UNVERIFIED)

Sub Class Of split-valence c

chirality c

IRI http://purl.obolibrary.org/obo/MOLSIM_001351
Description

A type of structural property that describes the "handedness" of a chiral center in a molecule. It is a fundamental stereochemical property that determines how a molecule interacts with other chiral molecules and polarized light. Analysis tools can checkchirality to ensure that the stereochemistry is maintained correctly during a simulation. This property is fundamental to stereochemistry. (UNVERIFIED)

Sub Class Of structural property c

system setup parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001210
Description

A type of simulation parameter that defines the overall state and composition of the molecular system being simulated. These parameters are typically set once during the system building phase and remain constant throughout the simulation. The system setup parameter settings provide essential context for interpreting the simulation results. These are often specified in the input to programs like tleap or gmx solvate. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

complex system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001889
Description

A complex system in this context refers to a molecular simulation system that contains two or more interacting macromolecules, or a macromolecule interacting with a smaller molecule like a drug. The primary focus of simulating such a system is to study the interactions, binding, and functional consequences of the molecules coming together. For experts, this category encompasses the vast majority of simulations aimed at understanding molecular recognition. (UNVERIFIED)

Sub Class Of molecular simulation system c
Super Class Of

3DMol.js c

IRI http://purl.obolibrary.org/obo/MOLSIM_001922
Description

3Dmol.js is a JavaScript library used for creating interactive, 3D visualizations of molecular structures directly within a web browser. It allows web developers to embed high-quality molecular viewers into websites and web applications without requiring any plugins. For creators of online scientific resources, 3Dmol.js provides a lightweight and versatile tool for displaying and interacting with molecular data on the web. (UNVERIFIED)

Sub Class Of

VASP c

IRI http://purl.obolibrary.org/obo/MOLSIM_000792
Description

The Vienna Ab initio Simulation Package, a sophisticated software package for performing quantum mechanical calculations based on Density Functional Theory (DFT) or Hartree-Fock, using pseudopotentials and a plane wave basis set. VASP is extremely widely used in materials science and condensed matter physics for simulations of solids, surfaces, and interfaces, including ab initio molecular dynamics. While it can simulate any collection of atoms, its typical use cases and methodology (plane waves, periodic boundaries) differ from mainstream solvated biomolecule simulation approaches. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

traj3d format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001071
Description
  • The traj3d "pseudo-trajectory" is not a standard, independent file format but rather a specialized output option available within the hist command in Amber's cpptraj analysis program. It is created by taking the three data dimensions of a 3D histogram and writing them out as the X, Y, and Z coordinates of a single "atom" over time. This reformatting creates a trajectory-like file that can be loaded into molecular visualization software. The purpose is to allow researchers to visually inspect the 3D distribution of data from the histogram in a more intuitive, interactive 3D space, rather than as a static 2D plot. There is no mandatory file extension for the output file itself.

  • The CPPTRAJ traj3d format is a special file type used to visualize 3D data maps as if they were a moving particle. As a type of molecular trajectory format, this is a pseudo-trajectory format generated by the hist command in cpptraj, where the three dimensions of a 3D histogram are written out as the X, Y, and Z coordinates of a single particle over time. This allows volumetric data, such as the spatial distribution of water molecules, to be loaded and visualized as a 3D point cloud in programs like VMD. This format is generated using the traj3d keyword within the hist command in a cpptraj input script. (UNVERIFIED)

Sub Class Of molecular trajectory format c

machine-learned solvent excluded surface model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001526
Description

A machine-learned solvent excluded surface model is a modern type of implicit solvent model that uses machine learning algorithms to predict solvation free energy. The model is trained on a large dataset of molecules with known solvation energies, learning the complex relationship between a molecule's 3D structure and its interaction with the solvent. For experts, these models aim to achieve the accuracy of high-level theories at a fraction of the computational cost by leveraging the power of artificial intelligence. (UNVERIFIED)

Sub Class Of implicit solvent model c

bootstrapped error estimates analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000134
Description

Using bootstrapped error estimates serves as a validation technique by assessing the statistical robustness and uncertainty of results derived from limited data, such as simulation outputs. By repeatedly resampling the data and recalculating the metric of interest, bootstrapping helps determine if the observed result is stable or highly dependent on specific data points. Narrow confidence intervals or small standard errors from bootstrapping increase confidence in the result's reliability. (UNVERIFIED)

Sub Class Of validation analysis c

py_resp.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001577
Description

The py_resp.py script is a utility that helps automate the process of deriving Restrained Electrostatic Potential (RESP) charges for a new molecule. It typically orchestrates the multiple steps involved, such as generating quantum mechanical input files, running the QM calculation, and then performing the charge fitting. For experts developing parameters for a novel ligand, this script simplifies a complex and multi-step charge derivation workflow. (UNVERIFIED)

Sub Class Of utility script c

rotational diffusion c

IRI http://purl.obolibrary.org/obo/MOLSIM_001770
Description

Rotational diffusion is the process by which a molecule tumbles and reorients randomly in a liquid due to collisions with surrounding solvent molecules. The rate of this process is quantified by the rotational diffusion coefficient, which describes how quickly the molecule's orientation becomes randomized. This property can be calculated from simulation trajectories and compared directly to experimental measurements from techniques like NMR, providing a key validation of the simulation's accuracy. (UNVERIFIED)

Sub Class Of kinetic property c

CHELPG charge analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000477
Description

CHELPG charge analysis is a specific method for calculating atomic partial charges that are designed to reproduce the molecule's external electrostatic potential. It fits the charges to the quantum mechanical electrostatic potential calculated on a grid of points that extends well beyond the molecule's van der Waals surface. For experts, CHELPG charges are known for providing a good representation of the electrostatic potential at a distance from the molecule, though they can sometimes be less stable than RESP charges. (UNVERIFIED)

Sub Class Of charge analysis c

hydration free energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001318
Description

A specific type of solvation free energy where the solvent is water. It represents the free energy change of transferring a molecule from the gas phase into an aqueous solution. The hydration free energy, also known as Hydration Free Energy (HFE), is a fundamental measure of a molecule's interaction with water. This value is a key benchmark for validating force fields. (UNVERIFIED)

Sub Class Of solvation free energy c

anharmonic vibrational corrections analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000636
Description

A refinement within frequency analysis that goes beyond the standard harmonic approximation (which assumes vibrations occur in a perfectly parabolic potential well) to account for the true, anharmonic shape of the potential energy surface. Calculating these corrections yields more accurate vibrational frequencies that better match experimental observations, particularly for large-amplitude motions or systems with significant vibrational coupling. This improves the quantitative interpretation of vibrational spectra and thermodynamic properties derived from frequencies. (UNVERIFIED)

Sub Class Of frequency analysis c

frequency analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000635
Description

An analysis method, typically based on quantum mechanics or molecular mechanics, used to calculate the vibrational frequencies and corresponding normal modes (patterns of atomic motion) of a molecule, usually performed at a stationary point on the potential energy surface (like an energy minimum or transition state). These frequencies can be compared to experimental vibrational spectra (e.g., IR, Raman) to validate the structure or force field. The analysis also helps confirm the nature of the stationary point (minimums have all real frequencies, transition states have one imaginary frequency). (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of anharmonic vibrational corrections analysis c

4-31G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000501
Description

The 4-31G basis set is an early Pople-style split-valence basis employing 4 contracted Gaussians for core orbitals. Its valence orbitals are split into two functions: a more flexible inner part contracted from 3 Gaussians and an outer part represented by a single Gaussian function. It was an improvement over minimal sets but is less commonly used now than the 6-31G family. (UNVERIFIED)

Sub Class Of split-valence c

CPPTRAJ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000252
Description

A powerful command-line trajectory analysis program, distributed with AmberTools, capable of processing trajectories from many simulation packages (AMBER, GROMACS, NAMD, CHARMM, etc.) and performing a wide variety of analyses. Its capabilities include calculating structural metrics (RMSD, radius of gyration, distances, angles, dihedrals), analyzing hydrogen bonds, performing principal component analysis (PCA), clustering, calculating interaction energies, grid analysis, and extensive data manipulation and output options. It is a central tool for analyzing simulation data in the AMBER ecosystem and beyond. (UNVERIFIED)

Sub Class Of trajectory processing tool c

amber OL3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001439
Description

The amber OL3 force field is a specific set of parameters for simulating RNA, designed for use with the AMBER simulation package. Developed by the Olomouc group in the Czech Republic, it represents a significant refinement of RNA backbone dihedral parameters over previous versions. For researchers studying RNA, OL3 was a widely adopted standard that provided a more accurate description of RNA's structural and dynamic behavior. (UNVERIFIED)

Sub Class Of RNA force field c

Seminario method modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000375
Description

The Seminario method is a specific force field parameterization method used to derive harmonic force constants for bond stretching and angle bending terms. It works by calculating the matrix of second derivatives of the energy (the Hessian matrix) from a quantum mechanical calculation and then using its eigenvalues and eigenvectors to determine the corresponding force constants. For experts, this method provides a systematic and automated way to obtain bonded parameters for new or non-standard molecules. (UNVERIFIED)

Sub Class Of force field parameterization modeling c

brownian dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_002025
Description

A simulation method that models the movement of molecules as a random walk driven by thermal collisions and damped by solvent viscosity. Unlike standard molecular dynamics, it ignores the mass and inertia of the particles, assuming that friction brings them to a terminal velocity instantly in response to forces. For experts, this is the limit of Langevin dynamics where the friction coefficient is very large (overdamped regime), often used for simulating large biomolecules or coarse-grained models where solvent is treated implicitly. (UNVERIFIED)

Sub Class Of molecular dynamics c

coefficient of determination c

IRI http://purl.obolibrary.org/obo/MOLSIM_001410
Description

A type of statistical property, also known as R-squared, that indicates the proportion of the variance in the dependent variable that is predictable from the independent variable(s). It provides a measure of how well the observed outcomes are replicated by the model. The coefficient of determination is a key metric for assessing the goodness of fit of a regression model. This is often reported as R^2 or R-squared. (UNVERIFIED)

Sub Class Of statistical property c

membrane analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001867
Description

Membrane analysis is a category of analysis methods specifically focused on characterizing the properties of lipid bilayer simulations. These methods are used to quantify the structural and dynamic behavior of the membrane itself and its interactions with other molecules, like embedded proteins. For experts, this includes calculating key properties such as the area per lipid, membrane thickness, and lipid order parameters to validate the simulation and understand membrane function. (UNVERIFIED)

Sub Class Of analysis c
Super Class Of lipid contact analysis c

xtc trajectory format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001055
Description

A compressed, binary file format from the GROMACS software for storing the trajectory of a molecular simulation. It uses a lossy compression algorithm to store atomic coordinates with reduced precision, resulting in much smaller file sizes. This is the most common trajectory format for GROMACS users when only atomic positions are needed for analysis. (UNVERIFIED)

Sub Class Of GROMACS trajectory format c

LANL2TZ(f) c

IRI http://purl.obolibrary.org/obo/MOLSIM_000521
Description

This notation indicates the LANL2TZ ECP and triple-zeta valence basis set, further augmented by adding f-type polarization functions to the heavy atoms treated by the ECP. The inclusion of f-functions allows for a more accurate description of electron correlation and polarization effects involving heavier elements, leading to improved accuracy for demanding calculations compared to unaugmented LANL2TZ. (UNVERIFIED)

Sub Class Of split-valence c

sequence data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000908
Description

Sequence formats are standardized ways to represent the primary structure of biological macromolecules, such as the order of amino acids in a protein or nucleotides in DNA/RNA, using strings of characters. These formats usually include a header line providing an identifier and description, followed by the sequence itself using standard codes (e.g., one-letter codes). They are fundamental in bioinformatics for storing and exchanging sequence data. (UNVERIFIED)

Sub Class Of data format c
Super Class Of fasta format c

locally enhanced sampling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000849
Description

Locally Enhanced Sampling (LES) is a technique used to improve the conformational sampling of a specific, localized part of a larger molecular system (e.g., a flexible loop or a bound ligand). It involves simulating multiple, non-interacting copies of the atoms in this local region simultaneously, while these copies interact with only a single representation of the surrounding environment. This effectively increases the exploration of the local conformational space without replicating the entire system. (UNVERIFIED)

Sub Class Of enhanced sampling c

tng trajectory format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001056
Description

A modern, binary file format from the GROMACS software used to store the results of a molecular simulation. It supports various compression algorithms and can store not only coordinates but also velocities, forces, and other trajectory data. This format is designed for high efficiency and flexibility in storing large simulation datasets. (UNVERIFIED)

Sub Class Of GROMACS trajectory format c

ParmEd c

IRI http://purl.obolibrary.org/obo/MOLSIM_001573
Description

ParmEd is a software package and Python library designed for manipulating and converting molecular topology and parameter files from various simulation packages, with a primary focus on the AMBER force field format. It allows users to programmatically modify force field parameters, change molecular connectivity, and convert between different file formats. For advanced users and developers, ParmEd provides a powerful tool for complex simulation setup, analysis, and force field development tasks. (UNVERIFIED)

Sub Class Of library c

structure clustering analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000937
Description

The most common form of clustering analysis where molecular structures are grouped based on their overall geometric similarity, typically quantified by the root-mean-square deviation (RMSD) of atomic coordinates after optimal superposition. Structures with low pairwise RMSD values are grouped into the same cluster. This method effectively identifies the dominant overall conformations visited during a simulation. (UNVERIFIED)

Sub Class Of clustering analysis c
Super Class Of structure clustering with dihedral binning c

plot data format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000590
Description

A category for file formats designed to store numerical data in a specific structure that is easily parsed and read by graphing or plotting software (e.g., Grace, Gnuplot). These are structured data files (typically containing columns of numbers and plotting directives), not raster or vector image files like PNG, JPEG, or SVG. (UNVERIFIED)

Sub Class Of data format c
Super Class Of

analysis method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000026
Description

An analysis method is an approach or procedure used to process, interpret, and extract meaningful information from the data generated by biomolecular simulations. These methods allow researchers to understand the behavior, properties, and interactions of molecular systems over time or in different states. They range from simple geometric measurements to complex statistical or quantum mechanical analyses. (UNVERIFIED)

Sub Class Of computational method c
Super Class Of

amber ff02 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000741
Description

A specific protein force field parameter set from the AMBER family, representing one of the earlier polarizable force fields. Unlike fixed-charge force fields (like ff99SB), ff02 includes electronic polarizability explicitly, aiming for a more accurate description of electrostatics but at a higher computational cost. Its adoption was less widespread than fixed-charge counterparts. (UNVERIFIED)

Sub Class Of protein force field c

velocity assignment analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000665
Description

A velocity assignment method is the procedure used to give atoms their initial speeds and directions at the beginning of a molecular dynamics simulation. These velocities are typically chosen from a random distribution, such as the Maxwell-Boltzmann distribution, that corresponds to the desired starting temperature of the system. For experts, this step is crucial for initiating the thermal motion of the system before the equilibration phase. (UNVERIFIED)

Sub Class Of system setup modeling c

mmcif format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000445
Description

The mmCIF format (.cif or .mmcif) is the standard archival format for macromolecular structures used by the Protein Data Bank (PDB), superseding the legacy PDB format. It uses a flexible, dictionary-based syntax (CIF) with key-value pairs and loop structures to store atomic coordinates, connectivity, experimental details, and extensive metadata. It is better suited for handling large, complex structures and diverse experimental data. (UNVERIFIED)

Sub Class Of molecular structure format c

cc-pV9Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000528
Description

The cc-pV9Z (correlation-consistent polarized Valence Nonuple-Zeta) basis set represents one of the largest developed sets in the correlation-consistent hierarchy, providing nine functions per valence orbital and extremely high angular momentum polarization functions. Like cc-pV8Z, it serves research purposes for precise extrapolation to the complete basis set limit on the smallest systems. It is computationally prohibitive for nearly all molecular applications. (UNVERIFIED)

Sub Class Of split-valence c

agr format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000591
Description

A text-based data file format for the Grace/Xmgrace plotting program. It contains numerical data along with commands that specify the appearance of the graph, such as titles, labels, and colors. This format allows for the creation of complex, publication-quality plots. (UNVERIFIED)

Sub Class Of plot data format c

EMIL input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001102
Description

The EMIL input format is a specific file that contains the control data and parameters for running a calculation with the EMIL (Energy and Motion from an Implicit Liquid) program. It specifies the settings required by the EMIL method to calculate free energy profiles and analyze molecular motions. This input file is the primary way a user provides instructions to the EMIL software. (UNVERIFIED)

Sub Class Of simulation parameter format c

quaternion RMSD algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001718
Description

The quaternion RMSD algorithm is a highly efficient and numerically stable algorithm used to perform the structural superposition step required for an RMSD calculation. It uses a four-dimensional mathematical representation called quaternions to find the optimal rotation that aligns two molecules. For experts, this method is the standard, preferred algorithm in most simulation analysis packages because it avoids the mathematical singularities that can occur with other rotation methods. (UNVERIFIED)

Sub Class Of RMSD calculation algorithm c

iterative polarizable charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001438
Description

An iterative polarizable charge model is an advanced charge model where the atomic charges are not fixed but can change in response to the local electric field. This is achieved through an iterative process where charges are updated until they are self-consistent with the field they create. For experts, this approach is part of a polarizable force field and provides a more physically realistic description of electrostatic interactions than fixed-charge models. (UNVERIFIED)

Sub Class Of ligand charge model c

amber ff03ua c

IRI http://purl.obolibrary.org/obo/MOLSIM_001443
Description

This is a simplified version of the amber ff03 force field where some hydrogen atoms are computationally merged with their neighboring carbon atoms. The AMBER ff03ua is a united-atom variant of the ff03 force field, where non-polar hydrogen atoms are not explicitly represented but are incorporated into the heavy atoms they are attached to. This model is useful for studying large-scale protein dynamics or for simulations where the highest atomistic detail is not required and computational speed is a priority. (UNVERIFIED)

Sub Class Of protein force field c

validation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000353
Description

A method used to check whether the results or models generated by biomolecular simulations are accurate, physically realistic, and reliable. These techniques assess the quality of simulation outputs by comparing them against known experimental data or established theoretical principles. Their goal is to ensure the simulation provides a meaningful representation of the molecular system being studied (UNVERIFIED).

Sub Class Of statistical analysis c
Super Class Of

integrator type c

IRI http://purl.obolibrary.org/obo/MOLSIM_002029
Description

A configuration parameter that specifies the numerical algorithm used to propagate the system's coordinates and velocities through time. It determines whether the simulation performs energy minimization (e.g., steepest descent), classical dynamics (e.g., leap-frog, velocity Verlet), or stochastic dynamics (e.g., Langevin). For experts, this setting (e.g., integrator in GROMACS, imin in AMBER) fundamentally defines the physics engine and the ensemble generated by the simulation executable. (UNVERIFIED)

Sub Class Of integration parameter c

Antechamber c

IRI http://purl.obolibrary.org/obo/MOLSIM_000258
Description

A specific program, typically distributed as part of the AmberTools suite, designed to automatically assign atom types and calculate partial atomic charges for organic molecules, preparing them for use with molecular mechanics force fields like GAFF (General AMBER Force Field). Antechamber reads common molecular file formats and generates topology and parameter files needed for subsequent energy minimization or molecular dynamics simulations using programs like SANDER or PMEMD from the AMBER package. It is a crucial tool for preparing non-standard residues or ligands for simulation. (UNVERIFIED)

Sub Class Of topology and parameterization tool c

calcpka c

IRI http://purl.obolibrary.org/obo/MOLSIM_001657
Description

A computational tool used to predict the acidity constant, or pKa, of ionizable groups in a protein or other molecule. It takes a 3D structure as input and uses a model, often based on continuum electrostatics, to calculate how the local chemical environment shifts the pKa of each titratable residue. This is a critical preparation step for any simulation, as it allows for the assignment of the correct protonation states for all residues at a given experimental pH. (UNVERIFIED)

Sub Class Of titration analysis tool c

adaptive thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000381
Description

An adaptive thermostat is a type of temperature control algorithm that can adjust its behavior during the course of a simulation. This allows it to respond more effectively to changes in the system, such as a protein undergoing a large conformational change. For experts, these thermostats often modify their coupling strength or other parameters on-the-fly to provide more stable and efficient temperature control compared to static methods. (UNVERIFIED)

Sub Class Of thermostat algorithm c

STO-6G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000464
Description

STO-6G basis sets are minimal basis sets where each Slater-Type Orbital (STO), which closely resembles atomic orbitals, is approximated by a fixed contraction of 6 Gaussian-Type Orbitals (GTOs). Using GTOs significantly speeds up the calculation of electron repulsion integrals compared to using STOs directly. (UNVERIFIED)

Sub Class Of minimal c

XMIN minimization algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000409
Description

XMIN is a family of energy minimization algorithms used to find the stable, low-energy structure of a molecule. It is a quasi-Newton method that efficiently moves the atoms "downhill" on the potential energy surface to find a local minimum. This algorithm is a robust choice for geometry optimization, particularly in quantum chemistry calculations where it can converge quickly to a stable conformation. (UNVERIFIED)

Sub Class Of energy minimization algorithm c

Polak-Ribiere conjugate gradient algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001737
Description

The Polak-Ribiere conjugate gradient algorithm is a specific and popular variant of the conjugate gradient method for non-linear optimization. It differs from other variants in the precise formula used to calculate the new search direction based on the current and previous gradients. For experts, the Polak-Ribiere formulation is known to have good performance in many cases and is a common choice implemented in simulation and quantum chemistry software. (UNVERIFIED)

Sub Class Of conjugate gradient algorithm c

OpenCalphad c

IRI http://purl.obolibrary.org/obo/MOLSIM_000284
Description

OpenCalphad (OC) is an open-source software library primarily used for thermodynamic calculations based on the CALPHAD (CALculation of PHAse Diagrams) method, which is extensively used in materials science and metallurgy for modeling phase equilibria and thermodynamic properties of multi-component systems based on Gibbs energy models. While it deals with thermodynamics and free energy, its methods and application domain (materials, alloys) are generally distinct from the statistical mechanics-based free energy calculations (FEP, TI) typically performed for biomolecules in solution using MD simulations. (UNVERIFIED)

Sub Class Of thermodynamic integration similarity calculation tool c

self-consistent-charge density-functional based tight-binding c

IRI http://purl.obolibrary.org/obo/MOLSIM_000621
Description

Self-Consistent-Charge Density-Functional based Tight-Binding (SCC-DFTB) is a refinement of the basic DFTB method. It adds a self-consistent treatment of the charge distribution, allowing the charges on the atoms to fluctuate and respond to their chemical environment. For experts, this SCC step provides a more accurate description of electrostatic interactions and charge transfer compared to the non-self-consistent DFTB method. (UNVERIFIED)

Sub Class Of density-functional based tight-binding c
Super Class Of third-order self-consistent-charge density-functional based tight-binding c

mesoscopic c

IRI http://purl.obolibrary.org/obo/MOLSIM_001916
Description

Mesoscopic is a very low-resolution simulation model that bridges the gap between the atomic scale and the macroscopic continuum. In these models, very large components, such as entire proteins or large segments of a polymer, are represented as single interacting particles. For experts, mesoscopic models are used to study the collective behavior of very large biological assemblies or materials over long time and length scales. (UNVERIFIED)

Sub Class Of simulation model resolution c

nonequilibrium work c

IRI http://purl.obolibrary.org/obo/MOLSIM_001332
Description

A type of thermodynamic property representing the work performed on a system during a process where the system is not in equilibrium. This is typically calculated in steered MD simulations by integrating the applied force along a reaction coordinate. The distribution of nonequilibrium work values can be used with fluctuation theorems to calculate equilibrium free energy differences. This value is a primary output of steered MD and related methods. (UNVERIFIED)

Sub Class Of thermodynamic property c

statistical analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000400
Description

Statistical methods are techniques grounded in mathematical probability theory used for collecting, analyzing, interpreting, presenting, and drawing conclusions from data. In biomolecular simulation, they are essential for processing simulation outputs, assessing uncertainty, testing hypotheses, and validating models against experimental observations. These methods help extract meaningful signals from inherently noisy or complex simulation data. (UNVERIFIED)

Sub Class Of numerical analysis c
Super Class Of

Miniconda c

IRI http://purl.obolibrary.org/obo/MOLSIM_001589
Description

Miniconda is a minimal, bootstrap installer for the Conda package manager, which is widely used in the scientific computing community. It includes only the Conda package manager and Python, allowing users to create customized software environments by installing only the packages they need. For researchers, Miniconda provides a lightweight way to set up isolated and reproducible environments for their simulation and analysis software. (UNVERIFIED)

Sub Class Of package manager c

electric charge c

IRI http://purl.obolibrary.org/obo/UO_0000219
Description

A unit which is a standard measure of the quantity of unbalanced electricity in a body (either positive or negative) and construed as an excess or deficiency of electrons.

Sub Class Of unit c
Super Class Of elementary charge c

system setup modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000328
Description

A system setup method is a procedure used to prepare a molecular system for a simulation. This involves all the steps required to build a complete and chemically correct model, such as adding solvent molecules, placing ions, and ensuring the correct atom ordering. For experts, these methods are critical for creating a valid starting point that accurately reflects the intended experimental conditions of the simulation. (UNVERIFIED)

Sub Class Of modeling method c
Super Class Of

dual-boost peptide Gaussian accelerated molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000401
Description

Dual-boost peptide Gaussian accelerated molecular dynamics is a variant of GaMD where two separate boost potentials are applied to enhance peptide sampling. One boost is typically applied to the peptide's dihedral angles to accelerate local conformational changes, while the second is applied to the total system potential to overcome larger energy barriers. For experts, this dual-boost strategy provides a more powerful and efficient way to explore the complex free energy landscape of flexible peptides. (UNVERIFIED)

Sub Class Of peptide Gaussian accelerated molecular dynamics c

structural and chemical diversity c

IRI http://purl.obolibrary.org/obo/MOLSIM_000147
Description

While similarity is often desired for calculation accuracy, ensuring some structural and chemical diversity across the entire set of selected ligands is important for broadly exploring the structure-activity relationship. This criterion aims to cover different chemical scaffolds and interaction patterns within the ligand set being studied. It represents a balance against focusing only on highly similar pairs. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

Wang-Landau algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_002054
Description

An enhanced sampling algorithm designed to calculate the density of states of a system by performing a random walk that is penalized by a continuously updated biasing potential. It aims to achieve a flat histogram of visited states, ensuring the system evenly explores all energy levels and overcomes high energy barriers. (UNVERIFIED)

Sub Class Of enhanced sampling algorithm c

limited-memory BFGS algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001738
Description

The limited-memory BFGS (L-BFGS) algorithm is a variant of the BFGS optimization algorithm that is specifically designed for problems with a very large number of variables. It avoids storing the full, dense approximation of the inverse Hessian matrix by instead storing only a few vectors that implicitly represent the approximation. For experts, L-BFGS is the method of choice for energy minimization of extremely large molecular systems where storing the full Hessian is impossible. (UNVERIFIED)

Sub Class Of Broyden-Fletcher-Goldfarb-Shanno algorithm c

simulation input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000437
Description

A data format that provides the necessary data, settings, or instructions required to initiate a computational task. This format provides the instructional input for simulation or analysis software. It is distinct from formats that describe molecular structure or results. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

CASSCF c

IRI http://purl.obolibrary.org/obo/MOLSIM_000833
Description

Complete Active Space Self-Consistent Field, a specific and widely used type of multi-reference method (falling under the MC-SCF umbrella). It involves selecting a subset of electrons and orbitals deemed most important for the problem (the active space) and then performing a full configuration interaction calculation within that space while simultaneously optimizing the orbitals. CASSCF provides a qualitatively correct description of complex electronic structures but often needs further corrections for quantitative accuracy (UNVERIFIED).

Sub Class Of multi-reference c

residuegen c

IRI http://purl.obolibrary.org/obo/MOLSIM_001617
Description

The residuegen program is a utility in the AmberTools suite that helps to create a complete residue template for a new molecule. It takes a file defining the molecule's atoms and bonds and generates a residue library file that can be used by the LEaP program to build larger systems. This tool is part of the automated workflow for incorporating a novel molecule into the AMBER force field ecosystem. (UNVERIFIED)

Sub Class Of residue template tool c

trajectory frame filtering c

IRI http://purl.obolibrary.org/obo/MOLSIM_000672
Description

Trajectory frame filtering is a data processing step where a simulation trajectory is selectively reduced in size by removing certain frames based on a specific criterion. This could involve discarding an initial equilibration period or keeping only those frames where a molecule adopts a particular shape. This filtering is a common procedure used to focus an analysis on a specific time period or a subset of conformations that are most relevant to the scientific question. (UNVERIFIED)

Sub Class Of dynamics analysis c

FE-ToolKit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001661
Description

The FE-ToolKit is a software library or collection of tools designed to facilitate the setup, execution, and analysis of free energy calculations. It likely provides functions and scripts to automate complex workflows, such as alchemical transformations or umbrella sampling analysis. For researchers, such a toolkit aims to simplify the technically demanding process of calculating binding free energies or potentials of mean force. (UNVERIFIED)

Sub Class Of library c

OPLS-AA c

IRI http://purl.obolibrary.org/obo/MOLSIM_000759
Description

The All-Atom version of the OPLS force field family. It explicitly represents all atoms, including hydrogens, aiming for higher accuracy and detail compared to united-atom versions. OPLS-AA parameters exist for proteins, nucleic acids, lipids, and many organic molecules. (UNVERIFIED)

Sub Class Of protein force field c
Super Class Of

xmgrace c

IRI http://purl.obolibrary.org/obo/MOLSIM_001067
Description

Xmgrace is a computer program used to make scientific graphs and plots from data. As a type of visualization tool, Xmgrace is a 2D plotting program for X Window Systems, widely used in the scientific community for creating publication-quality graphs from simple column-based text data. Many simulation analysis tools, like GROMACS and cpptraj, can directly generate output files in the native .agr format for easy plotting of time-series data like RMSD or energy. This tool is associated with file formats like .agr and commands in analysis scripts such as xmgrace -nxy plot.dat. (UNVERIFIED)

Sub Class Of data plotting tool c

adaptive biasing force algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_002053
Description

An enhanced sampling algorithm that continuously computes the average thermodynamic force acting along a chosen collective variable and dynamically applies an equal and opposite biasing force. This effectively flattens the local free energy landscape, allowing the system to freely diffuse across energy barriers. (UNVERIFIED)

Sub Class Of enhanced sampling algorithm c

forward flux simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000848
Description

Forward Flux Sampling (FFS) is an enhanced sampling technique specifically designed to calculate rate constants and characterize pathways for rare events, such as transitions between stable molecular states. It involves defining a series of non-overlapping interfaces along a reaction coordinate between the initial and final states. Trajectories are initiated from these interfaces and only propagated forward if they reach the next interface, efficiently focusing computational effort on successful transition paths. (UNVERIFIED)

Sub Class Of enhanced sampling c

RESP permanent virtual site charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001548
Description

This is a method for calculating atomic charges that adds extra, invisible charge points around atoms to better represent a molecule's electrical properties. A RESP permanent virtual site charge model is a charge fitting scheme where, in addition to charges on atomic centers, charges are placed at off-atom positions called virtual sites. This approach allows a fixed-charge force field to capture some of the anisotropic nature of electrostatic interactions, improving the description of phenomena like hydrogen bonding. (UNVERIFIED)

Sub Class Of ligand charge model c

bioactivity database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000707
Description

A secondary (or sometimes primary) database that collects and organizes experimental data on the biological activity of chemical compounds, particularly their interactions with protein targets (e.g., binding affinity, inhibition constants). These are crucial for drug discovery and chemical biology research. ChEMBL and BindingDB are key examples. (UNVERIFIED)

Sub Class Of secondary database c

diffusion calculation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000949
Description

Diffusion calculation refers to the specific computational procedure used to determine a diffusion coefficient from molecular dynamics simulation data. The most common method involves calculating the mean squared displacement (MSD) of the particles as a function of time and determining the diffusion coefficient from the slope of the MSD curve in the long-time limit using the Einstein relation. Alternatively, the Green-Kubo relations can be used by integrating the velocity autocorrelation function. (UNVERIFIED)

Sub Class Of diffusion analysis c

QM energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001308
Description

A component of the system's energy that is calculated for a specific region of the molecule using the principles of quantum mechanics. This term is only present in QM/MM simulations, where it represents the energy of the quantum mechanical region. The QM energy is the primary energy term for the part of the system where chemical reactions or complex electronic effects are being studied. It is often reported in the output as QM Energy or E_qm. (UNVERIFIED)

Sub Class Of energy c
Super Class Of SCF energy c

solvent total correlation format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001109
Description

This file format stores a 3D data grid that describes the total structural correlation between a central solute and the surrounding solvent. This function, known as h(r), represents the total deviation from a random solvent distribution caused by the solute's presence, including both direct and indirect effects. It is directly related to the pair distribution function (h(r) = g(r) - 1) and is a fundamental quantity in liquid-state theories used to calculate solvation properties. (UNVERIFIED)

Sub Class Of solvent analysis format c

mean solvation force c

IRI http://purl.obolibrary.org/obo/MOLSIM_001796
Description

The mean solvation force is the average force that solvent molecules, like water, exert on a central molecule as it moves along a specific path. This force is a key component in methods that calculate the free energy profile of a process, such as pulling a drug out of its binding pocket. The integral of this mean force along the path provides the potential of mean force (PMF), which describes the free energy landscape of the process. (UNVERIFIED)

Sub Class Of kinetic property c

GROMACS c

IRI http://purl.obolibrary.org/obo/MOLSIM_000247
Description

A highly popular, versatile, and extremely fast open-source software package primarily designed for classical molecular dynamics simulations of biomolecules like proteins, lipids, and nucleic acids. Known for its computational efficiency, particularly on parallel architectures (CPUs and GPUs), GROMACS supports various force fields (including AMBER, CHARMM, OPLS, GROMOS families via ports), simulation protocols, enhanced sampling methods, and includes extensive tools for trajectory analysis. It is widely used in the academic and industrial research community. (UNVERIFIED)

Sub Class Of software suite c

molecular mechanics generalized Born surface area analysi c

IRI http://purl.obolibrary.org/obo/MOLSIM_000263
Description

MM/GBSA is an endpoint binding free energy estimation method closely related to MM/PBSA, differing primarily in how the polar solvation free energy is calculated. Instead of the computationally more intensive Poisson-Boltzmann equation, MM/GBSA uses the faster Generalized Born (GB) implicit solvent model to estimate the electrostatic contribution to solvation. Like MM/PBSA, it combines MM energies, GB polar solvation energy, and surface-area based nonpolar energy using simulation snapshots. (UNVERIFIED)

Sub Class Of endpoint free energy analysis c

parallel beta sheet c

IRI http://purl.obolibrary.org/obo/MOLSIM_001783
Description

A parallel beta sheet is a type of beta sheet where the adjacent protein chains all run in the same direction, like lanes on a one-way highway. In this arrangement, the neighboring beta-strands are all aligned in the same N-terminus to C-terminus direction, which results in a pattern of angled, evenly spaced hydrogen bonds between the strands. This arrangement is typically found buried in the core of a protein and often requires long loop connections between the strands. (UNVERIFIED)

Sub Class Of beta sheet c

lipid14 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000019
Description

A specific lipid force field parameter set developed for the AMBER simulation package, released around 2014. It provides parameters optimized for simulating a range of common lipid types found in biological membranes. This version aimed to improve upon previous lipid models within the AMBER family. (UNVERIFIED)

Sub Class Of lipid force field c

neural networks c

IRI http://purl.obolibrary.org/obo/MOLSIM_000855
Description

Neural networks, a type of machine learning model, are increasingly used as tools within enhanced sampling methods. They can be employed to automatically identify complex collective variables capturing slow dynamics, represent highly flexible biasing potentials for methods like metadynamics, or directly learn and reconstruct free energy surfaces from simulation data. Their ability to model complex, non-linear relationships makes them powerful for tackling challenging sampling problems. (UNVERIFIED)

Sub Class Of enhanced sampling c

MRCC c

IRI http://purl.obolibrary.org/obo/MOLSIM_001593
Description

MRCC is a specialized quantum chemistry program focused on performing very high-accuracy electronic structure calculations. Its name stands for Multi-Reference Coupled Cluster, and it implements a suite of advanced and computationally demanding methods that are considered the "gold standard" for accuracy in quantum chemistry. This program is primarily used by experts for benchmark calculations on small to medium-sized molecules to obtain highly precise energies and molecular properties. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

aug-cc-pV(6+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000565
Description

The aug-cc-pV(6+d)Z basis set represents one of the largest available combinations, adding diffuse functions ('aug-') and the extra d-function ('+d') to the sextuple-zeta correlation-consistent basis, primarily targeting second-row elements (Na-Ar). Its use is confined to extreme benchmark calculations on very small systems containing these elements where both diffuse character and utmost accuracy are paramount. (UNVERIFIED)

Sub Class Of split-valence c

salt bridge c

IRI http://purl.obolibrary.org/obo/MOLSIM_002009
Description

A salt bridge is a strong non-covalent interaction formed between a positively charged amino acid side chain and a negatively charged one. It combines two physical forces: an electrostatic attraction between the opposing charges and a hydrogen bond between specific atoms in the residues. For experts, these interactions (typically between Arg/Lys and Asp/Glu) contribute significantly to protein thermostability but have a complex energetic dependence on the local dielectric environment and pH. (UNVERIFIED)

Sub Class Of electrostatic interactions c

torch PBSA runtime c

IRI http://purl.obolibrary.org/obo/MOLSIM_001582
Description

The torch PBSA runtime is a software library that leverages the PyTorch deep learning framework to perform Poisson-Boltzmann Surface Area (PBSA) calculations. By using PyTorch, it can take advantage of GPU acceleration to significantly speed up the computationally intensive process of solving the Poisson-Boltzmann equation. For researchers, this library offers a high-performance tool for estimating solvation free energies as part of binding free energy calculations. (UNVERIFIED)

Sub Class Of library c

numerical integration algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001694
Description

A numerical integration algorithm is a computational method used to find the approximate value of a definite integral, which represents the area under a curve. These algorithms are used when an exact analytical solution to the integral is not possible. In simulation, these methods are used for tasks like calculating the total free energy change in thermodynamic integration or for evaluating certain terms in quantum chemistry calculations. (UNVERIFIED)

Sub Class Of algorithm c
Super Class Of

LAMMPS c

IRI http://purl.obolibrary.org/obo/MOLSIM_000784
Description

A highly versatile, open-source classical molecular dynamics simulator developed at Sandia National Laboratories, designed for parallel computing (Large-scale Atomic/Molecular Massively Parallel Simulator). LAMMPS has a very broad application range, extending from biomolecules (using standard force fields like CHARMM, AMBER, OPLS) to materials science, solid-state physics, and coarse-grained simulations, due to its extensive library of potentials and simulation methods. Its flexibility makes it suitable for non-standard simulation setups. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

motion analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000944
Description

Motion analysis encompasses techniques used to characterize the types, directions, and magnitudes of movements occurring within a molecular system during a simulation. These methods aim to simplify the complex, high-dimensional atomic motions into understandable patterns or dominant modes. This helps identify functionally relevant conformational changes, flexibility, and collective dynamics. (UNVERIFIED)

Sub Class Of dynamics analysis c
Super Class Of

NWChem input format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000877
Description

An NWChem input file (.nw) uses directives and nested blocks to instruct the NWChem software package on performing computational chemistry tasks. It specifies the molecular geometry, basis sets, theoretical methods (ranging from quantum mechanics like DFT or MP2 to molecular mechanics), and the desired task (e.g., TASK SCF, TASK MD). The flexible block structure allows for setting up complex, multi-step calculations. (UNVERIFIED)

Sub Class Of simulation input format c

solvation c

IRI http://purl.obolibrary.org/obo/MOLSIM_002010
Description

Solvation is the computational process of immersing a solute molecule, such as a protein, into a box containing solvent molecules, typically water. This step involves placing the solute coordinates into a pre-equilibrated solvent box, removing solvent molecules that overlap with the solute atoms, and updating the system topology. For experts, this process defines the simulation box dimensions, density, and total number of atoms, which are critical for the efficiency and validity of periodic boundary condition simulations. (UNVERIFIED)

Sub Class Of preparation c

root mean square fluctuation (RMSF) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001335
Description

A type of structural property that measures the fluctuation of each individual atom around its average position over the course of a simulation. It is used to identify flexible or mobile regions within a molecule, such as loops or termini in a protein. Analysis outputs often report the per-residue RMSF or atomicfluct to highlight these regions. This value is commonly referred to as rmsf in analysis scripts. (UNVERIFIED)

Sub Class Of structural property c

CHARMM 27 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000753
Description

An all-atom force field parameter set from the CHARMM family, representing an update and extension of CHARMM22, released around 2000-2001. It included refined parameters for proteins and also incorporated compatible parameters for nucleic acids (DNA, RNA). Like CHARMM22, it was often used with the CMAP correction for proteins. (UNVERIFIED)

Sub Class Of protein force field c

bootstrap analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000116
Description

Bootstrapping is a specific resampling technique used to estimate the sampling distribution of a statistic by repeatedly drawing samples with replacement from the original observed dataset, where each drawn sample has the same size as the original dataset. The statistic of interest (e.g., mean, standard deviation, correlation coefficient) is calculated for each bootstrap sample. The distribution of these calculated statistics is then used to estimate properties like standard errors or confidence intervals for the original statistic. (UNVERIFIED)

Sub Class Of resampling method c

electronic structure analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000673
Description

A type of analysis method focused on examining the electronic properties of a molecule derived from its quantum mechanical description, such as the wavefunction or electron density. This includes analyzing the distribution of electrons (charge, spin density), the nature of molecular orbitals, chemical bonding characteristics, and electronic response properties like polarizability. It provides fundamental insights into chemical reactivity, spectroscopy, and intermolecular forces. (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of

ncrst format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001051
Description
  • A NetCDF-based restart file for Amber simulations.

  • A binary file format from the Amber software that saves the complete state of a simulation. It is a NetCDF-based version of the Amber restart file, storing coordinates, velocities, and box vectors with high precision. This is the modern, preferred format for restarting Amber simulations. (UNVERIFIED)

Sub Class Of AMBER restart format c

script format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000438
Description

A data format for a file containing a sequence of commands or code in a specific language. These scripts are designed to be executed by a program to automate a workflow or a series of analysis steps. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

enhanced sampling parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001219
Description

A type of simulation parameter that controls the application of a specific enhanced sampling method designed to accelerate the exploration of the system's conformational space. These parameters define the nature and strength of the biasing potential or other modifications to the standard simulation protocol. The enhanced sampling parameter settings are crucial for studying rare events like protein folding or ligand unbinding. These are often set in a special section of the input file. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

MCPB.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001610
Description

MCPB.py is a sophisticated Python tool in the AmberTools suite designed to help users generate force field parameters for the complex metal centers found in metalloproteins. It provides a workflow that uses quantum mechanical calculations to derive the bond, angle, and charge parameters for a metal ion and its coordinating amino acid residues. This tool is essential for accurately modeling the geometry and interactions of metal-containing active sites in biological systems. (UNVERIFIED)

Sub Class Of parameter fitting tool c

NAB c

IRI http://purl.obolibrary.org/obo/MOLSIM_001660
Description

NAB, or Nucleic Acid Builder, is a specialized programming language distributed with the AmberTools software suite. It is designed specifically for the purpose of constructing and manipulating three-dimensional models of nucleic acids and proteins. For experts, NAB provides a powerful and scriptable way to build complex or non-standard biomolecular structures that would be difficult to create with standard graphical tools. (UNVERIFIED)

Sub Class Of programming language c

simulation data repository c

IRI http://purl.obolibrary.org/obo/MOLSIM_000710
Description

A repository specifically designed to store, share, and allow re-analysis of data generated from biomolecular simulations, such as molecular dynamics trajectories, input files, and analysis results. These resources promote reproducibility and enable new discoveries from existing simulation data. MDDBR and BioSimDB are examples. (UNVERIFIED)

Sub Class Of repository database c

gjf format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000870
Description

A Gaussian input file, often with a .com or .gjf extension, instructs the Gaussian quantum chemistry software. It characteristically includes a 'route section' (starting with #) containing keywords that define the theoretical method, basis set, and calculation type (e.g., optimization, frequency), followed by a title section, charge and spin multiplicity, and the molecular geometry. The structure is highly standardized within the Gaussian ecosystem. (UNVERIFIED)

Sub Class Of simulation input format c

flooding potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_002006
Description

A computational technique used to force a protein out of its stable resting shape so it can explore new structures. It works by adding a localized repulsive energy hill, based on the system's principal components, to the energy minimum the molecule currently occupies. For experts, this "flooding" destabilizes the local minimum without affecting high-energy barriers, effectively lowering the transition energy required to access adjacent basins on the free energy landscape. (UNVERIFIED)

Sub Class Of restraint potential c

SHAKE tolerance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001205
Description

A constraint parameter that specifies the geometric tolerance for the iterative SHAKE algorithm. A smaller SHAKE tolerance results in a more accurate enforcement of the constraints but may require more computational iterations. This is a key parameter for tuning the accuracy and performance of the SHAKE algorithm. This is often set with the keyword tol. (UNVERIFIED)

Sub Class Of constraint parameter c

mbondi2 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000275
Description

A specific version ('version 2') of modified Bondi radii, developed primarily for use within the AMBER simulation package, particularly in conjunction with specific Generalized Born (GB) implicit solvent models (like GB models with igb=2 or igb=5 in AMBER). These radii have been empirically optimized by adjusting values (especially for hydrogens, C, N, O, S, P) relative to the original Bondi set or earlier mbondi sets to yield improved accuracy in reproducing experimental solvation free energies of small molecules and potentially biomolecular energetics when using those particular GBSA methods. They represent a parameter set tuned for a specific computational model. (UNVERIFIED)

Sub Class Of radii set c

adaptive steered molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000213
Description

An enhanced sampling simulation technique used to explore large conformational changes or dissociation pathways, often related to free energy calculations. It involves applying an external steering force to pull the system along a reaction coordinate, but unlike standard Steered MD, the pulling velocity or force application is adapted 'on-the-fly' based on the system's response, aiming for improved efficiency or convergence, particularly in exploring transition pathways. It is a specialized execution method for studying specific molecular events. (UNVERIFIED)

Sub Class Of execution c

aug-pc-4 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000574
Description

The aug-pc-4 basis set augments the polarization consistent basis set pc-4 with diffuse functions ('aug-'). The pc-4 level generally corresponds to polarized quintuple-zeta (5ZP) quality, representing a very large basis set in the pc-n family. Aug-pc-4 is thus a benchmark-quality basis set including diffuse functions, intended for highly accurate calculations on small systems where properties sensitive to diffuse electrons are needed near the basis set limit. (UNVERIFIED)

Sub Class Of split-valence c

3-21G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000486
Description

The 3-21G basis set is a Pople-style split-valence basis where core atomic orbitals are represented by a contracted sum of 3 Gaussian functions. Each valence atomic orbital is represented by two basis functions: an inner, contracted function composed of 2 Gaussians, and an outer, single Gaussian function. It offers improved accuracy over minimal basis sets at low computational cost but lacks polarization functions. (UNVERIFIED)

Sub Class Of split-valence c

difference-based adaptive solvation QM/MM c

IRI http://purl.obolibrary.org/obo/MOLSIM_000631
Description

This is an advanced QM/MM simulation method that adaptively and efficiently models the solvent molecules surrounding a quantum mechanical (QM) reaction center. It calculates the interaction of the QM region with nearby solvent molecules explicitly, while the effect of more distant solvent is approximated based on energy differences calculated for a reference system. This approach provides a computationally efficient way to include the important effects of the first solvation shell in a QM/MM calculation without the cost of a fully adaptive QM region. (UNVERIFIED)

Sub Class Of adaptive solvent QM/MM c

pocket analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001860
Description

Pocket analysis is a structural analysis method used to identify, characterize, and track the properties of cavities or "pockets" on the surface of a protein. This analysis can calculate the volume, surface area, and physicochemical properties of these pockets over the course of a simulation. For drug discovery researchers, this method is essential for identifying potential ligand binding sites and understanding how their shape and size change over time. (UNVERIFIED)

Sub Class Of structural analysis c
Super Class Of ligand cavity analysis c

programming language c

IRI http://purl.obolibrary.org/obo/MOLSIM_001659
Description

A programming language is a formal system of instructions and syntax rules used to write the code that creates computer programs. It provides the vocabulary and grammar for humans to communicate tasks for a computer to execute. For the biomolecular simulation field, languages like Fortran and C++ are used to write high-performance simulation engines, while languages like Python are used for scripting analysis and workflow automation. (UNVERIFIED)

Sub Class Of software c
Super Class Of

MoFT c

IRI http://purl.obolibrary.org/obo/MOLSIM_001665
Description

MoFT, the Molecular Force Field Toolkit, is a software suite designed to assist in the development, parameterization, and validation of molecular mechanics force fields. It provides a collection of tools to automate the process of deriving and testing new parameters against experimental or quantum mechanical data. For force field developers, MoFT streamlines the complex and labor-intensive workflow required to create accurate and robust molecular models. (UNVERIFIED)

Sub Class Of software suite c

MPI library c

IRI http://purl.obolibrary.org/obo/MOLSIM_001654
Description

An MPI library is a software library that implements the Message Passing Interface (MPI) standard for parallel programming. It provides functions that allow multiple independent processes, typically running on different computers in a cluster, to communicate and exchange data with each other. For high-performance biomolecular simulations, an MPI library is essential for parallelizing the calculations and distributing the workload across many processors to simulate large systems efficiently. (UNVERIFIED)

Sub Class Of library c
Super Class Of MVAPICH2-GDR c

LS-align c

IRI http://purl.obolibrary.org/obo/MOLSIM_001966
Description

LS-align is a computational tool designed for the flexible structural alignment of small molecule ligands. It employs a heuristic iterative search algorithm to optimize the superposition of atoms based on both their spatial proximity and chemical mass. For cheminformatics, this tool is valuable for virtual screening and pharmacophore discovery by identifying molecules that share a similar 3D shape and chemical features despite having different bonding topologies. (UNVERIFIED)

Sub Class Of match analysis tool c

RNA force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000011
Description

A force field specifically developed and parameterized for simulating Ribonucleic Acid (RNA) molecules. It aims to accurately capture the complex conformational landscape and catalytic potential of RNA, which differs significantly from DNA due to the 2'-hydroxyl group and different structural motifs. Development often focuses on improving descriptions of sugar pucker, backbone torsions (especially the epsilon and zeta angles), and non-canonical base interactions. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of amber OL3 c

replica-exchange with arbitrary degree of freedom c

IRI http://purl.obolibrary.org/obo/MOLSIM_000414
Description

Replica-exchange with an arbitrary degree of freedom is a powerful generalization of the standard replica-exchange simulation method. Instead of running parallel simulations at different temperatures, this technique allows them to be run along any user-defined variable, such as a reaction coordinate, a force field parameter, or a pH value. By attempting to swap these variables between replicas, the method can dramatically enhance sampling and map out a system's response to a wide range of conditions in a single set of simulations. (UNVERIFIED)

Sub Class Of enhanced sampling c

Van der Waals interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000064
Description

A short-range non-covalent interaction between atoms or molecules arising from temporary fluctuations in electron distribution causing transient dipoles (London dispersion forces) and interactions involving permanent or induced multipoles, counteracted by strong short-range repulsion due to overlapping electron clouds (Pauli exclusion principle). Commonly modeled using potentials like the Lennard-Jones 6-12 potential. These interactions determine molecular size, shape, packing efficiency, and contribute to binding affinity. (UNVERIFIED)

Sub Class Of non-covalent interaction c
Super Class Of π-π interactions c

Marsaglia random number generator algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001701
Description

The Marsaglia random number generator refers to a class of pseudo-random number generators known for their high speed and good statistical properties. This class includes well-known algorithms like the "kiss" and "xorshift" generators. For developers of simulation software, these algorithms are an excellent choice for applications requiring a large volume of statistically robust random numbers with low computational overhead. (UNVERIFIED)

Sub Class Of random number generator algorithm c

SYCL c

IRI http://purl.obolibrary.org/obo/MOLSIM_002045
Description

SYCL is a royalty-free, cross-platform C++ abstraction layer that enables code for heterogeneous processors (CPUs, GPUs, FPGAs) to be written in a standard, single-source style. It is used by simulation developers to write performance-portable molecular simulation software that can run across diverse hardware architectures, including Intel GPUs. (UNVERIFIED)

Sub Class Of application programming interface c

CNDO/2 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000808
Description

Complete Neglect of Differential Overlap, version 2, an early all-valence-electron semi-empirical method. It employs severe approximations, ignoring most interactions between electron distributions on different atoms to achieve high computational speed. While largely superseded by more accurate methods, it was foundational in the development of semi-empirical QM (UNVERIFIED).

Sub Class Of NDDO c

convergence analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001849
Description

Convergence analysis is the process of checking whether a simulation has been run for a sufficient amount of time to provide a stable and reliable result. This is typically done by monitoring a key property, such as the system's energy or a structural measurement, to see if its average value stops changing and remains steady over the later parts of the simulation. Performing this analysis is a critical step to ensure that the calculated properties are statistically meaningful and not just an artifact of a short, unrepresentative trajectory. (UNVERIFIED)

Sub Class Of analysis c

thermostat algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000038
Description

An algorithm used in molecular dynamics simulations to control the temperature of the simulated system, ensuring it samples configurations corresponding to a specific target temperature (e.g., for the NVT or NPT ensembles). Thermostats work by adjusting particle velocities or adding/removing kinetic energy in various ways to mimic coupling with an external heat bath. Different thermostat algorithms vary in their theoretical basis, efficiency, and how accurately they reproduce correct statistical mechanics (UNVERIFIED).

Sub Class Of simulation control algorithm c
Super Class Of

ADF c

IRI http://purl.obolibrary.org/obo/MOLSIM_000773
Description

The Amsterdam Density Functional (ADF) software package, a quantum chemistry program specializing in Density Functional Theory (DFT) calculations, particularly for molecules and periodic systems. It is known for its use of Slater-type orbitals (STOs) and robust relativistic methods. While primarily a QM package, it includes modules for QM/MM and can interface with other software, but it's not typically used as a primary classical MD engine for large biomolecules. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

molecular structure format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001088
Description

A type of file format that describes the three-dimensional arrangement of atoms in a molecule. These formats store atomic coordinates and often include information about chemical bonds and residue identity. They are essential for visualizing molecules and providing the starting point for simulations. (UNVERIFIED)

Sub Class Of molecular data format c
Super Class Of

position restraints c

IRI http://purl.obolibrary.org/obo/MOLSIM_001995
Description

A computational technique used to anchor atoms to specific locations in 3D space during a simulation. It applies an artificial harmonic energy penalty proportional to the square of the displacement of an atom from a reference coordinate. For experts, these are heavily used during system equilibration (to relax solvent around a fixed solute) or in free energy calculations to prevent ligand drift, typically defined with a force constant k in units of kJ/(mol⋅nm^2). (UNVERIFIED)

Sub Class Of restraint potential c

all-valence-electron restricted c

IRI http://purl.obolibrary.org/obo/MOLSIM_000804
Description

Describes a type of semi-empirical quantum chemistry method that explicitly considers all valence electrons (the outermost electrons involved in bonding) of the atoms in a molecule. These methods make approximations regarding the interactions between these electrons to speed up calculations, differing in the severity of these approximations (like CNDO, INDO, NDDO schemes). They offer a more comprehensive electronic description than pi-electron methods (UNVERIFIED).

Sub Class Of semi-empirical method c
Super Class Of

dipole moment c

IRI http://purl.obolibrary.org/obo/MOLSIM_001378
Description

A type of electronic property that measures the separation of positive and negative charge centers within a molecule, indicating its overall polarity. It is a vector quantity that determines the strength of the molecule's interaction with an external electric field. The dipole moment is a key output of quantum chemistry calculations used to describe a molecule's electrostatic character. This is often reported as Dipole Moment (Debye) in output files. (UNVERIFIED)

Sub Class Of electronic property c

biconjugate gradient solver algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001689
Description

The biconjugate gradient solver is a specific type of numerical solver algorithm used for solving systems of linear equations. It is an iterative method that is particularly well-suited for large, sparse matrices that are not symmetric. In biomolecular simulation, this solver is frequently employed in the numerical solution of the Poisson-Boltzmann equation for calculating continuum electrostatic energies. (UNVERIFIED)

Sub Class Of numerical solver algorithm c

polarizable water c

IRI http://purl.obolibrary.org/obo/MOLSIM_001985
Description

A computer model of water that allows the electric charge distribution within each molecule to shift in response to its surroundings. Unlike fixed-charge models, it explicitly includes terms for electronic polarization, often via induced dipoles, Drude oscillators, or fluctuating charges. For experts, these models (e.g., TIP4P-FQ, AMOEBA water) capture non-additive many-body effects and are essential for accurately simulating interfaces, ion solvation, and spectroscopic properties. (UNVERIFIED)

Sub Class Of water model force field c

external field parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001199
Description

A type of interaction parameter that specifies the properties of an external electric or magnetic field applied to the simulation system. This is used to study the response of the system to external fields. The external field parameter allows for the simulation of systems under non-standard conditions. This is often set with keywords like efx. (UNVERIFIED)

Sub Class Of interaction parameter c
Super Class Of external electric field component c

gnu format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000594
Description

A data file format designed to be used with the Gnuplot plotting program. It typically consists of columns of numerical data in a simple text-based layout that Gnuplot can easily parse and visualize. This format is widely used for generating scientific graphs and plots from raw data. (UNVERIFIED)

Sub Class Of plot data format c

nucleic acid structure analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000453
Description

Nucleic acid structure analysis is a specialized type of structural analysis that calculates a set of parameters describing the detailed geometry of a DNA or RNA helix. This includes parameters that describe the geometry of individual base pairs as well as the relationship between adjacent base pairs, such as twist, roll, and slide. For experts, these helical parameters are essential for characterizing the sequence-dependent structure of nucleic acids and for comparing simulated structures to experimental data. (UNVERIFIED)

Sub Class Of structural analysis c

surface area energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001321
Description

A specific type of nonpolar solvation energy calculated as a function of the molecule's solvent-accessible surface area. This term approximates the energetic cost of creating a cavity in the solvent and the favorable solute-solvent dispersion interactions. The surface area energy is a key component of MM/PBSA and MM/GBSA calculations. It is often reported as SURF or E_npol in outputs. (UNVERIFIED)

Sub Class Of solvation free energy c

second based unit c

IRI http://purl.obolibrary.org/obo/UO_1000010
Sub Class Of time unit c
Super Class Of

amber OL21 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001448
Description

The amber OL21 force field is a recent and highly accurate set of parameters for simulating DNA molecules within the AMBER simulation framework. It represents a state-of-the-art model that incorporates new quantum mechanical calculations and experimental data to further refine the description of the DNA backbone and sugar puckering. This force field is designed to provide a very accurate representation of DNA's structural properties in high-fidelity simulations. (UNVERIFIED)

Sub Class Of DNA force field c

6-21G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000505
Description

The 6-21G basis set is a Pople-style split-valence basis using a contraction of 6 Gaussian functions for core orbitals. Like 3-21G and 4-21G, it employs a split for valence orbitals where the inner part is contracted from 2 Gaussians and the outer part is a single Gaussian. The main difference lies in the more extensive representation of the core orbitals compared to 3-21G. (UNVERIFIED)

Sub Class Of split-valence c

aug-cc-pCVQZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000558
Description

The aug-cc-pCVQZ basis set combines a quadruple-zeta valence description with both tight core-valence correlation functions ('-CV') and diffuse functions ('aug-'). It is intended for benchmark-quality calculations requiring a highly accurate treatment of both core electron effects and diffuse electron density phenomena simultaneously. Its computational cost is very high. (UNVERIFIED)

Sub Class Of split-valence c

conformation validation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000978
Description

A specific type of validation technique focused on assessing the quality of the three-dimensional arrangement of atoms (the conformation) in simulated biomolecules. It evaluates whether the molecular geometry, including bond lengths, angles, and steric arrangements, is plausible according to known chemical and physical rules. This ensures the structural models generated or sampled during a simulation are stereochemically sound (UNVERIFIED).

Sub Class Of validation analysis c
Super Class Of structural check analysis c

constraint algorithm parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001203
Description

A constraint parameter that specifies which algorithm is used to enforce the geometric constraints. Common choices include SHAKE, RATTLE, LINCS, or SETTLE. The choice of constraint algorithm parameter depends on the type of constraints and the desired level of accuracy and performance. This is often set with the keyword ntc in AMBER or constraints in GROMACS. (UNVERIFIED)

Sub Class Of constraint parameter c

4-21G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000487
Description

The 4-21G basis set is a Pople-style split-valence basis conceptually similar to 3-21G, but it uses a contraction of 4 Gaussian functions to represent core orbitals. Like 3-21G, it uses a two-function split (contracted from 2 Gaussians and 1 Gaussian) for the valence orbitals. It provides basic split-valence flexibility with a slightly different core description than 3-21G. (UNVERIFIED)

Sub Class Of split-valence c

cubic spline interpolation algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001749
Description

Cubic spline interpolation is a mathematical algorithm used to construct a smooth curve that passes through a given set of data points. It works by fitting a series of piecewise third-order polynomials between each pair of points, ensuring that the resulting curve and its first two derivatives are continuous. In simulation analysis, this algorithm is often used to create a smooth potential of mean force profile from the discrete data points obtained from an umbrella sampling calculation. (UNVERIFIED)

Sub Class Of signal processing algorithm c

amber ff99bsc0 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000748
Description

A specific modification of the AMBER ff99 protein force field, where 'bsc0' refers to refinements of the chi (χ) dihedral angle parameters for nucleic acids (specifically DNA), developed by the Barcelona group (bsc = Barcelona Supercomputing Center, 0 likely version). This highlights that ff99 base parameters were sometimes combined with specialized parameters for other molecule types. Although listed under protein, bsc0 is primarily for DNA backbone. (UNVERIFIED)

Sub Class Of protein force field c

QM generalized Born treatment c

IRI http://purl.obolibrary.org/obo/MOLSIM_000509
Description

A QM generalized Born treatment is a multiscale simulation method that combines a high-accuracy Quantum Mechanics (QM) description of a solute with a Generalized Born (GB) implicit solvent model. This allows for the study of a molecule's electronic structure and reactivity while accounting for the average electrostatic effect of the solvent continuum. For experts, this QM/GB approach is a computationally efficient way to model chemical reactions in solution without the expense of explicit solvent molecules. (UNVERIFIED)

Sub Class Of QM/MM simulation c

statistical property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001403
Description

A type of output data descriptor that represents a quantity derived from a statistical analysis of a dataset, often from a simulation trajectory. These properties are used to quantify the relationships, errors, and distributions within the data. They are essential for interpreting the results of simulations and assessing their reliability. These are the primary outputs of statistical analysis software. (UNVERIFIED)

Sub Class Of computed observable c
Super Class Of

reaction analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000027
Description

A specific type of analysis method focused on understanding how chemical reactions occur within the simulated molecular system. It involves characterizing the pathways, transition states, and energy changes associated with the transformation of reactants into products. This helps elucidate reaction mechanisms and kinetics at the molecular level. (UNVERIFIED)

Sub Class Of analysis method c
Super Class Of

targeted MD force constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001238
Description

A targeted MD parameter that specifies the force constant for the RMSD restraint potential used to guide the simulation towards the target structure. A larger targeted MD force constant results in a stronger biasing force. This is a key parameter for controlling the strength of the targeted MD simulation. This is often set with the keyword tgtmdfrc. (UNVERIFIED)

Sub Class Of targeted MD parameter c

water cap force constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001209
Description

A specific restraint energy constant used to apply a restraining potential to a spherical cap of water molecules around a solute. This is used in some simulation setups to prevent the solute from becoming exposed to the vacuum. The water cap force constant controls the strength of this spherical boundary potential. This is often set with the keyword fcap. (UNVERIFIED)

Sub Class Of restraint parameter c

distribution overlap c

IRI http://purl.obolibrary.org/obo/MOLSIM_001411
Description

A type of statistical property that quantifies the degree to which two probability distributions share common regions. In free energy calculations, this is a critical diagnostic for ensuring that adjacent simulation windows have sampled sufficiently overlapping regions of phase space. The distribution overlap is a key metric for validating the results of umbrella sampling or replica exchange simulations. This is often reported as Phase space overlap (PSO). (UNVERIFIED)

Sub Class Of statistical property c
Super Class Of phase space overlap c

MTTK pressure coupling c

IRI http://purl.obolibrary.org/obo/MOLSIM_002017
Description

A mathematical method used to keep the pressure constant in a computer simulation of a molecular system. The Martyna-Tobias-Klein (MTTK) algorithm controls pressure by dynamically adjusting the size of the simulation box using equations of motion that rigorously sample the correct statistical ensemble. For experts, while theoretically rigorous for generating the NPT ensemble without the artifacts of stochastic collisions, it involves coupling the cell vectors to a thermostat chain and has been largely superseded or modified in some software versions due to implementation complexities or equipartition issues. (UNVERIFIED)

Sub Class Of barostat algorithm c

DFTB electronic temperature c

IRI http://purl.obolibrary.org/obo/MOLSIM_001251
Description

A DFTB parameter that specifies an electronic temperature to accelerate the convergence of the DFTB calculation. This is a numerical trick used to improve the stability of the SCF procedure. The DFTB electronic temperature is a key parameter for difficult-to-converge systems. This is often set with the keyword dftb_telec. (UNVERIFIED)

Sub Class Of DFTB parameter c

tilt c

IRI http://purl.obolibrary.org/obo/MOLSIM_001355
Description

A base pair step parameter that describes the rotation of one base pair relative to the next around their short axes. A non-zero tilt causes the helix to bend. It is an important parameter for describing DNA curvature. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair step parameter c

package manager c

IRI http://purl.obolibrary.org/obo/MOLSIM_001588
Description

A package manager is a tool that automates the process of installing, upgrading, configuring, and removing software packages and their dependencies. It simplifies the management of the complex web of software required for scientific computing by handling the details of where to find packages and which versions are compatible. For simulation scientists, package managers like Conda are crucial for creating stable and reproducible software environments. (UNVERIFIED)

Sub Class Of software development and management tool c
Super Class Of Miniconda c

CM2 charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001436
Description

The CM2 charge model is an improved version of the CM1 charge method for calculating partial atomic charges from a semi-empirical quantum calculation. It uses a more refined parameterization to better reproduce experimental or high-level theoretical dipole moments. For computational chemists, CM2 represents a more accurate and reliable method than CM1 for rapidly generating charges for organic molecules. (UNVERIFIED)

Sub Class Of ligand charge model c

phosaa14SB parameter set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001501
Description

The phosaa14SB parameter set contains the force field parameters required to model phosphorylated amino acids within the AMBER simulation framework. It was specifically developed to be consistent and compatible with the widely used AMBER ff14SB protein force field. This set allows for accurate simulations of proteins where phosphorylation plays a key role in function and regulation. (UNVERIFIED)

Sub Class Of force field parameter set c

ptraj format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001066
Description

The term "ptrajformat" does not refer to a distinct file type with its own extension. Instead, it is a keyword or an option used within the secstruct command of Amber's cpptraj analysis program. When this keyword is used, it directs cpptraj to write secondary structure data in a specific ASCII text format that mimics the output style of the older ptraj software. Since ptrajformat is a formatting option and not a file type, there is no mandatory or standard file extension. The output is saved to the filename provided by the user via the out directive in the secstruct command. Common practice is to use a generic but descriptive extension, such as .dat, .txt, .sec or .ss. (UNVERIFIED)

Sub Class Of molecular trajectory analysis format c

pickle format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000321
Description

The pickle format is a Python-specific binary serialization format used to convert Python object hierarchies into a byte stream. In computational chemistry pipelines, it is frequently used to persist complex data structures, such as machine learning models, analysis results, or system states, allowing them to be saved to disk and reloaded later. (UNVERIFIED)

Sub Class Of general data format c

bar c

IRI http://purl.obolibrary.org/obo/UO_0010069
Description

A pressure unit which is equal to 100,000 pascal or the pressure or stress on a surface caused by a force of 100,000 newtons spread over a surface of 1 m^[2].

Sub Class Of pascal based unit c

cpinutil.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001624
Description

The cpinutil.py script is a utility within the AmberTools suite for creating and manipulating the input files required for constant pH molecular dynamics (CpHMD) simulations. It helps define which residues will be titrated and sets up the necessary parameters for the constant pH algorithm. For researchers studying pH-dependent phenomena, this script is an essential tool for preparing the specialized input for CpHMD simulations. (UNVERIFIED)

Sub Class Of utility script c

Gasteiger charge model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001437
Description

The Gasteiger charge model is a rapid, empirical method for calculating partial atomic charges that does not require a quantum mechanical calculation. It estimates charges based on the principle of electronegativity equalization, iteratively adjusting charges until the electronegativity is uniform throughout the molecule. For cheminformaticians, Gasteiger charges provide a very fast way to generate reasonable atomic charges for large databases of molecules. (UNVERIFIED)

Sub Class Of ligand charge model c

NModelGB c

IRI http://purl.obolibrary.org/obo/MOLSIM_000465
Description

NModelGB is a specific implementation of a Generalized Born (GB) implicit solvent model, likely used within a particular simulation package. It provides a specific set of equations and parameters for calculating the electrostatic contribution to the solvation free energy. The "NModel" designation distinguishes this particular variant from other GB models available to the user. (UNVERIFIED)

Sub Class Of molecular mechanics generalized Born surface area tool c

covariance matrix analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000480
Description

A covariance matrix calculation is an analysis method that quantifies the correlated motions of atoms in a simulation. The resulting matrix describes how the displacement of each atom is correlated with the displacement of every other atom. For experts, calculating and diagonalizing the covariance matrix is the central step in Principal Component Analysis (PCA), which is used to identify the dominant, large-scale collective motions of a protein or other macromolecule. (UNVERIFIED)

Sub Class Of dynamics analysis c

solvent potential file format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001110
Description

This file format stores a 3D map of the potential energy experienced by the solvent molecules in the space surrounding a central solute. The value at each grid point represents the average potential energy of the solvent at that location, reflecting the combined interactions with the solute and other solvent molecules. This format provides a view of the energetic landscape of the solvent, which can be used to identify energetically favorable or unfavorable regions for solvation. (UNVERIFIED)

Sub Class Of solvent analysis format c

polarization energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001306
Description

A component of the system's energy that arises from the distortion of a molecule's electron cloud in response to the electric field of its environment. This term is only present when using a polarizable force field, where induced dipoles are explicitly calculated to provide a more accurate electrostatic model. The polarization energy is a key output for assessing the magnitude of electronic polarization effects. It is often reported in log files as Polarization, E_pol, or POLAR. (UNVERIFIED)

Sub Class Of energy c

radius of gyration collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001840
Description

The radius of gyration is a collective variable that measures the overall compactness of a molecule or a group of atoms. It quantifies how spread out the atoms are from the molecule's center of mass, with a smaller value indicating a more compact shape. This variable is commonly used as a simple metric to monitor large-scale conformational changes, such as the process of a protein folding into its native structure or unfolding. (UNVERIFIED)

Sub Class Of collective variable c

hybrid ReaxFF/AMBER molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000638
Description

This is a simulation method that combines two different types of force fields to model a complex system. It uses a reactive force field (ReaxFF) for a small part of the system where chemical reactions can happen, and a standard, faster force field (AMBER) for the rest. For experts, this is a multiscale simulation technique, similar to QM/MM, that couples a reactive potential with a classical non-reactive potential, enabling the study of chemical events within a large, explicitly represented biomolecular environment. (UNVERIFIED)

Sub Class Of molecular dynamics c

toroidal-view-preserving algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001748
Description

A specialized algorithm for visualizing molecules in a periodic simulation box that ensures chemical bonds are always drawn correctly, even when they cross a boundary. It treats the periodic box as a torus (a donut shape), so that when a molecule is viewed, its connectivity is preserved without being artificially "broken" at the box edges. This scheme is important for creating clear and unambiguous visualizations of molecular structures and their interactions within a periodic environment. (UNVERIFIED)

Sub Class Of analysis algorithm c

GAUSSIAN z-matrix format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001095
Description

A Gaussian input format that defines molecular geometry using internal coordinates. It specifies bond lengths, bond angles, and dihedral angles relative to previously defined atoms. This format is useful for controlling molecular symmetry and performing systematic conformational scans. (UNVERIFIED)

Sub Class Of molecular structure format c

truncated octahedron c

IRI http://purl.obolibrary.org/obo/MOLSIM_000034
Description

A specific type of simulation box shape created by cutting off the corners of an octahedron. Like the rhombic dodecahedron, it is a space-filling polyhedron that approximates a sphere more closely than a cube, reducing the required solvent volume for solvating non-cubic solutes under periodic boundary conditions. It offers similar computational efficiency benefits as the rhombic dodecahedron for many systems. (UNVERIFIED)

Sub Class Of box type c

solute-water interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001804
Description

The solute-water interaction energy is the total potential energy arising from all the interactions between the main molecule of interest (the solute) and all the surrounding water molecules. This value quantifies the overall strength of the molecule's solvation by water. Monitoring this energy is important for understanding how a molecule interacts with its aqueous environment and is a key component in many types of free energy calculations. (UNVERIFIED)

Sub Class Of interaction energy c

library c

IRI http://purl.obolibrary.org/obo/MOLSIM_001566
Description

A software library is a collection of pre-written code and subroutines that provide specific functionalities to be used by other programs. Libraries are not executed directly by end-users but are imported or linked by developers to perform specialized tasks, such as mathematical computations or file parsing. (UNVERIFIED)

Sub Class Of software component c
Super Class Of

SPC flexible c

IRI http://purl.obolibrary.org/obo/MOLSIM_000770
Description

A variation of the SPC water model where the normally rigid constraints on bond lengths (O-H) and/or angle (H-O-H) are replaced with flexible harmonic potentials. This allows the water molecule geometry to fluctuate during the simulation, which can affect dynamics and spectroscopic properties. It adds computational overhead compared to rigid SPC. (UNVERIFIED)

Sub Class Of water model force field c

measurement datum c

IRI http://purl.obolibrary.org/obo/IAO_0000109
Description

A measurement datum is an information content entity that is a recording of the output of a measurement such as produced by a device.

Sub Class Of data entity c
Super Class Of scalar measurement datum c

rotational spectroscopy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001020
Description

Rotational spectroscopy probes the transitions between quantized rotational energy levels of molecules, almost exclusively in the gas phase where molecules can rotate freely. These transitions typically occur in the microwave region of the spectrum and are highly sensitive to the molecule's moments of inertia. Consequently, rotational spectroscopy provides extremely precise measurements of molecular geometry, such as bond lengths and angles. (UNVERIFIED)

Sub Class Of spectroscopy c
Super Class Of vibration-rotation coupling c

conformational state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000105
Description

A specific three-dimensional arrangement or shape adopted by a flexible molecule, such as a protein or ligand. Molecules can typically exist in multiple conformational states, corresponding to different local minima on their potential energy surface, separated by energy barriers. Simulations are often used to explore the accessible conformational states, their relative populations, and the transitions between them, which are essential for molecular function and binding. (UNVERIFIED)

Sub Class Of ligand state c

lipid system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001904
Description

A lipid system is a molecular simulation system composed primarily of lipid molecules, usually arranged as a bilayer in water. These simulations are used to study the fundamental physical properties of biological membranes, such as their phase behavior, fluidity, and permeability. For experts, these systems are the necessary starting point for any simulation involving a membrane-embedded protein. (UNVERIFIED)

Sub Class Of molecular simulation system c

alpha helix c

IRI http://purl.obolibrary.org/obo/MOLSIM_001787
Description

The alpha-helix is the most common spiral shape found in proteins, resembling a coiled ribbon. It is a right-handed secondary structure motif characterized by a repeating hydrogen bond between the backbone carbonyl of a residue and the backbone amide of the residue four positions down the chain (i → i+4). This highly stable and common structure forms a fundamental building block for the architecture of most proteins. (UNVERIFIED)

Sub Class Of helix c

InChI code c

IRI http://purl.obolibrary.org/obo/MOLSIM_001742
Description

The IUPAC International Chemical Identifier (InChI) is a standardized text string that provides a unique, machine-readable signature for a specific chemical substance. It is algorithmically generated from a molecule's structural information, ensuring that a given compound will always produce the same identifier regardless of how it was drawn or named. This code serves as a universal label for linking chemical information across different databases and software, much like a barcode for molecules. (UNVERIFIED)

Sub Class Of identifier c

restrained subset dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000335
Description

Restrained subset dynamics is a simulation method where restraining potentials are applied to only a specific part, or subset, of the molecular system. This allows the selected atoms to be held fixed or guided, while the rest of the system is free to move and respond dynamically. For experts, this method is commonly used to hold a protein backbone rigid while allowing side chains to sample different conformations. (UNVERIFIED)

Sub Class Of restrained simulation method c

reweighting entropy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001328
Description

A specific type of entropy used as a diagnostic in the analysis of biased simulations with methods like MBAR. The reweighting entropy measures the uniformity of the weights used to combine data from different simulation windows. A low value indicates that the data is being used efficiently in the free energy calculation. This term is a specific output of the MBAR analysis method. (UNVERIFIED)

Sub Class Of entropy c

electromagnetic interaction energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_000234
Description

The potential energy arising from electromagnetic forces, which encompass both electrostatic (Coulomb) forces between charged particles and magnetic forces associated with moving charges and magnetic moments. In the context of biomolecular simulations using classical force fields, this fundamental interaction is modeled through specific terms: primarily the electrostatic or Coulomb energy between partial atomic charges, and the Van der Waals energy which accounts for both permanent/induced dipole interactions (electrostatic origin) and dispersion forces (quantum mechanical fluctuations leading to transient dipoles). Electromagnetic forces are the dominant interactions governing molecular structure, dynamics, and binding. (UNVERIFIED)

Sub Class Of interaction energy model c

OPLS-UA c

IRI http://purl.obolibrary.org/obo/MOLSIM_000760
Description

The United-Atom version of the OPLS force field family. In this version, nonpolar hydrogen atoms are grouped with the heavy atom they are bonded to (e.g., CH3 is treated as a single interaction center), reducing computational cost. OPLS-UA was particularly prominent for simulations of organic liquids and early protein simulations. (UNVERIFIED)

Sub Class Of protein force field c

Bussi thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_001732
Description

The Bussi thermostat, also known as the stochastic velocity rescaling thermostat, is an algorithm for controlling the temperature in a molecular dynamics simulation. It works by periodically rescaling the atomic velocities based on a random factor drawn from a specific statistical distribution, ensuring that the system's total kinetic energy correctly samples the canonical ensemble. This method is highly effective as it combines the gentle temperature coupling of the Berendsen thermostat with the rigorous statistical accuracy of the Nosé-Hoover thermostat, making it a popular choice in modern simulation packages. (UNVERIFIED)

Sub Class Of thermostat algorithm c

frequency unit c

IRI http://purl.obolibrary.org/obo/UO_0000105
Description

A unit which is a standard measure of the number of repetitive actions in a particular time.

Sub Class Of unit c
Super Class Of

finite-difference analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000366
Description

The finite-difference method is a numerical analysis technique for solving differential equations by approximating the derivatives with finite differences. It discretizes the problem onto a grid and replaces the continuous derivatives with algebraic expressions involving the function values at neighboring grid points. For experts, this method is the basis for many numerical solvers, including those used to solve the Poisson-Boltzmann equation in continuum electrostatics. (UNVERIFIED)

Sub Class Of numerical analysis c

radius of gyration analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000314
Description

Radius of gyration analysis is a calculation that measures how compact or spread out a molecule is. As a type of structural analysis, this method quantifies the overall size and shape of a molecule or atomic selection by calculating the root-mean-square distance of its atoms from their common center of mass. Monitoring the radius of gyration over time is a standard procedure to track large-scale conformational changes, such as protein folding, unfolding, or domain movements. Analysis tools and outputs frequently use the terms "radgyr," "Rg," "radius of gyration," or "gyrate." (UNVERIFIED)

Sub Class Of structural analysis c

RASSCF c

IRI http://purl.obolibrary.org/obo/MOLSIM_000837
Description

Restricted Active Space Self-Consistent Field, a flexible type of multi-reference method (within the MC-SCF family) similar to CASSCF but offering more control over the included electron configurations. The active space is divided into subspaces (RAS1, RAS2, RAS3) with restrictions on the number of electrons or excitations allowed within and between them, making calculations feasible for larger active spaces than typically possible with CASSCF. It allows a tailored balance between computational cost and the desired level of multi-reference treatment (UNVERIFIED).

Sub Class Of multi-reference c

network interconnect c

IRI http://purl.obolibrary.org/obo/MOLSIM_001943
Description

The network interconnect is the high-speed communication system that links all the individual computers, or nodes, together in a high-performance cluster. It is the fabric of hardware and protocols that manages the data transfer between nodes running different parts of a parallel simulation. The performance of this system, particularly its low latency and high bandwidth, is a critical factor in how well a large molecular dynamics simulation can scale across many nodes. (UNVERIFIED)

Sub Class Of hardware c
Super Class Of

semi-empirical Born-Oppenheimer molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000637
Description

This is a type of molecular dynamics where the forces between atoms are calculated using a fast, approximate quantum mechanical method at each step. This allows the simulation to model changes in chemical bonds, like reactions, which is not possible with standard, non-reactive force fields. This is an ab initio MD method where forces are calculated "on-the-fly" using a semi-empirical quantum method (like DFTB or PM6) under the Born-Oppenheimer approximation, providing a balance between computational cost and the ability to model electronic effects. (UNVERIFIED)

Sub Class Of molecular dynamics c

RMS average correlation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001810
Description

The RMS average correlation is a statistical measure that quantifies the average degree of correlated motion between all the different parts of a molecule during a simulation. It is calculated by taking the root-mean-square of all the pairwise correlation values from a dynamic cross-correlation matrix. This single value provides a global metric of the overall collectivity of the system's dynamics, with a higher value indicating that the molecule's motions are more concerted. (UNVERIFIED)

Sub Class Of correlation coefficient c

10-12 H-bond energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001312
Description

A component of the system's energy representing a special potential term used in some older force fields to explicitly model hydrogen bonds. It is calculated using a 10-12 Lennard-Jones-like function between donor and acceptor atoms. This term is not commonly used in modern force fields but may be found in older simulation outputs. It is often reported as HBOND in energy summaries when such a potential is used. (UNVERIFIED)

Sub Class Of energy c

QM/MM non-bonded cutoff c

IRI http://purl.obolibrary.org/obo/MOLSIM_001248
Description

A QM/MM parameter that specifies the cutoff distance for non-bonded interactions between the QM region and the MM region. This is a key parameter for controlling the computational cost and accuracy of the QM/MM calculation. The QM/MM non-bonded cutoff is often set with the keyword qmcut. (UNVERIFIED)

Sub Class Of QM/MM parameter c

OpenMPI c

IRI http://purl.obolibrary.org/obo/MOLSIM_002047
Description

Open MPI is an open-source, freely available implementation of the Message Passing Interface (MPI) standard. It is widely used in high-performance computing to facilitate communication between distributed processes. In biomolecular simulation, it is a standard library used to compile and run parallel simulation engines, such as GROMACS, LAMMPS, and NAMD, across multiple nodes of a computer cluster to ensure efficient scaling and data exchange. (UNVERIFIED)

Sub Class Of library c

Markov state models analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000117
Description

Markov State Models (MSMs) are statistical models constructed from molecular dynamics simulation data to analyze the long-timescale kinetics and thermodynamics of the system. By discretizing conformational space into states and modeling transitions between them as memoryless (Markovian), MSMs allow estimation of properties like relaxation timescales, equilibrium populations, and dominant transition pathways from trajectory data. They are powerful tools for analyzing complex dynamics. (UNVERIFIED)

Sub Class Of free energy and molecular dynamics analysis c

lifetime curve data c

IRI http://purl.obolibrary.org/obo/MOLSIM_001807
Description

Lifetime curve data is a graph that shows how long a specific molecular interaction, such as a hydrogen bond, typically lasts in a simulation. The curve usually plots the probability that an interaction, once formed, will still exist after a certain amount of time has passed. This data is generated by calculating the autocorrelation function of an interaction's existence over a trajectory, and fitting the curve provides a characteristic lifetime for that interaction. (UNVERIFIED)

Sub Class Of kinetic property c

Modeller c

IRI http://purl.obolibrary.org/obo/MOLSIM_001928
Description

Modeller is a widely used computer program for generating three-dimensional models of proteins through homology or comparative modeling. It predicts a protein's structure by using the known structure of a related protein as a template and satisfying spatial restraints. For researchers, Modeller is a powerful tool to create high-quality structural hypotheses for proteins whose experimental structures have not yet been determined, providing a starting point for further simulation. (UNVERIFIED)

Sub Class Of homology modeling tool c

raman optical activity c

IRI http://purl.obolibrary.org/obo/MOLSIM_001023
Description

Raman optical activity (ROA) is a specialized technique that measures the small intensity difference in Raman scattering from chiral molecules using left- versus right-circularly polarized light. It combines the detailed vibrational information from Raman spectroscopy with sensitivity to the molecule's three-dimensional structure and handedness (chirality). ROA is particularly valuable for studying the conformation of biomolecules in their native (often aqueous) environment. (UNVERIFIED)

Sub Class Of specialized techniques c

Lorentz-Berthelot mixing modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000643
Description

The Lorentz-Berthelot mixing rules are a standard method used in force fields to determine the non-bonded interaction parameters between two different types of atoms. The rule calculates the Lennard-Jones collision diameter (sigma) using an arithmetic mean and the energy well depth (epsilon) using a geometric mean of the parameters for the individual atom types. For experts, these combining rules are the default method used to generate the full matrix of pairwise non-bonded parameters from the limited set defined for each atom type. (UNVERIFIED)

Sub Class Of force field parameterization modeling c

dynamics analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000939
Description

Dynamics analysis involves processing the time-series data generated from molecular dynamics simulations, primarily the trajectory files, to extract quantitative information and insights about the system's behavior. This encompasses a wide range of techniques aimed at understanding molecular motions, conformational changes, interactions, and kinetic or thermodynamic properties. The goal is to translate raw simulation output into meaningful physical or biological understanding. (UNVERIFIED)

Sub Class Of
Super Class Of

linear mixing potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001549
Description

A linear mixing potential is a mathematical approach used in some advanced simulations to smoothly transform one type of molecule into another. In alchemical free energy calculations, this describes an energy function where the potential of the system is a linear interpolation between the initial and final states, controlled by a coupling parameter. This approach is the basis for many thermodynamic integration and free energy perturbation calculations, though it is often combined with other techniques to ensure a stable transformation. (UNVERIFIED)

Sub Class Of force field component c

grid inhomogeneous solvation theory analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000426
Description

Grid Inhomogeneous Solvation Theory (GIST) is an analysis method that provides a detailed, three-dimensional picture of the thermodynamic properties of water molecules surrounding a solute. It calculates quantities like the local water density, energy, and entropy on a 3D grid by analyzing a simulation trajectory with explicit solvent. This method allows researchers to identify specific hydration sites and quantify their individual contributions to the overall free energy of solvation. (UNVERIFIED)

Sub Class Of solvent analysis c

solvation model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000065
Description

The computational approach used within a simulation to represent the effects of the surrounding solvent environment (most commonly water in biomolecular contexts) on the properties and behavior of the solute molecule(s). These models range from explicitly including individual solvent molecules (explicit models) to representing the solvent as a continuous medium with averaged properties (implicit models), or using combinations or specialized representations (hybrid, coarse-grained, QM). The choice of solvation model profoundly impacts the accuracy of simulating phenomena like folding, binding, and reaction energetics, as well as the computational cost. (UNVERIFIED)

Sub Class Of model c
Super Class Of

OPLS-2001 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000761
Description

A specific parameter set version within the OPLS-AA force field family, released around 2001. It contained parameters primarily for proteins and organic liquids available at that time. Subsequent versions like OPLS-2005 updated and expanded upon this set. (UNVERIFIED)

Sub Class Of protein force field c

predictive index of Pearman analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000498
Description

The predictive index of Pearman is a statistical metric used to evaluate how well a computational model, such as one for calculating binding free energies, can predict new experimental data. It assesses the model's predictive power by comparing the magnitude of the prediction errors to the overall range of the experimental data. This index provides a quantitative measure of a model's practical utility for making useful predictions on new molecules. (UNVERIFIED)

Sub Class Of computational method statistical measure analysis c

Berendsen barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000040
Description

A barostat algorithm that weakly couples the system to an external pressure bath by rescaling the simulation box volume and particle coordinates based on the difference between the current instantaneous pressure and the target pressure. Similar to the Berendsen thermostat, it is computationally simple and effective for equilibration but does not rigorously sample the correct NPT ensemble. It allows isotropic or anisotropic pressure coupling (UNVERIFIED).

Sub Class Of barostat algorithm c

parameter assignment tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001970
Description

A parameter assignment tool is a software utility that analyzes a molecular structure to identify its chemical components and apply standard force field rules. It determines the specific atom types, bond types, and corresponding interaction parameters from a force field library based on the local chemical environment. For experts, these tools automate the mapping of general force field rules (like GAFF) to specific molecules, ensuring consistent parameter usage. (UNVERIFIED)

Sub Class Of topology and parameterization tool c
Super Class Of

ion randomization analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000662
Description

An ion randomization method is a procedure for placing ions in a simulation box by randomly swapping their positions with existing solvent molecules. This is often done after an initial, simpler placement to ensure the ions are well-distributed throughout the solvent. For experts, this method helps to create a more disordered and realistic initial distribution of ions, avoiding potential artifacts from placing them in a regular grid. (UNVERIFIED)

Sub Class Of ion placement analysis c

electron affinity c

IRI http://purl.obolibrary.org/obo/MOLSIM_001384
Description

A type of electronic property representing the energy released when an electron is added to a molecule. It is a fundamental measure of a molecule's ability to accept an electron and its resistance to reduction. The electron affinity is a key quantity calculated by quantum chemistry programs to assess electronic stability. This is often estimated from the energy of the lowest unoccupied molecular orbital (LUMO). (UNVERIFIED)

Sub Class Of electronic property c

stochastic cell rescaling barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_002028
Description

The stochastic cell rescaling barostat (C-rescale) is an algorithm used to control pressure in molecular simulations by adjusting the simulation box size using a stochastic differential equation. It combines deterministic box scaling with a random noise term to enforce the target pressure while ensuring the system correctly samples the isothermal-isobaric (NPT) ensemble. For experts, this method (Bernetti & Bussi) yields the correct volume distribution without the unphysical oscillations often seen with deterministic barostats like Parrinello-Rahman, effectively treating the volume as a degree of freedom coupled to a Langevin piston. (UNVERIFIED)

Sub Class Of barostat algorithm c

amber bsc1 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001446
Description

The amber bsc1 force field is a specific and widely used refinement for the dihedral angle parameters of the DNA backbone, designed for use with AMBER force fields. Developed by the Barcelona Supercomputing Center (bsc), this correction (bsc1) significantly improves the description of DNA's structural dynamics compared to the uncorrected force fields. It is considered a standard addition for obtaining accurate DNA simulations. (UNVERIFIED)

Sub Class Of nucleic acid force field c

software c

IRI http://purl.obolibrary.org/obo/IAO_0000010
Description

Software is a plan specification composed of a series of instructions that can be interpreted by or directly executed by a processing unit.

Sub Class Of plan specification c

NAMD c

IRI http://purl.obolibrary.org/obo/MOLSIM_000786
Description

A highly scalable, parallel molecular dynamics simulation software package developed at the University of Illinois Urbana-Champaign, designed specifically for simulating large biomolecular systems on high-performance computers (NAnoscale Molecular Dynamics). NAMD works particularly well with the CHARMM force field (and others like AMBER) and is often used in conjunction with the VMD visualization program for setup and analysis. It is known for its excellent performance on parallel architectures, including GPUs. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

statistical model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001484
Description

A statistical model is a mathematical representation of a system that is based on the principles of statistical mechanics, describing the system in terms of probabilities and distributions. In the context of simulation, this refers to the underlying theoretical framework that connects the microscopic movements of atoms to the macroscopic thermodynamic properties we observe. For experts, the simulation itself is a method to generate a series of snapshots that sample from the probability distribution defined by the chosen statistical model, such as the canonical ensemble. (UNVERIFIED)

Sub Class Of model c
Super Class Of

HIP c

IRI http://purl.obolibrary.org/obo/MOLSIM_002044
Description

HIP (Heterogeneous-compute Interface for Portability) is a C++ runtime API and kernel language developed by AMD. It allows developers to write performance-portable code that can be compiled to run on both AMD and NVIDIA GPUs. In biomolecular simulation, HIP is increasingly used to port major molecular dynamics engines to run efficiently on AMD-powered supercomputers. (UNVERIFIED)

Sub Class Of application programming interface c

quantum mechanical solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000072
Description

A solvation model where the electronic structure of the solvent, or its interaction with the solute, is treated using quantum mechanics (QM). This can range from embedding a QM description of the solute within a classical solvent model (either implicit or explicit) using QM/MM techniques, to treating a number of explicit solvent molecules quantum mechanically along with the solute, or using implicit solvent models derived from QM principles (like the SMD model). These models capture electronic polarization, charge transfer, and other quantum effects involving the solvent, providing high accuracy but at a very high computational cost, reserved for specific problems like chemical reactions in solution. (UNVERIFIED)

Sub Class Of solvation model c

LANL08(f) c

IRI http://purl.obolibrary.org/obo/MOLSIM_000513
Description

This notation specifies the LANL08 effective core potential and valence basis set combination, additionally augmented with f-type polarization functions on the relevant heavy atoms. Including f-functions allows for greater flexibility in describing the electron distribution, which can be important for accurately modeling bonding and properties of molecules containing heavier elements where f-orbitals might play a role. (UNVERIFIED)

Sub Class Of split-valence c

backbone hydrogen bonds c

IRI http://purl.obolibrary.org/obo/MOLSIM_000190
Description

Hydrogen bonds formed specifically between the atoms of the polypeptide backbone in proteins or peptides. The most common form involves the amide hydrogen (N-H group) of one residue acting as the donor and the carbonyl oxygen (C=O group) of another residue (often i→i+4 in helices or between strands in sheets) acting as the acceptor. These regularly repeating interactions are the primary stabilizing force defining canonical secondary structures like alpha-helices and beta-sheets. (UNVERIFIED)

Sub Class Of hydrogen bond c

universal correction analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000619
Description

The universal correction method is an empirical adjustment applied to binding free energy calculations to account for the loss of translational and rotational freedom when a ligand binds to a protein. It adds a pre-calculated entropic penalty term to the final energy value, which is intended to approximate the cost of restricting the ligand's movement upon forming the complex. This simple correction is a way to estimate a crucial component of the binding entropy that is often neglected in simpler endpoint free energy methods. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

6-311G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000511
Description

The 6-311G basis set is a Pople-style basis that provides a triple-split description for valence orbitals, using 6 Gaussians for core orbitals. Each valence orbital is represented by three functions of different spatial extent (contracted from 3, 1, and 1 primitive Gaussian respectively). This increased flexibility in the valence shell offers higher accuracy than double-split sets like 6-31G, particularly when augmented with polarization and diffuse functions. (UNVERIFIED)

Sub Class Of split-valence c

Kendall tau correlation coefficient c

IRI http://purl.obolibrary.org/obo/MOLSIM_001406
Description

A specific type of correlation coefficient that measures the ordinal association between two variables. It is based on counting the number of concordant and discordant pairs in the data. The Kendall tau correlation coefficient is a non-parametric statistic used to measure the strength of the relationship between two ranked variables. This is often reported as tau or Kendall's tau. (UNVERIFIED)

Sub Class Of correlation coefficient c

Glycoprotein Builder c

IRI http://purl.obolibrary.org/obo/MOLSIM_001673
Description

The Glycoprotein Builder is a web-based tool that automates the process of constructing three-dimensional models of glycoproteins. It allows users to start with a protein structure and graphically attach various glycan (sugar chain) structures to specific amino acid residues. For researchers, this tool greatly simplifies the otherwise complex and tedious task of building a complete, simulation-ready model of a glycosylated protein. (UNVERIFIED)

Sub Class Of database web server c

free energy analysis parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001277
Description

A type of analysis parameter that controls the calculation of free energy from simulation data. These parameters define the settings for methods like MM/PBSA, thermodynamic integration, or umbrella sampling analysis. The free energy analysis parameter settings are crucial for obtaining accurate and converged free energy estimates. These are often set in the input file for a free energy analysis program. (UNVERIFIED)

Sub Class Of analysis parameter c
Super Class Of

editconf c

IRI http://purl.obolibrary.org/obo/MOLSIM_001925
Description

The editconf tool is a command-line utility within the GROMACS simulation package used for manipulating molecular structure files. Its primary functions include converting between different structure formats and defining the size and shape of the simulation box around a molecule. For GROMACS users, editconf is an essential step in system preparation for centering the molecule and establishing the periodic boundary conditions for the simulation. (UNVERIFIED)

Sub Class Of system packing and solvation tool c

json format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000317
Description

JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format consisting of attribute-value pairs and array data types. It is widely used in computational workflows for serializing structured data, such as simulation configuration settings, molecular metadata, or API responses from database web servers, offering a simpler and more compact alternative to XML. (UNVERIFIED)

Sub Class Of general data format c

quantum mechanics basis set c

IRI http://purl.obolibrary.org/obo/MOLSIM_000432
Description

A set of mathematical functions, often resembling atomic orbitals, used in quantum chemical calculations to represent the spatial distribution of electrons within a molecule (molecular orbitals). The choice and size of the basis set significantly impact the accuracy and computational cost of a simulation; larger, more flexible basis sets generally yield more accurate results but require more computer resources. These functions serve as the building blocks for constructing the calculated electronic wavefunction (UNVERIFIED).

Sub Class Of quantum mechanics c
Super Class Of

grid binning analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000658
Description

Grid binning analysis is a structural analysis method where the simulation box is divided into a three-dimensional grid of small cubes, or voxels. The analysis then involves counting how many times atoms of a certain type appear in each voxel over the course of a trajectory. This method is used to calculate the average spatial density of molecules, such as the distribution of water or ions around a protein. (UNVERIFIED)

Sub Class Of structural analysis c

bound state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000099
Description

The state in which a ligand molecule is physically associated with its receptor molecule, typically residing within a specific binding site or pocket, stabilized by non-covalent interactions. Simulations often aim to characterize the structure, dynamics, and interaction energy of the ligand within the bound state, or calculate the free energy difference between the bound and unbound states (binding free energy). Multiple distinct bound poses or conformations might exist. (UNVERIFIED)

Sub Class Of ligand state c

linear combination of distances collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001831
Description

A linear combination of distances is a custom collective variable created by mathematically combining several different distance measurements with specific weights. This allows a researcher to define a single, tailored coordinate that captures a very specific and complex motion involving multiple parts of a molecule simultaneously. It is a powerful tool for focusing enhanced sampling simulations on highly specific conformational transitions. (UNVERIFIED)

Sub Class Of distance collective variable c

external dielectric constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001197
Description

A specific dielectric constant parameter used in continuum solvent models like Poisson-Boltzmann or Generalized Born. It represents the dielectric constant of the bulk solvent, which is typically high for polar solvents like water. The external dielectric constant is a key parameter for MM/PBSA and MM/GBSA calculations. This is often set with the keyword exdi or epsout. (UNVERIFIED)

Sub Class Of dielectric constant c

molecule model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001476
Description

A molecule model is a representation that describes a single molecule in terms of its constituent atoms and the rules governing their interactions. This can range from a simple list of atom positions to a detailed description including chemical bonds and electrostatic properties. For simulation experts, the molecule model is the fundamental building block, defined by a force field, that is used to construct larger and more complex systems. (UNVERIFIED)

Sub Class Of model c
Super Class Of Einstein molecule model c

MOLE c

IRI http://purl.obolibrary.org/obo/MOLSIM_000115
Description

MOLE is a software algorithm designed to automatically locate and characterize channels, tunnels, and pores within protein structures. It utilizes a Voronoi diagram approach to efficiently map the void space inside a molecule and identify paths connecting internal cavities to the surface. This tool enables researchers to calculate the geometric and physicochemical properties of these pathways, which is essential for understanding ligand transport and enzymatic activity. (UNVERIFIED)

Sub Class Of tunnel predictor tool c

curation status specification c

IRI http://purl.obolibrary.org/obo/IAO_0000078
Description

The curation status of the term. The allowed values come from an enumerated list of predefined terms. See the specification of these instances for more detailed definitions of each enumerated value.

Sub Class Of data about an ontology part c
Equivalentclass

data about an ontology part c

IRI http://purl.obolibrary.org/obo/IAO_0000102
Description

Data about an ontology part is a data item about a part of an ontology, for example a term

Sub Class Of data entity c
Super Class Of

statistical package c

IRI http://purl.obolibrary.org/obo/MOLSIM_000306
Description

Software primarily designed for statistical analysis, data manipulation, graphical representation, and reporting. While not specific to biomolecular simulation, packages like R or Python with libraries like NumPy/SciPy/Pandas are extensively used in the analysis stage to process simulation output, perform statistical tests, generate plots, fit models, and interpret large datasets generated from trajectories or calculations. They provide powerful tools for quantitative analysis beyond basic trajectory viewers. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of R c

alchemical analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001968
Description

An alchemical analysis tool is a software program designed to process data from simulations that physically transform a system from one chemical state to another via non-physical intermediate steps. It implements statistical mechanics estimators, such as the Multistate Bennett Acceptance Ratio (MBAR) or Thermodynamic Integration (TI), to rigorously calculate the free energy difference between states. These tools are the essential post-processing engines for relative and absolute binding free energy calculations in drug discovery. (UNVERIFIED)

Sub Class Of free energy analysis tool c
Super Class Of edgembar c

similarity calculation algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000074
Description

An algorithm used to quantify the degree of resemblance between two objects, often molecules represented by chemical fingerprints or structural features, or between simulation data like conformations or trajectories. These methods employ various mathematical formulas (metrics or coefficients) to compute a numerical score indicating similarity or distance. They are widely used in cheminformatics, drug discovery, and simulation analysis (UNVERIFIED).

Sub Class Of algorithm c
Super Class Of

original residue number c

IRI http://purl.obolibrary.org/obo/MOLSIM_001046
Description
  • The residue number as it appeared in the original input (e.g., PDB) file

  • The original residue number is the number assigned to an amino acid in the original experimental data file. As a type of identifier, it represents the residue number as it appeared in the source file, typically a PDB file, before any renumbering may have occurred during simulation setup. This is crucial for mapping simulation results back to the standard numbering used in publications and other databases, especially when multiple chains or insertions are present. This is often referred to in analysis tool selections with flags like "ores" or in data tables as "OriginalResNum" or "PDB_ResID." (UNVERIFIED)

Sub Class Of identifier c

pytraj c

IRI http://purl.obolibrary.org/obo/MOLSIM_001579
Description

Pytraj is a Python library that provides a programmable interface to the powerful trajectory analysis capabilities of the cpptraj engine from the AmberTools suite. It allows users to write Python scripts to perform a wide range of analyses, such as calculating RMSD, distances, and hydrogen bonds, directly on simulation trajectories. For researchers, pytraj enables the creation of complex, automated, and reproducible analysis workflows that integrate seamlessly with other Python data science tools. (UNVERIFIED)

Sub Class Of

correction map c

IRI http://purl.obolibrary.org/obo/MOLSIM_001551
Description

A correction map, or CMAP, is a force field component that applies a grid-based energy correction to the potential energy of a pair of backbone dihedral angles in a protein. This 2D correction is added to the standard dihedral potentials to better reproduce the distribution of phi and psi angles observed in high-resolution crystal structures. For users of the CHARMM force field, the CMAP correction is an essential component for accurately modeling protein backbone conformational preferences. (UNVERIFIED)

Sub Class Of force field component c

conflib format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001059
Description

The LMOD conflib format is a conformational library file used by the Low-Mode (LMOD) conformational search program in AmberTools. This file stores a pre-calculated or user-defined collection of different 3D structures for a single molecule. The LMOD program reads this library as input to guide its search, allowing it to more efficiently sample, cluster, or select representative conformations for further analysis. (UNVERIFIED)

Sub Class Of molecular structure format c

data analysis technique c

IRI http://purl.obolibrary.org/obo/MOLSIM_000122
Description

A data analysis technique is a specific computational method used to extract meaningful scientific insights from the raw data generated by a simulation. These techniques can range from simple calculations, like measuring the distance between two atoms over time, to complex statistical methods that identify large-scale molecular motions. Applying these techniques is the crucial step that transforms a trajectory of atomic coordinates into an understandable story about the molecule's behavior. (UNVERIFIED)

Sub Class Of analysis method c

deep potential range corrected potential c

IRI http://purl.obolibrary.org/obo/MOLSIM_001507
Description

A type of machine learning force field that combines a deep neural network for short-range atomic interactions with a classical physics-based function for long-range interactions. The neural network is trained on high-accuracy quantum mechanics data to learn the complex, many-body interactions at short distances. This hybrid approach leverages the power of machine learning for the most difficult part of the calculation while retaining an efficient and physically correct description of the long-range forces, such as electrostatics. (UNVERIFIED)

Sub Class Of QM/MM model component c

GBION implicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001519
Description

The GBION implicit solvent model is a computational method designed to improve the simulation of ions in water without explicitly modeling every water molecule. It is a specific parameterization of the Generalized Born (GB) model where the effective Born radii of ions are adjusted to better reproduce their experimental hydration free energies. This model is useful for simulations where an accurate description of ion solvation is important, but the computational cost of an explicit solvent is prohibitive. (UNVERIFIED)

Sub Class Of generalized Born implicit solvent model c

ant colony optimization algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000095
Description

A probabilistic heuristic algorithm for finding good paths through graphs, inspired by the foraging behavior of ants who deposit pheromones. Artificial ants construct candidate solutions (paths) by moving through the graph, probabilistically choosing edges based on distance and accumulated artificial pheromone trails, which are updated based on the quality of solutions found. It is often applied to combinatorial optimization problems like the Traveling Salesperson Problem (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

electronic transition band shape c

IRI http://purl.obolibrary.org/obo/MOLSIM_001016
Description

This term refers to the analysis of the profile (shape, width, structure) of absorption or emission bands in electronic spectra, going beyond just the peak location. The band shape contains detailed information about factors influencing the electronic transition, such as coupling to vibrations (vibronic coupling) and interactions with the molecular environment. Analyzing the band shape provides deeper insights into the molecule's structure and dynamics upon electronic excitation. (UNVERIFIED)

Sub Class Of electronic spectroscopy c

determination by p-value analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000503
Description

A common specific method for linear correlation significance determination (and statistical testing in general) that involves calculating a probability value, the p-value. The p-value represents the probability of observing the calculated correlation, or a stronger one, assuming that there is actually no real correlation (the null hypothesis). A small p-value (typically below a threshold like 0.05) leads to the conclusion that the observed correlation is statistically significant and unlikely due to chance (UNVERIFIED).

Sub Class Of statistical analysis c

Levenberg-Marquardt algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001710
Description

The Levenberg-Marquardt algorithm is an optimization algorithm used to solve non-linear least squares problems. It adaptively switches between the Gauss-Newton method and the method of gradient descent, making it robust and efficient. In biomolecular simulation, it is often used in the context of force field parameterization, where it can fit parameters to reproduce experimental or quantum mechanical data. (UNVERIFIED)

Sub Class Of optimization algorithm c

correlation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000342
Description

Correlation analysis, in the context of dynamics analysis, involves methods that quantify the statistical relationship between different fluctuating quantities observed in a simulation. This can include measuring how a property correlates with itself over time (autocorrelation) or how two different properties fluctuate together or in opposition (cross-correlation). These analyses reveal connections and timescales in molecular motions. (UNVERIFIED)

Sub Class Of
Super Class Of

protein database ID c

IRI http://purl.obolibrary.org/obo/MOLSIM_000448
Description

A protein database ID is a unique alphanumeric code assigned to each entry in a public protein structure or sequence database, such as the Protein Data Bank (PDB ID, e.g., '1TIM') or UniProt (accession number, e.g., 'P00761'). These identifiers serve as the standard way to reference and retrieve specific protein structures or sequence information.

Sub Class Of identifier c
Super Class Of

Gaussian accelerated molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000396
Description

Gaussian accelerated molecular dynamics (GaMD) is an enhanced sampling method that speeds up simulations by adding a boost potential that has a Gaussian distribution. This method smooths the potential energy surface, allowing the system to more easily escape from local energy minima. For experts, GaMD is a robust method that does not require predefined collective variables and allows for the accurate recovery of the original free energy landscape through cumulant expansion. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of

sum of cosines of dihedrals collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001836
Description

This is a collective variable created by summing the cosine values of several different dihedral angles within a molecule. This mathematical combination creates a smooth, continuous variable that describes the collective rotational state of multiple bonds at once. It is often used in enhanced sampling methods to create a simplified coordinate that captures a complex, multi-dimensional conformational change. (UNVERIFIED)

Sub Class Of torsion collective variable c

r-RESPA integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_001723
Description

The r-RESPA integrator is a specific and widely used implementation of a multiple time-stepping algorithm. The name stands for reversible Reference System Propagator Algorithm, and it carefully separates the forces into different classes that are updated at different frequencies. For experts, r-RESPA is a powerful technique for accelerating simulations by allowing a larger overall time step while maintaining numerical stability and energy conservation. (UNVERIFIED)

Sub Class Of multiple time-stepping algorithm c

SPC/E-b c

IRI http://purl.obolibrary.org/obo/MOLSIM_001489
Description

SPC/E-b is a specific three-site water model that is a refinement of the widely used SPC/E model. The "-b" indicates that its parameters were further optimized to better reproduce the experimental density of water across a range of temperatures. For experts, this model offers a computationally efficient option that provides improved accuracy for properties dependent on the correct system density. (UNVERIFIED)

Sub Class Of water model force field c

pattern dihedral collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001839
Description

A complex collective variable that measures how well a set of dihedral angles in a molecule matches a predefined target pattern. It is defined by a list of specific dihedral angles and their target values, and the variable calculates a single value representing the overall similarity to that target conformation. This type of variable is a powerful tool for biasing a simulation to adopt a specific secondary structure or for tracking the formation of a known structural motif. (UNVERIFIED)

Sub Class Of torsion collective variable c

cluster silhouette c

IRI http://purl.obolibrary.org/obo/MOLSIM_001420
Description

A specific clustering quality metric that measures how similar an object is to its own cluster compared to other clusters. The cluster silhouette score ranges from -1 to 1, where a high value indicates that the object is well matched to its own cluster and poorly matched to neighboring clusters. It is a powerful tool for assessing the quality of a clustering result. This is a standard metric in cluster analysis. (UNVERIFIED)

Sub Class Of clustering quality metric c

PACKMOL-Memgen c

IRI http://purl.obolibrary.org/obo/MOLSIM_000226
Description

A specific tool or script that likely utilizes the general packing capabilities of PACKMOL (a program for creating initial configurations of molecules in defined regions) specifically for generating lipid bilayer structures for membrane simulations. Memgen might refer to a set of routines or scripts that work with PACKMOL to arrange lipids correctly around a pre-positioned membrane protein or to build pure bilayers with specific properties, automating the membrane generation process. (UNVERIFIED)

Sub Class Of membrane packing tool c

TIP3P-FB c

IRI http://purl.obolibrary.org/obo/MOLSIM_001490
Description

TIP3P-FB is a three-site rigid water model that is a "force-balanced" version of the original TIP3P model. Its parameters were systematically re-optimized to simultaneously reproduce a wider range of experimental properties of liquid water, including structural, thermodynamic, and dynamic data. For researchers, it represents an attempt to create a more physically accurate three-site model while retaining computational efficiency. (UNVERIFIED)

Sub Class Of water model force field c

integration analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000340
Description

A class of mathematical techniques specifically used in molecular dynamics simulations to numerically solve the equations of motion governing particle movement. These algorithms approximate the positions and velocities of atoms at future discrete time steps based on the forces acting upon them at the current step. They are fundamental for generating the trajectory of the molecular system over time (UNVERIFIED).

Sub Class Of mathematical analysis c
Super Class Of numerical integration c

Q-Chem output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000889
Description

The Q-Chem output file (.out, .qcout) is the primary text output generated by the Q-Chem quantum chemistry program. It contains the results corresponding to the specifications in the input file, including details on the method and basis set used, convergence information for SCF and geometry optimization, final electronic energies, molecular orbital information, various calculated properties (charges, dipole moments), and potentially vibrational analysis results. A summary section often highlights key computed values. (UNVERIFIED)

Sub Class Of simulation log format c

Ahlrichs pvDZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000577
Description

Ahlrichs pvDZ likely stands for a polarized valence Double-Zeta basis set from the Ahlrichs group. This typically implies a basis set where core electrons might be treated minimally or with few functions, valence electrons are described by two functions per orbital (DZ), and polarization functions ('p') are included (e.g., d-functions on heavy atoms, p-functions on hydrogen). Examples include the DZP or the more modern def2-SVP basis sets from the Ahlrichs school. (UNVERIFIED) (...)

Sub Class Of split-valence c

Hamiltonian replica exchange c

IRI http://purl.obolibrary.org/obo/MOLSIM_000293
Description

Hamiltonian Replica Exchange Molecular Dynamics (H-REMD), when applied to TI, involves running multiple simulations (replicas) in parallel, each simulation corresponding to a different intermediate λ value (and thus a different Hamiltonian) along the alchemical transformation path. Periodically, attempts are made to swap the λ values between replicas based on a Metropolis-like acceptance criterion dependent on the energy difference. This enhances sampling by allowing configurations to explore different Hamiltonians, potentially accelerating convergence especially at challenging intermediate λ points. (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

smooth PME algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001999
Description

An enhanced version of the Particle Mesh Ewald method that uses Euler exponential splines (B-splines) to interpolate charge density onto a grid. Unlike standard PME which uses Lagrangian interpolation, SPME allows the potential to be differentiated analytically to obtain forces, improving energy conservation and accuracy. For experts, this is the standard implementation in packages like AMBER and GROMACS (Essmann et al., 1995), offering N log N scaling. (UNVERIFIED)

Sub Class Of particle mesh Ewald c

radian based unit c

IRI http://purl.obolibrary.org/obo/UO_1000123
Sub Class Of plane angle unit c
Super Class Of radian c

quantum interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000623
Description

Interactions whose accurate description requires explicitly considering the principles of quantum mechanics, such as electron wave functions, quantization of energy levels, electron exchange and correlation, spin, and tunneling, which are not captured by the classical physics framework underlying standard molecular mechanics force fields. Simulating these interactions typically requires quantum chemical methods (like Density Functional Theory or ab initio methods) or hybrid QM/MM approaches. These are important for modeling chemical reactions (bond breaking/formation), electronic excitations (photochemistry), electron transfer, and some spectroscopic phenomena. (UNVERIFIED)

Sub Class Of interaction type c
Super Class Of spin effect* c

LANL2-[6s4p4d2f] c

IRI http://purl.obolibrary.org/obo/MOLSIM_000514
Description

This notation likely refers to a specific basis set combination utilizing the Los Alamos LANL2 effective core potential (ECP) for core electrons. The "[6s4p4d2f]" part specifies a large, custom valence basis set for the outer electrons, explicitly containing 6 s-type, 4 p-type, 4 d-type, and 2 f-type basis functions. Such explicit notation usually indicates a non-standard or research-specific valence basis designed for high accuracy on heavy elements. (UNVERIFIED) (...)

Sub Class Of split-valence c

Jaguar c

IRI http://purl.obolibrary.org/obo/MOLSIM_000783
Description

A high-performance quantum chemistry software package, part of the Schrödinger Materials Science Suite, known for its speed and accuracy, particularly for DFT calculations. It also offers ab initio methods (like LMP2) and QM/MM capabilities. Jaguar is often used in drug discovery contexts for tasks requiring high-quality QM calculations, such as reaction modeling, property prediction, and parameterization. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

propeller twist c

IRI http://purl.obolibrary.org/obo/MOLSIM_001364
Description

A base pair parameter that describes the rotation of the two bases relative to each other around an axis connecting their glycosidic bonds. This propeller twist optimizes stacking with adjacent base pairs but can strain hydrogen bonds. It is a key determinant of helix stability and groove dimensions. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair parameter c

backbone-side chain hydrogen bonds c

IRI http://purl.obolibrary.org/obo/MOLSIM_000192
Description

Hydrogen bonds formed specifically between an atom on the polypeptide backbone (either the amide N-H donor or the carbonyl C=O acceptor) and an atom within an amino acid side chain (acting as acceptor or donor, respectively). These interactions directly link the regular backbone structure to the specific side chain identities and conformations, playing crucial roles in stabilizing protein folds (tertiary structure) and positioning side chains for function (e.g., in active sites). They are a subset of both backbone and side-chain interactions considered broadly. (UNVERIFIED)

Sub Class Of hydrogen bond c

drude oscillator c

IRI http://purl.obolibrary.org/obo/MOLSIM_001533
Description

A Drude oscillator is a computational tool used in advanced force fields to mimic how a molecule's electron cloud gets distorted. It consists of a small, charged "Drude particle" attached by a spring to its parent atom, which can move in response to the local electric field. This simple mechanical model allows classical simulations to capture the important physical effect of electronic polarizability with high efficiency. (UNVERIFIED)

Sub Class Of polarizable force field parameter c

AMBER c

IRI http://purl.obolibrary.org/obo/MOLSIM_000217
Description

A widely used package of biomolecular simulation software, encompassing both a suite of programs (AmberTools) for simulation preparation, analysis, and modeling, and a high-performance simulation engine (pmemd) for running MD and free energy calculations. AMBER is associated with a popular family of force fields (e.g., ff14SB, GAFF) and is extensively used for simulating proteins, nucleic acids, lipids, and organic molecules. It includes capabilities for classical MD, QM/MM, and various advanced simulation techniques. (UNVERIFIED)

Sub Class Of software suite c

additive force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001483
Description

An additive force field is the most common type of force field, where the total potential energy of the system is calculated as a simple sum of individual energy terms for bonds, angles, and non-bonded interactions. This model assumes that the electrostatic properties, like atomic charges, are fixed and do not change in response to the environment. The simplicity and computational efficiency of additive force fields have made them the standard for the vast majority of large-scale biomolecular simulations. (UNVERIFIED)

Sub Class Of force field c

adaptive solvent QM/MM c

IRI http://purl.obolibrary.org/obo/MOLSIM_000484
Description

Adaptive solvent QM/MM is a multiscale simulation method where solvent molecules, like water, are allowed to move freely between the classical MM region and a buffer zone around the high-accuracy QM region. This allows the solvation shell of the reactive site to be treated with a flexible and adaptive level of theory. For experts, this method provides a more accurate description of solvent effects in QM/MM simulations of reactions in solution. (UNVERIFIED)

Sub Class Of QM/MM simulation c
Super Class Of difference-based adaptive solvation QM/MM c

lipid21 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000018
Description

A specific version of a lipid force field, part of the AMBER family, providing parameters optimized for simulating lipids. Released around 2021, it incorporates updates and refinements based on contemporary data and methodologies to improve accuracy in membrane simulations. Its name indicates the originating group (AMBER) and year of major update. (UNVERIFIED)

Sub Class Of lipid force field c

length unit c

IRI http://purl.obolibrary.org/obo/UO_0000001
Description

A unit which is a standard measure of the distance between two points.

Sub Class Of
Super Class Of

NMR analysis parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001290
Description

A type of analysis parameter that controls the analysis of simulation data to generate properties that can be compared with Nuclear Magnetic Resonance (NMR) experiments. These parameters define the settings for calculating NMR-related observables from a trajectory. The NMR analysis parameter settings are crucial for validating simulations against experimental data. These are often set in the input file for an NMR analysis program. (UNVERIFIED)

Sub Class Of analysis parameter c
Super Class Of R6 averaged distance c

GBn implicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001510
Description

The GBn implicit solvent model, where 'n' stands for 'neck', refers to a family of Generalized Born models that incorporate corrections to improve the accuracy of the effective Born radii calculation. These corrections are designed to better handle the geometry of crevices and "neck" regions between fused atomic spheres. For experts, the GBn models represent a series of refinements to the underlying GB theory to achieve better agreement with experimental or Poisson-Boltzmann solvation energies. (UNVERIFIED)

Sub Class Of generalized Born implicit solvent model c

molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000843
Description

Molecular dynamics (MD) is a computer simulation technique used to study the physical movement of atoms and molecules over time. It calculates the forces between particles using an empirical potential energy function (force field) and then integrates Newton's equations of motion numerically to simulate how the positions and velocities evolve in small time steps. MD simulations provide detailed information about the dynamic behavior, conformational changes, and thermodynamics of molecular systems. (UNVERIFIED)

Sub Class Of simulation method c
Super Class Of

barostat coupling constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001182
Description

A pressure control parameter that defines the time constant for pressure relaxation in algorithms like the Berendsen barostat. A smaller value results in tighter, more aggressive pressure coupling. The barostat coupling constant is a key parameter for tuning the barostat's behavior during equilibration. This is often set with the keyword taup. (UNVERIFIED)

Sub Class Of pressure control parameter c

kinetic map analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000649
Description

Kinetic map analysis is a method used to visualize the network of transitions between different conformational states that a molecule visits during a simulation. It represents the molecular states as nodes and the transitions between them as connections, often colored or weighted by their probability or rate. This provides a clear and intuitive map of the dominant pathways for conformational change, helping to understand the mechanism and timescales of processes like ligand binding or protein folding. (UNVERIFIED)

Sub Class Of dynamics analysis c

TIP4P-Ew c

IRI http://purl.obolibrary.org/obo/MOLSIM_000764
Description

A specific variant of the TIP4P water model, optimized for use with Ewald summation methods for calculating long-range electrostatic interactions, which are standard in modern simulations with periodic boundary conditions. The parameters are adjusted to provide good agreement with experimental properties of liquid water (like density, enthalpy of vaporization) under typical simulation conditions (room temperature and pressure). It is a popular choice for biomolecular simulations. (UNVERIFIED)

Sub Class Of water model force field c

kilocalorie per mole c

IRI http://purl.obolibrary.org/obo/MOLSIM_010004
Description

A unit of energy per amount of substance, defined as one kilocalorie of energy (1000 thermochemical gram calories) per one mole of substance. It is commonly used in chemistry and biology for thermodynamic quantities.

Sub Class Of energy unit c

MPI c

IRI http://purl.obolibrary.org/obo/MOLSIM_001676
Description

The Message Passing Interface (MPI) is a standardized and portable specification for writing parallel programs that run on distributed memory systems, such as computer clusters. It defines a library of functions for sending and receiving messages between processes, allowing them to coordinate and share data. For biomolecular simulation engines, MPI is the fundamental communication protocol that enables them to scale efficiently across hundreds or thousands of processor cores. (UNVERIFIED)

Sub Class Of application programming interface c

computational method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000140
Description

A computational method is a procedure that uses computers to study a scientific problem. As a type of method, it encompasses the specific set of calculations and theoretical models used to simulate molecular behavior or analyze resulting data, distinct from experimental or purely theoretical approaches. These methods are defined by their underlying algorithms and the parameters specified in input files, such as an AMBER mdin or GROMACS mdp file. This is a high-level concept, often found in methods sections of papers as "computational methods," "in silico approach," or "simulation protocol." (UNVERIFIED)

Sub Class Of method c
Super Class Of

coordinate rotation modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000941
Description

A coordinate rotation method is a structure modification method that applies a mathematical rotation to the coordinates of a molecule or a group of atoms. This procedure changes the orientation of the selected atoms in three-dimensional space without altering their internal structure. For experts, this is a fundamental operation used in structural alignment, docking algorithms, and for setting up systems in a specific orientation. (UNVERIFIED)

Sub Class Of modeling method c

CHARMM 22 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000751
Description

An all-atom force field parameter set from the CHARMM family, widely used for protein simulations, often paired with the CMAP (Cross-term energy Correction Map) correction for backbone torsions. Released before CHARMM27 and CHARMM36, it represented a standard for many years. Parameterization relied heavily on fitting to experimental data available at the time. (UNVERIFIED)

Sub Class Of protein force field c

trace gradient extremal analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000589
Description

A specific computational technique sometimes used in pathway analysis to find reaction paths or other significant paths on a potential energy surface by following trajectories associated with gradient extremals. This approach can potentially identify pathways connecting different energy minima without necessarily locating the transition states first. It serves as an alternative method for exploring the connections within a complex energy landscape. (UNVERIFIED)

Sub Class Of pathway analysis c

coarse-grained molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000475
Description

Coarse-grained molecular dynamics (CG-MD) is a simulation method where groups of atoms are represented by single, simplified interaction sites or "beads." This reduction in the number of particles significantly decreases computational cost, allowing simulations of much larger molecular systems or for much longer timescales compared to all-atom simulations. However, this gain in efficiency comes at the cost of losing fine-grained atomistic detail. (UNVERIFIED)

Sub Class Of simulation type c
Super Class Of

atom interaction count c

IRI http://purl.obolibrary.org/obo/MOLSIM_001430
Description

A type of miscellaneous descriptor that specifies the number of interactions, such as hydrogen bonds or close contacts, involving a specific atom or group of atoms. The atom interaction count is often averaged over a simulation trajectory. It helps to quantify the interaction environment of particular atoms or groups. This is a common output of structural analysis scripts. (UNVERIFIED)

Sub Class Of miscellaneous descriptor c

Monte Carlo barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000041
Description

A barostat algorithm where trial changes to the simulation box volume are attempted periodically during a molecular dynamics simulation using a Monte Carlo acceptance criterion. Accepted moves rescale the box dimensions and particle coordinates. This method correctly samples the NPT ensemble but can be less efficient than continuous barostats for large volume fluctuations (UNVERIFIED).

Sub Class Of barostat algorithm c

simulation and modeling software c

IRI http://purl.obolibrary.org/obo/MOLSIM_000158
Description

Simulation and modeling software comprises specialized computer programs designed to create, run, and analyze computational models of real-world systems. These tools are the workhorses of the biomolecular simulation field, enabling scientists to study everything from how a drug binds to a protein to how a cell membrane behaves. For practitioners, this category includes the specific simulation engines, structure preparation tools, and analysis packages that form the core of their computational workflows. (UNVERIFIED)

Sub Class Of software c
Super Class Of

Treecode algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001724
Description

A treecode algorithm is an efficient method for calculating long-range forces, like electrostatic or gravitational interactions, in a system of many particles. It works by organizing particles into a hierarchical tree structure and then approximating the force from a distant group of particles as a single interaction with their center of mass. While widely used in astrophysics, in biomolecular simulation this method is an alternative to Ewald-based methods for non-periodic systems or for the real-space part of other algorithms, offering a different approach to reducing the computational cost of force calculations. (UNVERIFIED)

Sub Class Of force calculation algorithm c

Psi4 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000177
Description

An open-source suite of quantum chemistry software specializing in high-accuracy ab initio methods (like coupled cluster and symmetry-adapted perturbation theory) alongside standard methods like HF and DFT. Psi4 is known for its modern codebase (Python and C++), user-friendly input, extensive libraries, and focus on accuracy and efficient algorithms for correlated wavefunction calculations. It's increasingly popular in the academic community for demanding electronic structure calculations. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

dimensionality reduction technique analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000120
Description

Dimensionality reduction techniques are mathematical methods used to transform high-dimensional data, like the coordinates of all atoms in a simulation trajectory, into a lower-dimensional representation while retaining the most important features or variance. This simplifies visualization, analysis, and interpretation of complex datasets common in molecular simulations. Principal Component Analysis (PCA) is a widely used example. (UNVERIFIED)

Sub Class Of statistical analysis c
Super Class Of

aug-cc-pwCVDZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000566
Description

The aug-cc-pwCVDZ basis set combines augmentation with diffuse functions ('aug-') with the 'weighted' core-valence correlation-consistent double-zeta basis ('-pwCVDZ'). The 'pwCV' indicates that the core functions are specifically optimized with a weighting scheme to better recover core-valence correlation energy compared to standard CV sets. This basis aims for improved core-valence effects while also describing diffuse density at the DZ level. (UNVERIFIED)

Sub Class Of split-valence c

generic protonation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000223
Description

A protonation tool designed for general use on biomolecular structures, typically proteins or nucleic acids obtained from sources like the PDB, to add hydrogens and determine appropriate protonation states for titratable residues at a given pH. These tools often focus on standard amino acids and sometimes common cofactors or ions. PDB2PQR is a classic example of such a tool. (UNVERIFIED)

Sub Class Of protonation tool c
Super Class Of

locally enhanced sampling energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001313
Description

A component of the system's energy that represents the total energy contributed by the multiple, non-interacting copies of a specific region in a Locally Enhanced Sampling (LES) simulation. This term is unique to LES simulations and reflects the energy of the replicated part of the system. The locally enhanced sampling energy is a key diagnostic for ensuring the stability of an LES simulation. It is reported in the log file as les energy. (UNVERIFIED)

Sub Class Of energy c

aug-cc-pwCVQZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000568
Description

The aug-cc-pwCVQZ basis set combines augmentation ('aug-') with the weighted core-valence quadruple-zeta basis ('-pwCVQZ'). This large basis set is designed for high-accuracy calculations needing to capture weighted core-valence correlation effects precisely while simultaneously describing diffuse electron density accurately at the QZ level. (UNVERIFIED)

Sub Class Of split-valence c

Laplacian mapping ion placement analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000360
Description

A computational method for placing ions, like sodium or chloride, into a simulation box containing a charged molecule like a protein. It works by calculating the electrostatic potential around the molecule and then using a mathematical operator, the Laplacian, to identify the most electrostatically favorable positions for the ions to be placed. This approach is more physically realistic than simply placing ions randomly, as it positions them in regions where they are most likely to be found, such as near oppositely charged amino acid residues. (UNVERIFIED)

Sub Class Of ion placement analysis c

Lennard-Jones parameters c

IRI http://purl.obolibrary.org/obo/MOLSIM_001515
Description

Lennard-Jones parameters are the two numerical values, epsilon and sigma, that define the van der Waals interaction for a specific atom type in a force field. The sigma parameter defines the size of the atom, or the distance at which the interaction energy is zero, while the epsilon parameter defines the depth of the energy well, or the strength of the attraction. For experts, these parameters are fundamental to the non-bonded part of the force field and are critical for modeling molecular packing and dispersion forces. (UNVERIFIED)

Sub Class Of force field component c
Super Class Of

Xoshiro128++ random number generator algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001704
Description

Xoshiro128++ is a state-of-the-art pseudo-random number generator algorithm known for its excellent speed and strong statistical properties. It is part of a family of generators based on shift-register operations, making it very fast on modern computer architectures. For demanding simulation applications, Xoshiro128++ is a top-tier choice for generating high-quality random numbers with minimal performance impact. (UNVERIFIED)

Sub Class Of random number generator algorithm c

normal mode analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000278
Description

Normal Mode Analysis (NMA) calculates the fundamental vibrational modes and frequencies of a molecule based on harmonic oscillations around a single energy minimum structure. It involves calculating the Hessian matrix (second derivatives of potential energy with respect to coordinates) at the minimum and diagonalizing it. The resulting eigenvectors represent the collective vibrational modes (normal modes), and the eigenvalues are related to their frequencies, which can be used to estimate vibrational entropy. (UNVERIFIED)

Sub Class Of enthropic contributions mode analysis c

GAFFLipid c

IRI http://purl.obolibrary.org/obo/MOLSIM_001450
Description

GAFFLipid is a force field for simulating a wide variety of lipid molecules, built upon the principles of the General Amber Force Field (GAFF). It uses the GAFF atom typing and parameterization strategy to automatically generate parameters for lipids that are not covered by specialized lipid force fields like LIPID17. This makes it a versatile tool for modeling novel or unusual lipid species in membrane simulations. (UNVERIFIED)

Sub Class Of lipid force field c

cc-pV5Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000525
Description

The cc-pV5Z (correlation-consistent polarized Valence Quintuple-Zeta) basis set represents a very large basis set with five functions per valence orbital and extensive polarization functions (up to h-type). It is designed for highly accurate benchmark calculations aiming to get extremely close to the complete basis set limit for electron correlation energies. Its use is typically limited to small molecular systems due to significant computational expense. (UNVERIFIED)

Sub Class Of split-valence c

PUPIL c

IRI http://purl.obolibrary.org/obo/MOLSIM_001597
Description

PUPIL is a software framework that helps to connect different simulation programs together to perform complex, multi-scale simulations. It acts as a "middle-man" or an interoperability layer, managing the communication and data exchange between, for example, a quantum mechanics program and a classical molecular mechanics program. This allows researchers to build complex QM/MM or other multi-scale workflows by coupling different, specialized simulation engines. (UNVERIFIED)

Sub Class Of framework c

trj format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001039
Description
  • The .trj format belongs to a family of older Amber text-based trajectory formats. Its role is best understood in comparison to its relatives:

    vs. .mdcrd: The .trj and .mdcrd formats are functionally identical. Both are safe, relatively unambiguous choices for storing Amber ASCII trajectories. A file with one extension can often be renamed to the other without causing issues in analysis software.

    vs. .crd: The .crd extension is highly ambiguous and problematic. It is the native format for the CHARMM simulation package and is interpreted as such by default in many tools. Using .trj avoids this critical format conflict.

    vs. .nc (NetCDF): The NetCDF format is the modern, binary, and recommended format for Amber trajectories. Compared to .trj, NetCDF (.nc) files are smaller, faster to read/write, and store data with higher precision. The .trj format is considered a legacy option.

  • The .trj format is an ASCII (text-based) trajectory file format used by the Amber molecular dynamics software suite and other analysis programs. Its fundamental purpose is to store a time-series of atomic coordinates, capturing the dynamic motion of a system during a simulation. The file contains sequential "frames," where each frame is a complete set of X, Y, and Z coordinates for every atom in the system at a specific point in time. It can also store periodic box dimensions, although this capability is sometimes limited. .trj files are used for post-simulation analysis, such as calculating properties over time, analyzing conformational changes, and creating visualizations or movies of molecular motion. (UNVERIFIED)

Sub Class Of molecular trajectory format c

post-translational modification c

IRI http://purl.obolibrary.org/obo/MOLSIM_001775
Description

A post-translational modification is a chemical change that happens to a protein after it has been made, which can switch its function on or off. It refers to the covalent attachment of a functional group, such as a phosphate or a sugar chain, to an amino acid residue, or the enzymatic cleavage of the protein backbone. Accurately modeling these modifications in a simulation is crucial for understanding many aspects of cell signaling and regulation, and it often requires specialized force field parameters. (UNVERIFIED)

Sub Class Of model c
Super Class Of

correlation function c

IRI http://purl.obolibrary.org/obo/MOLSIM_001421
Description

A type of statistical property that describes the statistical correlation between random variables at two different points in space or time. In simulations, these functions are used to analyze the time-dependent behavior of the system. They are a fundamental tool for connecting simulation data to experimental observables. These are the primary outputs of time-series analysis. (UNVERIFIED)

Sub Class Of statistical property c
Super Class Of

auto-correlation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000341
Description

Auto-correlation analysis examines the correlation of a time series (a sequence of data points ordered in time, e.g., from a simulation) with lagged versions of itself. It helps identify repeating patterns, seasonality, or the characteristic timescale (memory) over which values in the series are statistically dependent. The primary output is the Auto-Correlation Function (ACF). (UNVERIFIED)

Sub Class Of correlation analysis c
Super Class Of auto-correlation coefficients analysis c

small angle x-ray scattering c

IRI http://purl.obolibrary.org/obo/MOLSIM_000350
Description

Small-angle X-ray scattering (SAXS) is an experimental technique that provides information about the overall size and shape of molecules as they exist in solution. It works by measuring the pattern of X-rays scattered at very small angles by a sample, which is sensitive to the molecule's global structure. This low-resolution experimental data is extremely valuable for validating the conformational ensembles generated by molecular dynamics simulations, ensuring they are consistent with the molecule's average shape in solution. (UNVERIFIED)

Sub Class Of small-angle scattering (SAS) c

PDB ID c

IRI http://purl.obolibrary.org/obo/MOLSIM_000686
Description

A PDB ID is the unique four-character alphanumeric code assigned to each experimentally determined biomolecular structure deposited in the Protein Data Bank (PDB). This identifier (e.g., '1TIM', '6M0J') serves as the standard way to reference and retrieve specific 3D structural data for proteins, nucleic acids, and their complexes. It allows researchers globally to unambiguously access the same structural entry. (UNVERIFIED)

Sub Class Of protein database ID c

Sparkle/AM1 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000825
Description

A modification of the AM1 semi-empirical method specifically parameterized to handle lanthanide elements (rare earth metals). Standard AM1 parameters are not available or reliable for these heavy elements, so Sparkle/AM1 replaces the core description of the lanthanide ion with a point charge dressed by Gaussian functions, adjusted to reproduce structural data. It enables AM1-level calculations on complexes containing lanthanides (UNVERIFIED).

Sub Class Of AM1 c

structural classification database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000705
Description

A secondary database that organizes known protein structures into a hierarchical classification based on their evolutionary relationships and structural similarities, such as folds and superfamilies. These classifications provide insights into protein architecture and evolution. SCOP and CATH are prominent examples. (UNVERIFIED)

Sub Class Of secondary database c

molar based unit c

IRI http://purl.obolibrary.org/obo/UO_1000062
Sub Class Of unit of molarity c
Super Class Of

MOPAC output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000887
Description

The MOPAC output file (.out) contains the results from a calculation performed by the MOPAC semi-empirical program. It typically includes an echo of the input keywords, details of geometry optimization steps (if performed), the final optimized geometry, the calculated heat of formation (ΔH f), ionization potential, dipole moment, and atomic charges. A summary section usually highlights the key results and timings. (UNVERIFIED)

Sub Class Of simulation log format c

Q-Chem c

IRI http://purl.obolibrary.org/obo/MOLSIM_000179
Description

A comprehensive quantum chemistry software package offering a wide range of methods, including Hartree-Fock, DFT, coupled-cluster, and QM/MM capabilities. Like Gaussian, its primary focus is quantum mechanical electronic structure calculations. While it can be used for QM/MM simulations relevant to biomolecular systems, it's not typically used for large-scale classical MD simulations in the way dedicated MD packages are. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

component cif c

IRI http://purl.obolibrary.org/obo/MOLSIM_001105
Description

A component CIF is a data file that acts like a dictionary entry, describing a single chemical building block found in larger biological molecules. It uses the standard Crystallographic Information File (CIF) format to define the atom names, chemical bonds, and ideal 3D coordinates for a specific residue or small molecule. The Protein Data Bank's Chemical Component Dictionary is a comprehensive collection of these files, making them essential for correctly interpreting and building complex molecular structures. (UNVERIFIED)

Sub Class Of molecular structure format c

build system tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001585
Description

A build system tool is a program that automates the process of compiling source code into an executable program and its associated libraries. It manages dependencies between different code files and ensures that all components are compiled in the correct order. For developers compiling simulation software, a build system tool like CMake is essential for managing the complexity of the source code and creating a runnable application. (UNVERIFIED)

Sub Class Of software development and management tool c
Super Class Of CMake c

helical density map visualization analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000359
Description

A helical density map is a visualization method used to represent the three-dimensional distribution of atoms within a helical structure, averaged over time from a simulation. It creates a 3D grid where the value at each point represents the probability of finding an atom, which can then be displayed as a contoured surface. This method is particularly useful for analyzing the average structure and packing of molecules like DNA or alpha-helical proteins. (UNVERIFIED)

Sub Class Of visualization analysis c

ParmPM3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001452
Description

This is a set of interaction rules for atoms in a molecule, similar to ParmAM1, but it is based on a different approximate quantum method called PM3. It is a force field parameter set where the bonded parameters are derived to be consistent with the PM3 semi-empirical quantum mechanical Hamiltonian. The choice between ParmAM1 and ParmPM3 depends on which semi-empirical method provides a better description for the specific class of molecules being studied. (UNVERIFIED)

Sub Class Of organic molecule force field c

wavefunction model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001778
Description

A wavefunction model is the specific mathematical approach used in a quantum chemistry calculation to describe the behavior of electrons in a molecule. It refers to the specific form of the many-electron wavefunction being solved for, such as a single-determinant model for simple cases or a multi-configurational model for more complex electronic structures. The choice of wavefunction model, along with the basis set, defines the "level of theory" and is the primary determinant of the accuracy and computational cost of an ab initio quantum mechanical calculation. (UNVERIFIED)

Sub Class Of QM/MM model component c
Super Class Of

dual-topology approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000289
Description

The dual-topology approach in alchemical free energy calculations (including TI) represents both the initial (A) and final (B) states of a transformation simultaneously within the system's topology description, often used when atoms appear or disappear. The coupling parameter λ controls the interaction strength of A-specific atoms (strong at λ=0, weak/absent at λ=1) and B-specific atoms (weak/absent at λ=0, strong at λ=1), while shared atoms remain fully interacting. This avoids issues with changing atom types directly but increases system size slightly. (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

MDrepo c

IRI http://purl.obolibrary.org/obo/MOLSIM_001950
Description

MDRepo is a public repository dedicated to the archival and sharing of molecular dynamics simulation data generated by the research community. It provides a standardized infrastructure for scientists to upload, store, and retrieve simulation trajectories and associated metadata. By centralizing access to these datasets, MDRepo promotes the reproducibility and secondary analysis of biomolecular simulations. (UNVERIFIED)

Sub Class Of database web server c

electron microscopy database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000694
Description

A structural database that archives 3D maps and associated metadata derived from electron microscopy experiments, particularly cryo-electron microscopy (cryo-EM), which is used to determine the structure of large biomolecular assemblies. It complements X-ray crystallography and NMR databases by providing structural information for systems often intractable by other methods. The Electron Microscopy Data Bank (EMDB) is the main repository. (UNVERIFIED)

Sub Class Of structural database c

SQM c

IRI http://purl.obolibrary.org/obo/MOLSIM_001580
Description

SQM is a quantum chemistry program included in the AmberTools software suite that performs fast, approximate calculations using semi-empirical methods like DFTB. Its primary role within the AMBER ecosystem is to calculate the electrostatic potential needed for generating atomic partial charges for new or non-standard molecules. It also serves as the default quantum mechanical engine for running QM/MM simulations with the sander program. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

mdout format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000470
Description

A text-based log format generated by Amber's simulation engines that provides a detailed record of the simulation's progress. It contains energy components, thermodynamic properties, and performance timings printed at regular intervals. This format is essential for monitoring simulation stability and extracting averaged properties. (UNVERIFIED)

Sub Class Of simulation log format c

surface analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000584
Description

A form of reaction analysis focused on characterizing the features of the potential energy surface (PES), which maps the system's energy as a function of its atomic coordinates. This analysis identifies critical points like energy minima (stable states), saddle points (transition states), and intersections between surfaces that govern molecular stability and reactivity. It helps visualize the energetic landscape explored during reactions or conformational changes. (UNVERIFIED)

Sub Class Of reaction analysis c
Super Class Of

simulation state c

IRI http://purl.obolibrary.org/obo/MOLSIM_001083
Description

A simulation state is a complete snapshot of all the information needed to perfectly restart a simulation at a specific moment in time. This includes not only the positions of all atoms but also their velocities and any state variables from the thermostat or barostat. These states are saved in restart or checkpoint files to allow simulations to be continued or recovered. (UNVERIFIED)

Sub Class Of process output c

secondary structure assignment algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001745
Description

A secondary structure assignment algorithm is a computational procedure that identifies local structural motifs, such as alpha-helices and beta-sheets, within a protein. It analyzes the three-dimensional coordinates of the protein's backbone atoms to determine which residues participate in these common patterns. For experts, algorithms like DSSP are used to classify each amino acid based on its backbone dihedral angles and hydrogen-bonding patterns. (UNVERIFIED)

Sub Class Of analysis algorithm c
Super Class Of

opening c

IRI http://purl.obolibrary.org/obo/MOLSIM_001365
Description

A base pair parameter that describes the rotation of the two bases relative to each other around the axis perpendicular to the base pair plane. A non-zero opening angle measures the extent to which the hydrogen bonds are exposed to the solvent. It is associated with DNA "breathing" motions. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair parameter c

autocorrelation function c

IRI http://purl.obolibrary.org/obo/MOLSIM_001991
Description

A statistical tool that measures how much a property's value at one time resembles its value at a later time. It quantifies the "memory" of a system by calculating the correlation between a time-series signal and a time-shifted version of itself. For experts, calculated as C(t)=⟨A(0)A(t)⟩, it is fundamental for computing transport coefficients (like diffusion via Green-Kubo relations) and relaxation times. (UNVERIFIED)

Sub Class Of correlation function c

Miller indices (deprecated) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001759
Description
  • Marked for removal. See: https://github.com/CPCLab/molsim-ontology/issues/26

  • Miller indices are a set of three integers (h, k, l) that uniquely describe the orientation of a plane of atoms within a crystal lattice. These indices are determined from the positions of the spots in an X-ray diffraction pattern and are fundamental to crystallography. They are used to define the specific crystal faces and to calculate the theoretical diffraction pattern from a structural model. (UNVERIFIED)

Sub Class Of identifier c

OPC3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001491
Description

OPC3 is a modern, three-site rigid water model designed for high accuracy in biomolecular simulations. Its parameters were optimized using a novel strategy to reproduce a large set of experimental water properties with very high fidelity, outperforming many older three-site models. For simulation experts, OPC3 offers a computationally efficient option that provides accuracy for thermodynamic properties that is comparable to more complex four-site models. (UNVERIFIED)

Sub Class Of water model force field c

Cremer & Pople pucker analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000434
Description

The Cremer & Pople pucker analysis is a general and mathematically rigorous method for quantifying the conformation of any non-planar ring molecule. It defines a set of puckering coordinates, including a total puckering amplitude and a set of pseudorotational angles, that uniquely describe the ring's shape. For experts, this method provides a more general and complete description of ring conformation than other methods and is applicable to any ring size. (UNVERIFIED)

Sub Class Of pucker analysis c

minimization drms criterion c

IRI http://purl.obolibrary.org/obo/MOLSIM_001170
Description

A specific minimization convergence criteria based on the root-mean-square of the gradient, which represents the forces on the atoms. The minimization will stop when the RMS of the forces falls below this specified threshold. This is a common way to define convergence and is often set with the keyword drms. (UNVERIFIED)

Sub Class Of minimization convergence criteria c

I/r-RESPA integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_001730
Description

The I/r-RESPA integrator is a specialized multiple time-stepping algorithm designed for simulations that include polarizable force fields. The "I/r" refers to the separation of forces into long-range ("r") and short-range plus polarization ("I") components, which are updated at different frequencies. For experts, this method is essential for efficiently integrating the equations of motion in polarizable simulations, where the iterative calculation of induced dipoles adds significant computational cost. (UNVERIFIED)

Sub Class Of multiple time-stepping algorithm c

quantum mechanics algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001728
Description

A quantum mechanics algorithm is a computational procedure designed to solve the fundamental equations of quantum mechanics for a given molecular system. These algorithms are the core of quantum chemistry software and are used to calculate the electronic structure and energy of molecules. For experts, this includes the iterative Self-Consistent Field (SCF) procedure for solving the Hartree-Fock or Kohn-Sham equations. (UNVERIFIED)

Sub Class Of algorithm c
Super Class Of divide and conquer algorithm c

AutoDock Vina c

IRI http://purl.obolibrary.org/obo/MOLSIM_001959
Description

AutoDock Vina is an open-source software tool for molecular docking that predicts the preferred orientation and binding affinity of a small molecule to a protein receptor. It utilizes a sophisticated iterated local search global optimizer combined with an empirical scoring function to efficiently explore the conformational space of the ligand. For experts, Vina provides a substantial improvement in speed and accuracy over previous generations, making it a standard engine for high-throughput virtual screening in drug discovery. (UNVERIFIED)

Sub Class Of docking tool c

peptidic bond c

IRI http://purl.obolibrary.org/obo/MOLSIM_000193
Description

The specific type of covalent amide bond (CO−NH) formed between two consecutive amino acid residues in a peptide or protein chain through a dehydration reaction (loss of water). It links the alpha-carboxyl group (-COOH) of one amino acid to the alpha-amino group (-NH2) of the next, forming the repeating backbone structure (-N-C$\alpha$-C-) of the polypeptide chain. Due to resonance, the peptide bond has partial double-bond character, making it planar and restricting rotation around the C-N bond, which significantly influences protein conformation. (UNVERIFIED)

Sub Class Of covalent interaction c

aug-cc-pwCV5Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000569
Description

The aug-cc-pwCV5Z basis set adds diffuse functions ('aug-') to the weighted core-valence quintuple-zeta basis ('-pwCV5Z'). It is an extremely large basis set for benchmark calculations targeting near complete basis set accuracy for systems where both diffuse character and highly accurate weighted core-valence correlation contributions are critical. (UNVERIFIED)

Sub Class Of split-valence c

accuracy of ddG prediction metrics measurements analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000499
Description

This refers to specific metrics used to quantify how accurately computational methods predict relative binding free energies (ΔΔG bind) between pairs of ligands binding to a target, compared to experimental measurements. Common metrics include the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Pearson's correlation coefficient (r) between predicted and experimental values, and Kendall's tau (τ) rank correlation coefficient. These metrics assess the practical predictive performance of free energy calculation methods. (UNVERIFIED)

Sub Class Of hypothesis testing analysis c

system packing and solvation tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001956
Description

A system packing and solvation tool is a software utility used to define the simulation box geometry and fill it with solvent molecules and ions. It arranges molecular components within a defined volume to achieve a target density and concentration while preventing atomic overlaps. For experts, these tools are the primary means of generating disordered starting configurations for liquid-phase simulations and defining periodic boundary vectors. (UNVERIFIED)

Sub Class Of system setup tool c
Super Class Of

amber.sh c

IRI http://purl.obolibrary.org/obo/MOLSIM_000219
Description

This likely refers to a shell script used within the AMBER software ecosystem, possibly for setting up environment variables, running specific AmberTools programs, or launching simulations. It represents a specific script file used to execute or configure parts of the AMBER software suite. Its exact function would depend on the specific context or script content. (UNVERIFIED)

Sub Class Of utility script c

RMSD correlation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000943
Description
  • is it synonymous as "atomic correlation analysis"?

  • RMSD correlation, often visualized as a Dynamic Cross-Correlation Map (DCCM), measures the correlation between the displacement fluctuations of different atoms (or residues) around their average positions during a simulation. A high positive correlation between atoms i and j indicates they tend to move in the same direction, while negative correlation indicates movement in opposite directions. This analysis highlights regions of the molecule that exhibit concerted dynamic behavior. (UNVERIFIED)

Sub Class Of correlation analysis c

Glide c

IRI http://purl.obolibrary.org/obo/MOLSIM_002051
Description

Glide (Grid-based Ligand Docking with Energetics) is a commercial molecular docking program within the Schrödinger software suite. It uses a systematic, hierarchical search of positional, orientational, and conformational space followed by evaluation with an empirical scoring function (e.g., SP, XP). It is heavily utilized in industry for virtual screening and preparing complexes for Desmond MD simulations. (UNVERIFIED)

Sub Class Of docking tool c

CPPTRAJ standard output format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000593
Description
  • Typically with .dat extension, but could be using other file extension.

  • The CPPTRAJ standard output format is the default text-based format used by the cpptraj analysis program to write time-series data. This format typically consists of simple columns of numerical data, where the first column is the frame or time, and subsequent columns contain the calculated values for a given analysis command. While often saved with a .dat extension, this straightforward, space-delimited format is designed for easy parsing by plotting programs like Gnuplot or for import into data analysis software. (UNVERIFIED)

Sub Class Of simulation log format c

short range interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000059
Description

An interaction between particles where the force or potential energy decreases rapidly with increasing distance, becoming negligible beyond a certain range (typically a few molecular diameters). Van der Waals interactions (often modeled with Lennard-Jones potentials decaying as 1/(r^6) for attraction) are the primary example. These interactions can often be computationally truncated using a cutoff radius in simulations without significant loss of accuracy, improving efficiency. (UNVERIFIED)

Sub Class Of interaction type c

MolStar c

IRI http://purl.obolibrary.org/obo/MOLSIM_001933
Description

MolStar is a modern, web-based toolkit for visualizing and analyzing large-scale molecular data. It is designed for high-performance rendering of extremely large structures, such as those from cryo-electron microscopy, directly in a web browser. For the structural biology community, Mol* is the state-of-the-art viewer integrated into databases like the PDB for exploring complex biological assemblies. (UNVERIFIED)

Sub Class Of molecular structure visualization tool c

variational free energy profile analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000420
Description

A variational free energy profile method is a class of techniques for finding the minimum free energy path between two states. These methods work by optimizing a trial pathway to minimize a functional that represents the free energy, based on a variational principle. For experts, methods like the string method are a type of variational approach for identifying the most probable transition pathway and the associated free energy barrier. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

OBC implicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001509
Description

The OBC implicit solvent model, named after its developers Onufriev, Bashford, and Case, is a popular and well-validated parameterization of the Generalized Born (GB) model. It provides a specific set of equations and parameters for calculating the effective Born radii that yield good agreement with more computationally expensive Poisson-Boltzmann calculations. For AMBER users, the OBC model is one of the standard and most widely used options for performing implicit solvent simulations. (UNVERIFIED)

Sub Class Of generalized Born implicit solvent model c

OPEP 1 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000754
Description

Specific versions 1 of the OPEP (Optimized Potential for Efficient peptide structure Prediction) coarse-grained force field. OPEP represents each amino acid residue using multiple beads (typically backbone N, H, Cα, C, O and a side-chain bead), aiming to retain chemical specificity while gaining computational efficiency. The different versions likely represent successive refinements and parameter updates. (UNVERIFIED)

Sub Class Of protein force field c

lipid contact analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001869
Description

Lipid contact analysis is a membrane analysis method used to identify and quantify the interactions between lipid molecules and a protein embedded in the membrane. The analysis tracks which specific lipid molecules are in close contact with the protein over the course of a simulation. For experts, this method is crucial for identifying potential "hotspot" lipid binding sites on a membrane protein and understanding the composition of the annular lipid shell. (UNVERIFIED)

Sub Class Of membrane analysis c

speed/velocity unit c

IRI http://purl.obolibrary.org/obo/UO_0000060
Description

A unit which is a standard measure of the rate of movement. Speed is measured in the same physical units of measurement as velocity, but does not contain the element of direction that velocity has. Speed is thus the magnitude component of velocity.

Sub Class Of unit c
Super Class Of

kernel modified molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000435
Description

Kernel modified molecular dynamics is a simulation method where the forces are altered using a mathematical tool from machine learning called a kernel function. This modification can be used to create an adaptive potential that learns the shape of the energy landscape and helps the system to explore it more efficiently. This approach represents a modern strategy for enhancing sampling by using data-driven methods to guide the simulation. (UNVERIFIED)

Sub Class Of molecular dynamics c

GLYCAM residue name c

IRI http://purl.obolibrary.org/obo/MOLSIM_001754
Description

A GLYCAM residue name is a specific three- or four-letter code used by the GLYCAM force field to identify a particular sugar molecule. These names are highly specific, encoding not only the type of sugar but also its ring form (pyranose or furanose) and the orientation of key chemical groups. Using these precise names is required for the simulation software to correctly apply the specialized GLYCAM parameters when building a model of a carbohydrate or glycoprotein. (UNVERIFIED)

Sub Class Of residue name c

clustering distance cutoff c

IRI http://purl.obolibrary.org/obo/MOLSIM_001266
Description

A clustering parameter that specifies the distance threshold for grouping conformations into the same cluster. Two structures with a distance (e.g., RMSD) less than the clustering distance cutoff are considered to be in the same cluster. This is a key parameter for defining the granularity of the clustering. This is often set with the keyword epsilon or cutoff. (UNVERIFIED)

Sub Class Of clustering parameter c

OpenMP c

IRI http://purl.obolibrary.org/obo/MOLSIM_001677
Description

OpenMP is an application programming interface (API) that supports multi-platform shared-memory parallel programming in C, C++, and Fortran. It allows a programmer to instruct a program to run parts of its code in parallel across multiple processor cores on a single machine. In biomolecular simulation engines, OpenMP is used to parallelize computationally intensive loops, such as those in force calculations, to make efficient use of modern multi-core CPUs. (UNVERIFIED)

Sub Class Of application programming interface c

alignment tensor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001514
Description

An alignment tensor is a mathematical object that describes the degree and direction of the average orientation of molecules in a sample that is not perfectly random. In an NMR experiment, molecules can be weakly aligned by a magnetic field, and the alignment tensor quantifies this small but measurable preference in orientation. This tensor is crucial for interpreting experimental data like residual dipolar couplings (RDCs), which provide powerful long-range structural information. (UNVERIFIED)

Sub Class Of electronic property c

pathway analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000588
Description

A form of reaction analysis aimed at identifying and characterizing the sequence of intermediate states and transition states that connect reactants to products, effectively mapping the reaction pathway. This can involve exploring multiple possible routes, using algorithms to find minimum energy paths, or analyzing trajectories from reaction dynamics simulations. It provides a detailed step-by-step description of how a chemical or conformational transformation occurs. (UNVERIFIED)

Sub Class Of reaction analysis c
Super Class Of trace gradient extremal analysis c

B-factor c

IRI http://purl.obolibrary.org/obo/MOLSIM_001345
Description

A type of structural property that quantifies the positional fluctuation or displacement of an atom, representing its mobility. It is calculated from the mean-square fluctuations of atomic positions in a simulation and is analogous to the crystallographic B-factor or temperature factor. High B-factor values indicate regions of high flexibility. This value is often referred to as bfactor or B-factor. (UNVERIFIED)

Sub Class Of structural property c

M-SHAKE algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000795
Description

A modification of the SHAKE algorithm designed to handle constraints more efficiently in parallel computing environments. It addresses issues related to communication overhead when constraints span across different processors by optimizing the way constraint information is shared and processed. It aims to improve the scalability of constrained simulations on parallel machines (UNVERIFIED).

Sub Class Of constraint algorithm c

protonation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000005
Description

A specific step within the preparation process where the ionization states (presence or absence of protons) of ionizable residues (like acids, bases, histidines) and ligands are determined and assigned based on estimated pKa values relevant to the target pH of the simulation. Correct protonation is critical for accurately modeling electrostatic interactions and pH-dependent phenomena. Specialized tools are often used for this task. (UNVERIFIED)

Sub Class Of preparation c

match list preparation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001768
Description

This is a setup step in some advanced simulation or analysis workflows where a list is created to define a correspondence between atoms in two different molecules or structures. This "match list" is essential for methods like alchemical free energy calculations, where it specifies which atom in one molecule transforms into which atom in another. The correct preparation of this list is a critical and often manual step that defines the mapping for the entire transformation. (UNVERIFIED)

Sub Class Of preparation c

Jaccard index algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000082
Description

A similarity calculation method used for comparing two sets, defined as the size of the intersection divided by the size of the union of the sets. It is identical to the Tanimoto coefficient when applied to binary data (like molecular fingerprints). It provides a normalized measure of overlap between feature sets, ranging from 0 (no overlap) to 1 (identical sets) (UNVERIFIED).

Sub Class Of similarity calculation algorithm c

membrane width c

IRI http://purl.obolibrary.org/obo/MOLSIM_001875
Description

The membrane width is the thickness of a simulated cell membrane, measured from one side to the other. It is typically defined as the distance between the peaks in the density profile of the lipid headgroups or phosphate atoms on opposite sides of the bilayer. The membrane width is a key structural parameter that is monitored to confirm a simulation is properly equilibrated and is used to understand how membrane proteins match their hydrophobic length to the surrounding lipid environment. (UNVERIFIED)

Sub Class Of structural property c

canonical adiabatic free energy sampling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000847
Description

Canonical adiabatic free energy sampling refers to enhanced sampling strategies where system parameters or constraints are changed very slowly (adiabatically) during a simulation performed under constant NVT (canonical) conditions. The goal is to keep the system near equilibrium throughout the transformation, allowing free energy differences between the initial and final states to be calculated, often via thermodynamic integration. These methods are used for calculating binding free energies or exploring reaction pathways slowly. (UNVERIFIED)

Sub Class Of enhanced sampling c

AutoDock c

IRI http://purl.obolibrary.org/obo/MOLSIM_002049
Description

AutoDock is a suite of automated docking tools designed to predict how small molecules bind to a receptor of known 3D structure. Older than Vina, classic AutoDock (e.g., AutoDock 4) utilizes a Lamarckian genetic algorithm and a grid-based empirical scoring function. It remains widely used for generating starting poses for molecular dynamics simulations. (UNVERIFIED)

Sub Class Of docking tool c

center of mass distance collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001829
Description

A center of mass distance collective variable measures the separation between the centers of mass of two groups of atoms, such as two entire proteins or a protein and a ligand. This provides a robust measure of the distance between whole molecular bodies, averaging out the fast motions of individual atoms. It is commonly used as a reaction coordinate to study the binding and unbinding of molecular complexes. (UNVERIFIED)

Sub Class Of distance collective variable c

periodic boundary conditions c

IRI http://purl.obolibrary.org/obo/MOLSIM_001554
Description

Periodic boundary conditions are a computational technique used to simulate a small part of a large system, such as a protein in a box of water, without surface effects. The simulation box is treated as if it is surrounded by an infinite number of identical copies of itself, so a molecule leaving one side of the box instantly re-enters from the opposite side. This model is essential for realistically simulating the properties of a bulk material, like a liquid or a crystal, using a finite number of particles. (UNVERIFIED)

Sub Class Of model c

Uniprot ID c

IRI http://purl.obolibrary.org/obo/MOLSIM_000687
Description

A UniProt ID, more formally known as a UniProt Accession Number (e.g., 'P00761', 'Q8WZ42'), is the stable and unique identifier assigned to a protein sequence record in the UniProt Knowledgebase (UniProtKB). This ID provides access to comprehensive information about a protein, including its sequence, function, annotations, and cross-references to other databases. It serves as a primary key for protein sequence and functional data. (UNVERIFIED)

Sub Class Of protein database ID c

Langevin-piston barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000044
Description

A barostat algorithm that combines the extended Lagrangian approach (like Andersen or Parrinello-Rahman) with Langevin dynamics applied to the piston/box degrees of freedom. This introduces stochastic and frictional terms to the equation of motion for the box volume, helping to control pressure fluctuations and potentially improving sampling efficiency. It aims to provide robust pressure control while correctly sampling the NPT ensemble (UNVERIFIED).

Sub Class Of barostat algorithm c

analysis tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000164
Description

Software designed to process raw data generated from biomolecular simulations (like trajectories, energy files) to calculate specific quantitative properties and extract meaningful insights. Analysis tools implement algorithms for calculating metrics like RMSD, RMSF, radius of gyration, hydrogen bonds, interaction energies, principal components (PCA), free energy estimations (MM/PBSA), clustering, etc. Examples include cpptraj (AmberTools), GROMACS analysis utilities, MDAnalysis (Python library), and specialized scripts or programs. (UNVERIFIED)

Sub Class Of software c
Super Class Of

DFTB+ c

IRI http://purl.obolibrary.org/obo/MOLSIM_001595
Description

DFTB+ is a software package that performs fast, approximate quantum mechanical calculations using the Density Functional Tight Binding (DFTB) method. It is designed to handle very large molecular systems that are too computationally expensive for traditional Density Functional Theory. Because of its speed, DFTB+ is widely used for simulations in materials science, as well as for QM/MM simulations of chemical reactions in biological systems. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

ramachandran plot data c

IRI http://purl.obolibrary.org/obo/MOLSIM_000315
Description

Ramachandran plot data is a set of numbers representing the angles in a protein's backbone, which helps determine if its shape is realistic. As a type of structural property, this output_data_descriptor consists of the set of paired phi (φ) and psi (ψ) backbone dihedral angles for each residue in a protein structure. This raw data is the direct output of a Ramachandran analysis and is used to generate the corresponding 2D plot for validating the stereochemical quality of the protein backbone conformation. This data is often found in files with headers like "phi," "psi," "Ramachandran," or "dihedral angles." (UNVERIFIED)

Sub Class Of structural property c

empirical method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000841
Description

Empirical methods in computational chemistry and simulation rely on simplified energy functions with parameters derived from experimental data or more accurate quantum mechanical calculations, rather than solving fundamental quantum equations from first principles. Molecular mechanics (using force fields) is a prime example. These methods are computationally much faster than quantum mechanics, allowing simulation of larger systems, but their accuracy depends heavily on the quality of the parameterization. (UNVERIFIED)

Sub Class Of theoretical approach c
Super Class Of

Gaussian quadrature algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001714
Description

Gaussian quadrature is a powerful and highly accurate numerical integration algorithm. It approximates an integral by summing function values at a set of optimally chosen points, known as Gaussian nodes, multiplied by specific weights. For experts, this method is used in various high-level quantum chemistry calculations to achieve a high degree of accuracy with a relatively small number of function evaluations. (UNVERIFIED)

Sub Class Of numerical integration algorithm c

PLUMED c

IRI http://purl.obolibrary.org/obo/MOLSIM_001978
Description

PLUMED is an open-source software library designed to analyze molecular dynamics simulations and perform enhanced sampling of free energy landscapes. It functions as middleware that interfaces with various simulation engines to calculate collective variables and apply biasing potentials in real-time. For experts, it allows the implementation of methods like metadynamics or umbrella sampling by patching the host code to modify forces based on complex geometric functions. (UNVERIFIED)

Sub Class Of library c

pdb4amber c

IRI http://purl.obolibrary.org/obo/MOLSIM_001574
Description

The pdb4amber tool is a program specifically designed to clean and prepare protein data bank (PDB) structure files for use with the AMBER simulation software. It performs essential tasks such as renumbering residues, fixing atom naming inconsistencies, and identifying potential structural problems. For AMBER users, running pdb4amber is a critical first step to ensure that the molecular structure is correctly interpreted by the AMBER system-building tools. (UNVERIFIED)

Sub Class Of structure cleaning and manipulation tool c

orientation projection c

IRI http://purl.obolibrary.org/obo/MOLSIM_001354
Description

A specific type of orientation descriptor that represents the cosine of the angle of rotation between the current and reference positions. This value is often used in analyses of rotational correlation. This value is often reported as ORIENTATION_PROJ. (UNVERIFIED)

Sub Class Of orientation c

OPEP 4 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000757
Description

Specific versions 4 of the OPEP (Optimized Potential for Efficient peptide structure Prediction) coarse-grained force field. OPEP represents each amino acid residue using multiple beads (typically backbone N, H, Cα, C, O and a side-chain bead), aiming to retain chemical specificity while gaining computational efficiency. The different versions likely represent successive refinements and parameter updates. (UNVERIFIED)

Sub Class Of protein force field c

grid format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000596
Description

A file format for representing data that is distributed over a three-dimensional grid. Originating from the XPLOR-NIH software, it is used to store volumetric data like electron density or potential maps. This format is used in structural biology to visualize grid-based properties around a molecule. (UNVERIFIED)

Sub Class Of plot data format c

surface potential analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000633
Description

Surface potential analysis involves calculating a potential field, most commonly the electrostatic potential (ESP), and mapping its values onto a defined molecular surface, such as the van der Waals surface or an electron density isosurface. Visualizing the ESP distribution helps identify regions of positive and negative potential on the molecule's exterior. This analysis is widely used to predict sites for electrophilic or nucleophilic attack and understand non-covalent interactions. (UNVERIFIED)

Sub Class Of surface analysis c
Super Class Of electrostatic potential calculation analysis c

inter-BP correlation analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001880
Description

Inter-BP correlation refers to the analysis of how the structural parameters of one DNA base pair are statistically coupled to the parameters of its neighbors. For example, a change in the 'roll' angle at one step might influence the 'slide' or 'twist' at the adjacent step. Analyzing these correlations reveals the sequence-dependent rules that govern the flexibility and dynamics of the DNA double helix, which is crucial for understanding how proteins recognize and bind to specific DNA sequences. (UNVERIFIED)

Sub Class Of correlation analysis c

redox potential replica-exchange molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000363
Description

Redox potential replica-exchange molecular dynamics is a specialized version of the REMD method where the different parallel simulations are run at different electrochemical redox potentials, rather than different temperatures. This allows the system to efficiently sample different oxidation states in a simulation that is coupled to an electron bath. For experts, this method is used to study the thermodynamics of electron transfer proteins and other redox-active systems. (UNVERIFIED)

Sub Class Of replica-exchange molecular dynamics c

GAUSSIAN coordinate format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001094
Description

This term refers to the section within a Gaussian input file where the three-dimensional arrangement of atoms is defined. This can be done in two primary ways: using the straightforward Cartesian format with X, Y, Z coordinates, or using the Z-matrix format which specifies the geometry internally through bond lengths, angles, and dihedrals. The choice of format depends on the specific requirements of the calculation, such as the need to enforce molecular symmetry. (UNVERIFIED)

Sub Class Of molecular structure format c

atom ID c

IRI http://purl.obolibrary.org/obo/MOLSIM_002039
Description

An atom ID is usually a number, that uniquely defines a given atom in structure.

Sub Class Of identifier c

Ahlrichs Polarization c

IRI http://purl.obolibrary.org/obo/MOLSIM_000576
Description

This term generally refers to the polarization functions (functions with higher angular momentum than occupied in the ground state atom, e.g., d-functions on carbon, p-functions on hydrogen) that are specifically developed and included in the polarized versions of Ahlrichs basis sets, such as DZP, TZVP, or the def2-SVP/TZVP/QZVP series. These functions are essential for accurately describing molecular shapes, bonding, and response properties. It's typically part of a larger basis set designation (like TZVP) rather than a standalone basis set name. (UNVERIFIED)

Sub Class Of split-valence c

GROMOS force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001980
Description

The GROMOS force field is a family of molecular mechanics parameter sets widely used for simulating the structure and dynamics of biomolecules like proteins, lipids, and nucleic acids. It predominantly employs a united-atom representation where non-polar hydrogen atoms are implicitly incorporated into the heavy atoms they are bonded to, significantly increasing computational efficiency. For experts, parameter sets such as 53A6 and 54A7 are specifically calibrated against hydration free enthalpies and liquid densities, often requiring distinct reaction-field or cutoff treatments compared to AMBER or CHARMM protocols. (UNVERIFIED)

Sub Class Of united-atom force field c

residence times c

IRI http://purl.obolibrary.org/obo/MOLSIM_001864
Description

Residence time is the average amount of time that a molecule, such as a water molecule or a ligand, spends in a specific, defined location, like a protein's binding site. It is calculated from a simulation by monitoring when a molecule enters a region and when it leaves, and then averaging this duration over many such events. This kinetic parameter is often crucial for understanding a drug's efficacy and provides valuable insights into the dynamics of molecular recognition. (UNVERIFIED)

Sub Class Of kinetic property c

water shell analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000975
Description

A concept within hydration analysis referring to concentric layers of water molecules surrounding a solute, typically defined based on distance thresholds from the solute atoms or surface. Analysis focuses on characterizing the properties of water within specific shells (e.g., first, second hydration shell), including the number of water molecules (coordination number), their average density, preferred orientations, hydrogen bonding patterns, and residence times compared to bulk water. This provides a structured way to describe the local solvent environment. (UNVERIFIED)

Sub Class Of hydration analysis c

nucleic acid backbone flexibility c

IRI http://purl.obolibrary.org/obo/MOLSIM_001881
Description

Nucleic acid backbone flexibility is a measure of how much the sugar-phosphate chain of a DNA or RNA molecule can wiggle and change shape. This property is characterized by analyzing the fluctuations of the backbone dihedral angles (alpha, beta, gamma, delta, epsilon, zeta) and the sugar pucker during a simulation. Understanding the backbone flexibility is crucial for explaining how DNA can bend to be packaged into cells and how RNA can fold into complex functional structures. (UNVERIFIED)

Sub Class Of structural property c

energy unit c

IRI http://purl.obolibrary.org/obo/UO_0000111
Description

A unit which is a standard measure of the work done by a certain force (gravitational, electric, magnetic, force of inertia, etc).

Sub Class Of unit c
Super Class Of

picosecond c

IRI http://purl.obolibrary.org/obo/UO_0000030
Description

A time unit which is equal to 10^[-12] s.

Sub Class Of second based unit c

carbohydrates force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000012
Description

A force field specifically designed and parameterized for simulating carbohydrate molecules (sugars or glycans). It addresses the unique challenges of modeling the flexibility of glycosidic linkages between sugar units and the numerous hydrogen bonding possibilities involving hydroxyl groups. These are important for studying glycoproteins, glycolipids, and polysaccharides like cellulose. (UNVERIFIED)

Sub Class Of chemical entity-based force field c
Super Class Of

DNA system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001906
Description

A DNA system is a specific type of nucleic acid system where the primary molecule being studied is DNA. This most often involves the simulation of a DNA double helix to investigate its sequence-dependent structure, flexibility, and dynamics. For experts, these simulations are used to understand properties like DNA bending and the transitions between different helical forms like A- and B-DNA. (UNVERIFIED)

Sub Class Of nucleic acid system c

image bond fixing analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000679
Description

Image bond fixing is a post-processing step applied to simulation trajectories to correct the visual representation of molecules in a periodic system. When a molecule crosses a periodic boundary, it can appear "broken" in the raw output, with parts of it on opposite sides of the simulation box. This procedure identifies such cases and translates the atomic coordinates to make the molecule appear whole, which is essential for correct visualization and many types of analysis. (UNVERIFIED)

Sub Class Of periodic boundary imaging analysis c

aug-pc-1 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000571
Description

The aug-pc-1 basis set adds diffuse functions ('aug-') to Jensen's polarization consistent basis set of level 1 (pc-1). The pc-1 basis typically corresponds roughly to a polarized double-zeta (DZP) quality level, optimized for smooth convergence properties. Aug-pc-1 incorporates diffuse functions, making it suitable for calculations needing DZP quality plus description of anions, weak interactions, or response properties. (UNVERIFIED)

Sub Class Of split-valence c

reduce c

IRI http://purl.obolibrary.org/obo/MOLSIM_001600
Description

Reduce is a computational tool used to add and optimize the positions of hydrogen atoms in a macromolecular structure file, such as a PDB file. Since experimental structures often lack explicit hydrogens, this program builds a complete, all-atom model by considering the local chemical environment and hydrogen bonding network. For experts, using Reduce is a standard procedure to generate a chemically correct starting structure with proper ionization and tautomeric states for subsequent simulations. (UNVERIFIED)

Sub Class Of generic protonation tool c

TM-score c

IRI http://purl.obolibrary.org/obo/MOLSIM_001346
Description

A type of structural property used to assess the topological similarity between two protein structures, with a value ranging from 0 to 1. Unlike RMSD, the TM-score is less sensitive to local deviations and gives more weight to the global fold, making it a better metric for comparing distantly related proteins. A score above 0.5 generally indicates the same protein fold. This value is a standard output of protein structure comparison tools. (UNVERIFIED)

Sub Class Of structural property c

gnuplot c

IRI http://purl.obolibrary.org/obo/MOLSIM_001068
Description

Gnuplot is a command-line program that creates 2D and 3D graphs from data files. As a type of visualization tool, gnuplot is a versatile, scriptable plotting utility that can generate a wide variety of plots from data files, making it a popular choice for automating the generation of figures in analysis workflows. Simulation analysis programs often have options to format their output specifically for gnuplot, containing data columns ready for commands like plot 'data.dat' using 1:2 with lines. This tool is associated with script files having .gpi or .plt extensions and commands like set terminal and plot. (UNVERIFIED)

Sub Class Of data plotting tool c

second c

IRI http://purl.obolibrary.org/obo/UO_0000010
Description

A time unit which is equal to the duration of 9 192 631 770 periods of the radiation corresponding to the transition between the two hyperfine levels of the ground state of the caesium 133 atom.

Sub Class Of

metastable state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000102
Description

A state of a system that is locally stable (residing in a minimum on the potential energy surface) but has a higher free energy than the globally stable state. The system can persist in a metastable state for a significant time if the energy barrier to reach a more stable state is high. Examples in biomolecular systems include misfolded protein conformations, transiently bound ligand poses, or specific intermediate states along a functional cycle. (UNVERIFIED)

Sub Class Of ligand state c

independent continuant c

IRI http://purl.obolibrary.org/obo/BFO_0000004
Sub Class Of continuant c
In Domain Of

protein structural database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000692
Description

A structural database specifically focused on archiving and distributing 3D atomic coordinates and associated experimental data for proteins and their complexes. These resources are critical for researchers studying protein architecture, function, and interactions. The PDB is the foremost example in this category. (UNVERIFIED)

Sub Class Of structural database c

orientation quaternion c

IRI http://purl.obolibrary.org/obo/MOLSIM_001357
Description

A specific type of orientation descriptor that uses a four-component mathematical object to represent the rotation of a molecule in 3D space. A quaternion avoids the singularities that can occur with Euler angles, making it a robust way to track molecular orientation. The components are often labeled QUATERNION0 through QUATERNION3. (UNVERIFIED)

Sub Class Of orientation c

constant redox potential molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000656
Description

Constant redox potential molecular dynamics is an advanced simulation method that allows molecules in the system to change their electronic redox state during the simulation. This is done by coupling the simulation to a virtual "electron bath" at a fixed electrochemical potential. For experts, this method is essential for studying the behavior of electron transfer proteins and other redox-active systems in a specific electrochemical environment. (UNVERIFIED)

Sub Class Of molecular dynamics c

concerted motions analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001884
Description

Concerted motions describe the collective movement of groups of atoms that are correlated, meaning they tend to move together in the same or opposite directions at the same time. These movements can involve entire domains of a protein shifting or twisting as a single unit, rather than as independent, random wiggles. Identifying these large-scale concerted motions is key to understanding the functionally important dynamics of a molecule, such as the opening and closing of an enzyme's active site. (UNVERIFIED)

Sub Class Of correlation analysis c

book-keeping energy term c

IRI http://purl.obolibrary.org/obo/MOLSIM_001825
Description

A book-keeping energy term is a value that appears in a simulation's energy output but does not represent a real physical interaction within the molecule. It is an artificial energy used by certain algorithms, such as thermostats or barostats, for their internal calculations to maintain the correct temperature or pressure. While not part of the system's true potential energy, these terms are often printed in log files as a diagnostic to ensure the simulation algorithms are functioning correctly. (UNVERIFIED)

Sub Class Of energy c

radius of gyration c

IRI http://purl.obolibrary.org/obo/MOLSIM_001344
Description

A type of structural property that measures the overall compactness of a molecule or a group of atoms. It is calculated as the root-mean-square distance of the atoms from their common center of mass. The radius of gyration is used to monitor large-scale conformational changes like protein folding or unfolding. This value is often abbreviated as Rg or radgyr. (UNVERIFIED)

Sub Class Of structural property c

spline-based estimation algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_010015
Description

Statistical algorithm which uses smooth piecewise polynomials to fit the densitiy.

Sub Class Of statistical algorithm c

parmcal c

IRI http://purl.obolibrary.org/obo/MOLSIM_001608
Description

an interactive utility included in the AmberTools software package for deriving force field parameters. It assists users in calculating new parameters for bond lengths and angles based on a set of built-in empirical rules. This tool is particularly useful when parameterizing a new molecule for which no existing force field parameters are available. (UNVERIFIED)

Sub Class Of parameter assignment tool c

parmchk2 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001607
Description

The parmchk2 program is a utility in the AmberTools suite that checks a molecule file to see if all the necessary force field parameters are available. If it finds any missing bond, angle, or dihedral parameters, it will attempt to estimate them based on analogy to similar, known parameters. This tool is an essential step in preparing a new molecule for simulation, as it identifies missing parameters and provides reasonable guesses to complete the force field description. (UNVERIFIED)

Sub Class Of parameter assignment tool c

pressure unit c

IRI http://purl.obolibrary.org/obo/UO_0000109
Description

A unit which is a standard measure of the force applied to a given area.

Sub Class Of unit c
Super Class Of

thermal property analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000611
Description

A subset of thermodynamics analysis specifically dealing with how a system's properties change with temperature or involve heat exchange. This includes calculating quantities like heat capacity (how much energy is needed to raise the temperature), coefficients of thermal expansion, or enthalpy changes associated with specific processes. These properties are important for understanding temperature dependence and energy balance in molecular systems. (UNVERIFIED)

Sub Class Of thermodynamics analysis c
Super Class Of thermochemical analysis c

polar decomposition analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000653
Description

Polar decomposition analysis is a mathematical method used to separate the complex motion of a group of atoms, such as a protein domain, into a pure rotation and an internal deformation or strain. It works by decomposing the matrix that describes the transformation of the atoms' coordinates between two different conformations. This analysis provides a clear, quantitative way to distinguish rigid-body rotational movements from the internal flexing and structural changes of a molecular group. (UNVERIFIED)

Sub Class Of thermodynamics analysis c

PM3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000819
Description

Parameterization Method 3, a popular all-valence-electron semi-empirical quantum method based on the NDDO approximation, developed concurrently with AM1 as an evolution of MNDO. It differs from AM1 mainly in its parameterization strategy, which was more automated and aimed to reproduce a larger set of experimental data, including geometries and heats of formation. PM3 often gives different results from AM1, with varying accuracy depending on the system (UNVERIFIED).

Sub Class Of all-valence-electron restricted c
Super Class Of

number of QM/MM partitions c

IRI http://purl.obolibrary.org/obo/MOLSIM_001218
Description

A system setup parameter used in adaptive QM/MM simulations that defines the number of different QM/MM regions or partitions that will be used. This parameter controls the complexity of the adaptive QM/MM setup. The number of QM/MM partitions is a key input for setting up these advanced simulations. This is often set with the keyword n_partition. (UNVERIFIED)

Sub Class Of system setup parameter c

chemical shift restraint simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001821
Description

A chemical shift restraint simulation is a method where experimental Nuclear Magnetic Resonance (NMR) chemical shifts are used to guide a molecular dynamics simulation. An additional energy term is added that penalizes the simulation if the back-calculated chemical shifts from the trajectory do not agree with the experimental values. For experts, this method is a powerful tool for refining the accuracy of a structural ensemble to be consistent with experimental NMR data. (UNVERIFIED)

Sub Class Of restrained simulation method c

residue type c

IRI http://purl.obolibrary.org/obo/MOLSIM_001760
Description

A residue type is a classification assigned to a residue in a topology file that indicates its general chemical nature, such as "protein," "DNA," "RNA," or "solvent." This classification can be used by simulation or analysis programs to apply different rules or considerations to different types of molecules. For experts, this provides a simple way to distinguish between the different molecular components of a complex system. (UNVERIFIED)

Sub Class Of residue library c

solvent charge distribution format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001112
Description

This file format stores a 3D map showing the probability of finding the individual atomic point charges of solvent molecules at different locations around a solute. It differs from a charge density map by representing the distribution of the discrete positive (e.g., hydrogen) and negative (e.g., oxygen) partial charges separately. This format provides a more detailed view of the solvent's electrostatic structure, revealing the specific preferred locations of positive and negative charge centers, which is important for analyzing hydrogen bonding and ion solvation. (UNVERIFIED)

Sub Class Of solvent analysis format c

solute-solvent interaction energy density c

IRI http://purl.obolibrary.org/obo/MOLSIM_001811
Description

This is a 3D map that shows the average strength of the interaction energy between a central molecule (the solute) and the solvent at every point in the surrounding space. The value at each grid point represents how favorable or unfavorable it is for the solvent to be at that specific location. This analysis provides a detailed energetic picture of the solvation shell, highlighting key interaction sites like hydrogen bond donors or acceptors on the solute's surface. (UNVERIFIED)

Sub Class Of interaction energy c

simulation engine c

IRI http://purl.obolibrary.org/obo/MOLSIM_001851
Description

A simulation engine is the core computational program that performs the molecular dynamics simulation by calculating forces and updating atom positions over time. It takes a prepared molecular system and a set of parameters as input and generates a trajectory that describes the system's dynamic behavior. For experts, the choice of engine (e.g., AMBER, GROMACS, NAMD) is critical as it determines performance, available algorithms, and compatibility with specific force fields. (UNVERIFIED)

Sub Class Of simulation and modeling software c
Super Class Of

amber ff19SB c

IRI http://purl.obolibrary.org/obo/MOLSIM_000682
Description

Amber ff19SB is a modern and widely used set of rules, or a force field, for accurately simulating the structure and movement of proteins. The AMBER ff19SB protein force field is a recent refinement of the ff14SB lineage, incorporating updated quantum mechanical calculations for backbone dihedral angle parameters to improve the description of protein secondary structure balance. It is considered a state-of-the-art choice for all-atom protein simulations, offering high fidelity for studying protein folding, dynamics, and interactions. (UNVERIFIED)

Sub Class Of protein force field c

nfe-umbrella-slice c

IRI http://purl.obolibrary.org/obo/MOLSIM_001623
Description

The nfe-umbrella-slice script is a utility used in the analysis of umbrella sampling simulations, likely as part of a larger free energy calculation workflow. Its purpose is to extract a specific portion or "slice" of the simulation data from the collective output of all umbrella windows. Experts use this for tasks such as assessing the convergence of the free energy profile by analyzing how it changes as more data is included. (UNVERIFIED)

Sub Class Of utility script c

aug-cc-pV(5+d)Z c

IRI http://purl.obolibrary.org/obo/MOLSIM_000564
Description

The aug-cc-pV(5+d)Z basis set merges the very large quintuple-zeta correlation-consistent framework with both diffuse functions ('aug-') and the additional d-function ('+d') for second-row elements (Na-Ar). It is a highly specialized basis set for benchmark calculations demanding near complete basis set accuracy for second-row atoms involved in processes requiring diffuse functions. (UNVERIFIED)

Sub Class Of split-valence c

spin-orbit coupling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000625
Description

A relativistic quantum mechanical interaction between a particle's intrinsic spin angular momentum and its orbital angular momentum (due to its motion, e.g., an electron orbiting a nucleus). This coupling mixes electronic states and becomes increasingly significant for electrons in atoms with high atomic number (heavy atoms). Spin-orbit coupling influences electronic energy levels, causes splitting of spectral lines (fine structure), and facilitates transitions between states of different spin multiplicity (e.g., intersystem crossing in photochemistry, important for phosphorescence). (UNVERIFIED)

Sub Class Of spin effect* c

numerical solver algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001688
Description

A numerical solver is an algorithm that finds approximate solutions to complex mathematical equations that cannot be solved by hand. These algorithms are the computational engines that solve the underlying mathematical problems in many scientific simulations. For experts, this includes iterative algorithms like the conjugate gradient method used to solve the large systems of linear equations that arise in implicit solvent models or quantum mechanical calculations. (UNVERIFIED)

Sub Class Of algorithm c
Super Class Of

dipole moment density c

IRI http://purl.obolibrary.org/obo/MOLSIM_001816
Description

The dipole moment density is a three-dimensional map that shows the average orientation and magnitude of the molecular dipoles at different points in space within a simulation box. It is calculated by averaging the dipole moments of the molecules, such as water, in different grid cells over a trajectory. This analysis is useful for visualizing the collective polarization and electrostatic properties of a solvent, particularly at interfaces or around a charged solute. (UNVERIFIED)

Sub Class Of electronic property c

RDKit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001674
Description

RDKit is an open-source software library for cheminformatics, providing a wide range of tools for working with chemical structures. It allows users to read and write molecular file formats, generate 2D and 3D coordinates, calculate molecular descriptors, and perform substructure searching. In the context of biomolecular simulation, RDKit is frequently used in preparatory workflows to process, analyze, and prepare small molecule ligands for subsequent modeling and simulation. (UNVERIFIED)

Sub Class Of library c

machine learning solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000071
Description

An emerging class of solvation models where the complex relationship between a solute's structure/properties and its solvation free energy (or related solvent effects) is learned using machine learning (ML) algorithms. These algorithms are trained on large datasets generated from high-fidelity sources like explicit solvent simulations, quantum mechanical calculations, or experimental data. ML solvent models aim to achieve high accuracy approaching that of the training data but at a significantly reduced computational cost, potentially bridging the gap between fast implicit models and expensive explicit models. (UNVERIFIED)

Sub Class Of solvation model c

pi-electron restricted c

IRI http://purl.obolibrary.org/obo/MOLSIM_000806
Description

Describes a type of semi-empirical quantum chemistry method that simplifies calculations by only explicitly considering the pi electrons in a molecule, treating the sigma electrons as part of a fixed core. These methods are primarily applicable to planar, conjugated organic molecules where pi electron interactions dominate electronic properties like UV-Vis spectra. The PPP method is a prime example (UNVERIFIED).

Sub Class Of semi-empirical method c
Super Class Of PPP c

PdbSearcher.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001621
Description

This is a utility script designed to search for and retrieve specific molecular structure files from the Protein Data Bank (PDB). It allows a user to programmatically find structures based on criteria such as the PDB ID, the name of the molecule, or the experimental method used. This automates the process of gathering the necessary input structures for a large-scale simulation or analysis project. (UNVERIFIED)

Sub Class Of utility script c

center of mass torsion collective variable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001835
Description

A center of mass torsion collective variable is a dihedral angle defined by the centers of mass of four distinct groups of atoms, rather than four single atoms. This allows for the description of torsional or twisting motions between large molecular domains or subunits. It provides a way to characterize the large-scale rotational dynamics within a molecular complex. (UNVERIFIED)

Sub Class Of torsion collective variable c

direct reaction coordinate analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000029
Description

A type of coordinate analysis where the reaction progress is described using simple, intuitive geometric parameters like bond distances, angles, or dihedrals directly involved in the transformation. This provides a straightforward way to monitor specific structural changes assumed to be representative of the reaction pathway. It is often used for initial pathway explorations or simple bond-breaking/forming events. (UNVERIFIED)

Sub Class Of coordinate analysis c

ProScrs.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001576
Description

ProScrs.py is a utility script included in the AmberTools suite that provides protein scoring functionalities. It is designed to evaluate protein structures or docking poses using various scoring functions. For researchers, this tool assists in assessing the quality or binding affinity of protein models. (UNVERIFIED)

Sub Class Of utility script c

direct correlation function c

IRI http://purl.obolibrary.org/obo/MOLSIM_001425
Description

A specific type of correlation function that describes the direct correlation between two particles in a liquid, excluding indirect effects mediated by other particles. It is a fundamental quantity in the statistical mechanics of liquids, related to the total correlation function by the Ornstein-Zernike equation. This is often denoted as c(r). (UNVERIFIED)

Sub Class Of correlation function c

ethernet c

IRI http://purl.obolibrary.org/obo/MOLSIM_001947
Description

Ethernet is the standard technology used to connect computers in most local networks, such as in an office or home - as well as Metropolitan Area Network and Wide Area Network. While basic Ethernet is too slow for demanding parallel simulations, high-speed versions (such as 100 Gigabit Ethernet) can be used as the network interconnect in some high-performance computing clusters. It is a common and cost-effective choice for smaller clusters, though it typically has higher communication delays than specialized interconnects like InfiniBand. (UNVERIFIED)

Sub Class Of network interconnect c

multiple-walkers algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001741
Description

An enhanced sampling algorithm where multiple independent simulation replicas (walkers) simultaneously explore the conformational space and contribute to a single, shared biasing potential. This parallelization significantly accelerates the convergence of methods like metadynamics or adaptive biasing force. (UNVERIFIED)

Sub Class Of enhanced sampling algorithm c

pairlist skin c

IRI http://purl.obolibrary.org/obo/MOLSIM_001190
Description

A non-bonded interaction parameter that specifies a buffer region or "skin" beyond the non-bonded cutoff distance when generating the pairlist. Atoms within this skin are included in the pairlist to account for their movement between updates. A larger pairlist skin allows for less frequent pairlist updates. This is often set with the keyword skinnb or rlist. (UNVERIFIED)

Sub Class Of non-bonded interaction parameter c

aug-cc-pVTZ-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000552
Description

The aug-cc-pVTZ-RI basis set is the matched auxiliary basis designed for use with the aug-cc-pVTZ orbital basis set within Resolution of Identity (RI) or Density Fitting (DF) computational schemes. It enables efficient evaluation of electron repulsion integrals involving diffuse functions, making RI/DF calculations with the popular aug-cc-pVTZ basis practical. (UNVERIFIED)

Sub Class Of split-valence c

slide c

IRI http://purl.obolibrary.org/obo/MOLSIM_001368
Description

A base pair step parameter that describes the translational displacement of one base pair relative to the next along their long axes. A non-zero slide is a major determinant of the width of the major and minor grooves. It is a key parameter for describing B-form DNA. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair step parameter c

domain decomposition algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001979
Description

Domain decomposition is a parallel computing strategy used to distribute the computational workload of a simulation across multiple processors by geometrically dividing the simulation box into smaller sub-regions. In molecular dynamics, each processor is responsible for calculating forces and updating the positions of atoms located within its assigned spatial domain, exchanging coordinate and force data with neighboring domains at every time step. For experts, this spatial parallelization scales more efficiently than atom-decomposition methods for large systems (O(N) vs O(N^2) communication), but requires sophisticated dynamic load balancing to handle density fluctuations and heterogeneous systems. (UNVERIFIED)

Sub Class Of simulation control algorithm c

CHAGB implicit solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001518
Description

The CHAGB implicit solvent model is a specialized computational method for quickly estimating how a molecule interacts with a water solvent. It is a specific parameterization of the Generalized Born (GB) model that uses charge-hydration-asymmetry (CHA) to improve the calculation of solvation free energies for ions. This model aims to provide a more accurate description of the different solvation behaviors of positive and negative ions within a computationally efficient implicit solvent framework. (UNVERIFIED)

Sub Class Of generalized Born implicit solvent model c

radii set c

IRI http://purl.obolibrary.org/obo/MOLSIM_000272
Description

A defined collection or list that assigns specific atomic radius values to different atom types (defined by element, hybridization state, and sometimes chemical environment). These radii are used in various computational molecular modeling contexts, such as calculating molecular surfaces (like Van der Waals surface or Solvent Accessible Surface Area - SASA), estimating molecular volumes, defining cavities, or as parameters within implicit solvent models (e.g., determining effective Born radii for GB models or defining the dielectric boundary for PB models). Different radii sets exist (e.g., Bondi Van der Waals radii, radii optimized for solvation calculations like PARSE), derived from different physical principles or empirical fitting procedures. (UNVERIFIED)

Sub Class Of model c
Super Class Of

source code module c

IRI http://purl.obolibrary.org/obo/IAO_0000096
Description

A source code module is a directive information entity that specifies, using a programming language, some algorithm.

Sub Class Of directive information entity c

generalized weighted thermodynamic perturbation theory c

IRI http://purl.obolibrary.org/obo/MOLSIM_000422
Description

Generalized weighted thermodynamic perturbation theory is an extension of the weighted thermodynamic perturbation method. It provides a more general mathematical framework for the use of weighting functions to optimize free energy calculations. For experts, this represents a further theoretical refinement aimed at maximizing the efficiency and accuracy of free energy perturbation calculations. (UNVERIFIED)

Sub Class Of weighted thermodynamic perturbation theory analysis c

dual-boost protein-protein interaction Gaussian accelerated molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000404
Description

This is a variant of GaMD where two boost potentials are used to accelerate the simulation of protein-protein interactions. One boost potential is typically applied to the dihedral angles at the protein-protein interface to enhance local conformational sampling, while a second boost is applied to the total system potential to speed up the overall binding or unbinding process. For experts, this dual-boost approach offers a more targeted way to enhance the sampling of complex protein association events. (UNVERIFIED)

Sub Class Of protein-protein interaction Gaussian accelerated molecular dynamics c

GFN2-xTB c

IRI http://purl.obolibrary.org/obo/MOLSIM_001540
Description

GFN2-xTB is the second-generation "Geometry, Frequency, Noncovalent, eXtended Tight-Binding" method from the Grimme group. It improves upon GFN1-xTB with a more accurate description of non-covalent interactions, making it particularly well-suited for calculations on molecular complexes and condensed-phase systems. For computational chemists, GFN2-xTB is a state-of-the-art semi-empirical method that provides an excellent balance of speed and accuracy for a wide range of applications. (UNVERIFIED)

Sub Class Of semi-empirical method c

dielectric constant c

IRI http://purl.obolibrary.org/obo/MOLSIM_001195
Description

An electrostatic parameter that specifies the dielectric constant of the medium, which models the ability of the medium to screen electrostatic interactions. In explicit solvent simulations, this is typically set to 1.0, while in implicit solvent models, it is set to a higher value to represent the solvent. The dielectric constant is a fundamental parameter in electrostatic calculations. This is often set with the keyword epsilon. (UNVERIFIED)

Sub Class Of electrostatic parameter c
Super Class Of

MBX c

IRI http://purl.obolibrary.org/obo/MOLSIM_001683
Description

MBX is a molecular dynamics simulation engine that uses a many-body expansion approach to model intermolecular interactions with very high accuracy. Instead of using a simple pairwise force field, it calculates the energy of a system by explicitly including two-body, three-body, and higher-order interaction terms that are derived from quantum mechanical calculations. This makes it a powerful tool for generating highly accurate simulations of systems like water, where many-body effects are crucial for reproducing its physical properties. (UNVERIFIED)

Sub Class Of molecular dynamics engine c

extract_WAMMenergies.pl c

IRI http://purl.obolibrary.org/obo/MOLSIM_001633
Description

A Perl script used as part of the FEW (Free Energy Workflow) software to post-process simulation data. Its primary function is to parse output files and calculate a summary of effective binding energies from a free energy calculation. This script automates the data extraction step, making the analysis of complex binding energy simulations more efficient. (UNVERIFIED)

Sub Class Of utility script c

ptraj c

IRI http://purl.obolibrary.org/obo/MOLSIM_001667
Description

ptraj was the original command-line program used in the AMBER software suite for analyzing simulation trajectories. It allowed users to process coordinate files to calculate a wide range of properties, such as RMSD, distances, and angles, by reading a script of analysis commands. Although it has now been superseded by its more powerful and flexible successor, cpptraj, ptraj established the fundamental workflow for trajectory analysis in the AMBER community. (UNVERIFIED)

Sub Class Of trajectory processing tool c

data analysis script c

IRI http://purl.obolibrary.org/obo/MOLSIM_000168
Description

A script written to perform specific analysis tasks on data generated from simulations, often going beyond the standard capabilities of packaged analysis tools or requiring custom calculations. Examples include scripts to calculate specific geometric parameters over time, parse log files for specific energy terms, perform advanced statistical analysis or time-series analysis on trajectory data, or generate data for custom plots. These are often written in Python (using libraries like MDAnalysis, NumPy, Pandas) or R. (UNVERIFIED)

Sub Class Of script c

amber ff10 c

IRI http://purl.obolibrary.org/obo/MOLSIM_000742
Description

A specific protein force field parameter set from the AMBER family, incorporating updates (e.g., to backbone torsions) over ff99SB, developed around 2010. It served as an evolutionary step in the AMBER force field lineage. However, it was largely superseded by subsequent versions like ff12SB and ff14SB. (UNVERIFIED)

Sub Class Of protein force field c

Kruskal's algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000088
Description

A greedy algorithm used to find a Minimum Spanning Tree (MST) for a connected, undirected graph with weighted edges. An MST connects all vertices together with the minimum possible total edge weight. Kruskal's algorithm iteratively adds the lowest-weight edge that does not form a cycle until all vertices are connected (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

solvation entropy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001327
Description

A component of entropy representing the change in the system's disorder when a solute is dissolved in a solvent. It includes contributions from the loss of conformational freedom of the solute and the reorganization of the solvent molecules. The solvation entropy is a critical component for understanding the thermodynamics of solubility. This value is often reported as delta S solv or --entropy. (UNVERIFIED)

Sub Class Of entropy c

BLAS c

IRI http://purl.obolibrary.org/obo/MOLSIM_001678
Description

BLAS, or Basic Linear Algebra Subprograms, is a specification that defines a set of low-level routines for performing common linear algebra operations such as vector and matrix multiplication. Highly optimized libraries that implement the BLAS standard are available and provide a foundation for more complex numerical software. For simulation and quantum chemistry programs, using an optimized BLAS library is critical for achieving high performance in matrix-intensive calculations. (UNVERIFIED)

Sub Class Of library c

hertz based unit c

IRI http://purl.obolibrary.org/obo/UO_1000106
Sub Class Of frequency unit c
Super Class Of hertz c

supercomputer system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001937
Description

A high-performance computing cluster system that operates at or near the maximum performance rate for computers at the time of its deployment. Supercomputers are typically characterized by massive scale, specialized high-speed interconnects, and act as national or global resources for the most demanding computational tasks (e.g., Summit, Frontier, or specialized MD machines like Anton). (UNVERIFIED)

Sub Class Of high-performance computing cluster system c

ionic strength c

IRI http://purl.obolibrary.org/obo/MOLSIM_001212
Description

A system setup parameter that specifies the molar concentration of salt in the simulation solvent. The ionic strength affects the screening of electrostatic interactions and is crucial for mimicking experimental buffer conditions. This is a key parameter for accurately modeling the electrostatic environment of the system. This is often set with the keyword ion_concentration or saltcon. (UNVERIFIED)

Sub Class Of system setup parameter c

QCISD(T) c

IRI http://purl.obolibrary.org/obo/MOLSIM_000839
Description

Quadratic Configuration Interaction with Singles, Doubles, and a perturbative estimate of Triple excitations. This method adds an approximate correction for the effects of triple electron excitations onto the QCISD calculation, significantly improving accuracy for many chemical properties. QCISD(T) is considered a high-accuracy method, often yielding results close to experimental values, and is comparable in accuracy and cost to the widely used CCSD(T) method (UNVERIFIED).

Sub Class Of quadratic configuration interaction c

regression analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000347
Description

Regression analysis encompasses statistical methods used to model and investigate the relationship between a dependent variable (the outcome or response being predicted) and one or more independent variables (predictors or explanatory variables). It aims to understand how changes in the independent variables are associated with changes in the dependent variable, often by fitting a mathematical equation (like a line or curve) to the data. Common types include linear regression and logistic regression. (UNVERIFIED)

Sub Class Of statistical analysis c

1 trajectory approach c

IRI http://purl.obolibrary.org/obo/MOLSIM_000279
Description

The 1-trajectory approach is synonymous with the single trajectory approach used in endpoint binding free energy methods like MM/PBSA or MM/GBSA. It relies on simulating only the complex and extracting configurations for the receptor and ligand components from that same trajectory. This approach offers computational savings over simulating each species independently. (UNVERIFIED)

Sub Class Of trajectory approach analysis c

method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000109
Description

A method represents the overall strategy or plan that specifies how a scientific objective is to be achieved. In the context of biomolecular science, this high-level concept encompasses both the physical procedures of an experimental method and the abstract protocols of a computational method. Defining the specific method is crucial for establishing the provenance and reproducibility of a result, as it dictates whether the evidence was generated through physical observation or theoretical calculation. (UNVERIFIED)

Super Class Of

interaction parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001184
Description

A type of simulation parameter that controls how the interactions between atoms are calculated. These parameters define the methods and cutoffs used for computing non-bonded forces, which are the most computationally expensive part of a simulation. The choice of interaction parameter has a major impact on both the accuracy and performance of the simulation. These are often set with keywords like cut or ewald. (UNVERIFIED)

Sub Class Of simulation parameter c
Super Class Of

local computing cluster system c

IRI http://purl.obolibrary.org/obo/MOLSIM_010024
Description

A local computing cluster system consists of a set of networked computers, or nodes, that are physically located and managed within a specific research laboratory or institution. These systems are typically smaller than national supercomputers but provide dedicated, high-performance resources for running parallel molecular dynamics simulations. They offer researchers direct control over the hardware environment, software configuration, and job scheduling for their computational experiments. (UNVERIFIED)

Sub Class Of computing system c

stagger c

IRI http://purl.obolibrary.org/obo/MOLSIM_001362
Description

A base pair parameter that quantifies the translational displacement of one base relative to the other along the axis perpendicular to the base pair plane. A non-zero stagger indicates a difference in the "height" of the two bases. It is a key measure of the planarity of the base pair. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair parameter c

water cap c

IRI http://purl.obolibrary.org/obo/MOLSIM_001475
Description

A water cap is a type of solvation model where the main molecule of interest is solvated by only a limited, spherical droplet of explicit water molecules. This approach reduces the total number of atoms in the simulation compared to filling a full periodic box with water. To prevent the droplet from evaporating, a restraining potential is often applied at the boundary of the sphere to keep the water molecules contained. (UNVERIFIED)

Sub Class Of solvation model c

aMD potential energy threshold c

IRI http://purl.obolibrary.org/obo/MOLSIM_001231
Description

An accelerated MD parameter that specifies the energy threshold for the total potential energy, below which the boost potential is applied. This parameter controls when the total potential energy is biased. The aMD potential energy threshold is a key parameter for tuning the aMD simulation. This is often set with the keyword EthreshP. (UNVERIFIED)

Sub Class Of accelerated MD parameter c

quantum chemistry engine c

IRI http://purl.obolibrary.org/obo/MOLSIM_000161
Description

Application programs specifically designed to solve the electronic structure of atoms and molecules using the principles of quantum mechanics. These packages implement various theoretical methods, such as Hartree-Fock, Density Functional Theory (DFT), Møller-Plesset perturbation theory (MPn), configuration interaction (CI), and coupled cluster (CC), to calculate energies, wavefunctions, molecular properties, and reaction pathways. Examples include Gaussian, Q-Chem, NWChem, Orca, Molpro, etc., often used for parameterizing force fields, studying reaction mechanisms, or in QM/MM simulations. (UNVERIFIED)

Sub Class Of simulation engine c
Super Class Of

force field parameterization modeling c

IRI http://purl.obolibrary.org/obo/MOLSIM_000374
Description

A force field parameterization method is the systematic procedure used to derive the numerical values, or parameters, for a force field. This process involves fitting the parameters of the force field's energy functions to reproduce high-quality data, which can come from quantum mechanical calculations or experimental measurements. For experts, the parameterization method is the core of force field development and determines the accuracy and domain of applicability of the resulting model. (UNVERIFIED)

Sub Class Of modeling method c
Super Class Of

conveyor belt thermodynamic integration c

IRI http://purl.obolibrary.org/obo/MOLSIM_000294
Description

Conveyor Belt Thermodynamic Integration (CBTI) approach is a newer method that uses multiple replicas moving in a coordinated fashion along λ. (...) (UNVERIFIED)

Sub Class Of thermodynamic integration approach c

ndfes-CheckEquil.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001642
Description

This script is a utility used to check if a simulation has reached a stable equilibrium. It analyzes a time-series of a specific property, such as a collective variable, from a simulation output file to determine if its average value has stopped fluctuating systematically. This is a crucial step in free energy calculations to ensure that the data used for analysis is from a well-equilibrated system. (UNVERIFIED)

Sub Class Of utility script c

minimum crossing analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000587
Description

A minimum crossing point, often Minimum Energy Crossing Point (MECP), is the molecular geometry where two potential energy surfaces corresponding to different electronic spin states (e.g., singlet and triplet) intersect at the lowest possible energy. These points are crucial for understanding pathways of spin-forbidden reactions or intersystem crossing events. Locating MECPs helps analyze transitions between different spin manifolds. (UNVERIFIED)

Sub Class Of surface analysis c

stretch c

IRI http://purl.obolibrary.org/obo/MOLSIM_001361
Description

A base pair parameter that quantifies the translational displacement of one base relative to the other along the axis of the hydrogen bonds. A non-zero stretch measures how much the base pair is pulled apart or compressed. It reflects the strength and dynamics of the hydrogen bonds holding the pair together. This is a standard output of nucleic acid analysis programs. (UNVERIFIED)

Sub Class Of base pair parameter c

HOLE c

IRI http://purl.obolibrary.org/obo/MOLSIM_000114
Description

HOLE is a computer program used to analyze the dimensions and shape of internal pathways or tunnels within a biomolecular structure. It operates by computationally squeezing a flexible sphere along a channel axis to determine the maximum pore radius at every point without overlapping the surrounding atoms. This analysis allows researchers to visualize the pore profile and identify constriction zones that control the passage of ions or molecules through the structure. (UNVERIFIED)

Sub Class Of tunnel predictor tool c

split-valence c

IRI http://purl.obolibrary.org/obo/MOLSIM_000485
Description

Split-valence basis sets improve upon minimal basis sets by using two or more basis functions with different spatial extents to represent each valence atomic orbital, while still using a single function for core orbitals. This allows the molecular orbitals to change size and shape more flexibly upon molecule formation, leading to significantly better accuracy than minimal basis sets. Examples include the Pople basis sets (e.g., 3-21G, 6-31G) and correlation-consistent sets. (UNVERIFIED)

Sub Class Of quantum mechanics basis set c
Super Class Of

cloud computing platform system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001938
Description

A cloud computing platform is a service that provides on-demand access to powerful computing resources over the internet. This allows researchers to run large-scale simulations on virtual clusters hosted by commercial providers like Amazon Web Services (AWS) or Google Cloud. This approach offers flexible access to the latest hardware, such as high-end GPUs, without the cost and maintenance of owning a physical supercomputer. (UNVERIFIED)

Sub Class Of computing system c

WIGGLE algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000799
Description

The WIGGLE constraining algorithm is a method used in molecular dynamics simulations to hold atomic bonds at fixed lengths, which allows for larger time steps and more efficient computation. It is an extension of the popular SHAKE and RATTLE algorithms, but improves upon them by using particle velocities to make an intelligent initial guess for the constraint forces required. This more advanced initial estimate allows the algorithm to solve the constraint equations faster, reducing the computational cost at each step of the simulation. (UNVERIFIED)

Sub Class Of constraint algorithm c

crystallographic model component c

IRI http://purl.obolibrary.org/obo/MOLSIM_001494
Description

A crystallographic model component is a fundamental concept used to describe the structure of a crystal. It represents one of the key pieces of information, such as the repeating unit or the symmetry rules, that define how molecules are arranged in a crystalline solid. For structural biologists, these components are essential for interpreting X-ray diffraction data and building a complete model of the crystal lattice. (UNVERIFIED)

Sub Class Of model c
Super Class Of

trajectory processing tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_000251
Description

An analysis tool specifically focused on reading, processing, manipulating, and analyzing molecular dynamics trajectory files. These tools provide functionalities to read various trajectory formats, select specific atoms or frames, perform calculations over time (like RMSD, distances, angles), calculate average structures, remove solvent, re-image periodic boundaries, and write out modified trajectories or extracted data. CPPTRAJ (AmberTools) and GROMACS analysis utilities are key examples. (UNVERIFIED)

Sub Class Of analysis tool c
Super Class Of

R6 averaged distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001291
Description

An NMR analysis parameter that specifies a particular form of distance averaging used in NMR structure calculation and refinement. This method involves averaging the inverse sixth power of the distance between two atoms, which is directly related to the Nuclear Overhauser Effect (NOE) intensity. The ⁻¹/⁶ averaged distance is a key parameter for back-calculating NOEs from a simulation trajectory. This is often referred to as R6 averaging. (UNVERIFIED)

Sub Class Of NMR analysis parameter c

computed observable c

IRI http://purl.obolibrary.org/obo/MOLSIM_001292
Description

A quantitative or qualitative output data item generated by a simulation or analysis process. It represents the actual measured state, derived metric, or calculated result of the system (e.g., instantaneous potential energy, calculated RMSD, assigned cluster IDs). (UNVERIFIED)

Super Class Of

xvg format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000322
Description

A text-based data file format generated by GROMACS analysis tools, designed for plotting 1D or 2D graphs. It contains tabular numerical data alongside metadata and formatting commands intended to be read directly by the Grace (xmgrace) plotting program. (UNVERIFIED)

Sub Class Of plot data format c

GLYCAM-Web c

IRI http://purl.obolibrary.org/obo/MOLSIM_001672
Description

GLYCAM-Web is a collection of online tools and web servers that assist researchers in building three-dimensional models of carbohydrates and glycoproteins. It uses the GLYCAM force field to generate realistic structures and provides tools for tasks like predicting the conformation of glycosidic linkages. For scientists studying glycobiology, GLYCAM-Web provides an essential resource for preparing complex carbohydrate structures for molecular simulation. (UNVERIFIED)

Sub Class Of tool web server c

material force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_001453
Description

A material force field is a type of force field specifically developed and parameterized to simulate the properties of solid-state materials, such as metals, ceramics, or polymers. Unlike biomolecular force fields, these models are optimized to reproduce properties like crystal structure, elastic constants, and defect energies. For materials scientists, these force fields are essential for simulating the mechanical and thermodynamic behavior of materials at the atomic scale. (UNVERIFIED)

Sub Class Of force field c
Super Class Of GAL17 force field c

Mersenne Twister random number generator algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001702
Description

The Mersenne Twister is a very popular and widely used pseudo-random number generator algorithm. It is known for its extremely long period and its excellent statistical properties, meaning the sequence it produces is very difficult to distinguish from a truly random one. Because of its reliability and widespread availability, it is a default choice in many programming languages and scientific libraries used for stochastic simulations. (UNVERIFIED)

Sub Class Of random number generator algorithm c

direct sum Coulomb method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000392
Description

The direct sum Coulomb method is the most straightforward algorithm for calculating electrostatic forces by explicitly summing up the interactions between all pairs of charged atoms in the system. While exact for a finite system, this approach is computationally very expensive, with a cost that scales with the square of the number of atoms. In modern simulations with periodic boundary conditions, this brute-force method is almost always replaced by more efficient algorithms like Particle Mesh Ewald (PME) or is used only for the short-range part of the calculation. (UNVERIFIED)

Sub Class Of electrostatic interaction algorithm c

ac format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000473
Description

A file format generated by the Antechamber program in AmberTools that contains a molecule's structure and atomic properties. It typically stores atom types and partial charges assigned during the parameterization process for a small molecule. This format serves as an intermediate in preparing non-standard molecules for simulation. (UNVERIFIED)

Sub Class Of molecular structure format c

geometry optimization analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000602
Description

A computational procedure within structural analysis used to find the atomic coordinates corresponding to a stationary point, typically a local minimum, on the potential energy surface, representing a stable or equilibrium structure. Starting from an initial guess geometry, algorithms iteratively adjust atomic positions to minimize the energy and reduce the forces acting on the atoms until convergence criteria are met. This predicts the most stable three-dimensional structure for a given molecular composition and electronic state. (UNVERIFIED)

Sub Class Of structural analysis c
Super Class Of FMO geometry optimization analysis c

lipid density c

IRI http://purl.obolibrary.org/obo/MOLSIM_001870
Description

Lipid density is a measure of how tightly packed the lipid molecules are in a simulated cell membrane. It is typically calculated as a one-dimensional profile along the axis perpendicular to the membrane plane, showing the mass or electron density of different lipid components like headgroups and tails. Analyzing the lipid density profile is a fundamental check to ensure the simulated membrane has the correct structure and thickness, and it reveals how an embedded protein might locally perturb the lipid packing. (UNVERIFIED)

Sub Class Of structural property c

aug-cc-pVQZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000546
Description

The aug-cc-pVQZ basis set augments the quadruple-zeta correlation-consistent basis (cc-pVQZ) with a set of diffuse functions for each valence angular momentum. This very large basis set is designed for high-accuracy benchmark calculations where both a near-complete valence description and an accurate representation of diffuse electron density (e.g., for interaction energies or electron affinities) are required. (UNVERIFIED)

Sub Class Of split-valence c

wavefunction stability index c

IRI http://purl.obolibrary.org/obo/MOLSIM_001387
Description

A specific wavefunction property that indicates whether the calculated electronic wavefunction corresponds to a true energy minimum. A stable wavefunction is a prerequisite for obtaining reliable results from a quantum chemical calculation. The wavefunction stability index is a diagnostic tool used to ensure the quality of the calculation. This is often reported as the result of a Stable=Opt calculation in Gaussian. (UNVERIFIED)

Sub Class Of wavefunction property c

structural property c

IRI http://purl.obolibrary.org/obo/MOLSIM_001333
Description

A type of output data descriptor that quantifies some aspect of the three-dimensional arrangement of atoms in a molecule or system. These descriptors are used to characterize the conformation, shape, size, and flexibility of molecules. They are the most common type of analysis performed on simulation trajectories. These properties are often calculated using tools like cpptraj, gmx analyze, or VMD. (UNVERIFIED)

Sub Class Of computed observable c
Super Class Of

small molecule system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001911
Description

A small molecule system is a molecular simulation system where the primary focus is on the behavior of small organic molecules. This typically involves simulating a box of a pure liquid or a mixture of liquids to calculate their bulk physical properties. For experts, these simulations are often used to develop and validate the force field parameters for organic molecules before they are used in more complex biological simulations. (UNVERIFIED)

Sub Class Of molecular simulation system c

Ahlrichs Coulomb fitting c

IRI http://purl.obolibrary.org/obo/MOLSIM_000575
Description

Ahlrichs Coulomb fitting basis sets are auxiliary basis sets specifically developed and optimized for use with the Resolution of Identity (RI-J) or Density Fitting (DF) approximation for the Coulomb part of quantum chemical calculations, particularly when using Ahlrichs' orbital basis sets (like def2-SVP, def2-TZVP). Employing these matched fitting sets significantly accelerates the computation of two-electron Coulomb integrals. They are distinct from the orbital basis sets used to describe the wavefunction. (UNVERIFIED)

Sub Class Of split-valence c

vacuum environment c

IRI http://purl.obolibrary.org/obo/MOLSIM_002068
Description

A vacuum environment, or gas phase environment, is a simulation context where the molecule of interest is completely isolated in empty space without any surrounding solvent or medium. This represents a system with a dielectric constant of exactly 1.0. For experts, this environment is typically used for rapid energy minimizations, testing basic force field parameters, or simulating specific experimental conditions like those found in mass spectrometry. (UNVERIFIED)

Sub Class Of simulation environment c

normalized tetrahedral order parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001820
Description

This is a standardized score from -1/3 to 1 that shows how perfectly pyramid-shaped the arrangement of water molecules is. It is a version of the tetrahedral order parameter that has been scaled so that a value of 1 corresponds to a perfect tetrahedral arrangement and a value of 0 corresponds to a completely random, ideal gas-like arrangement. This normalization makes the parameter easier to interpret and allows for a more direct comparison of the degree of local ordering in different simulations or under different conditions. (UNVERIFIED)

Sub Class Of tetrahedral order parameter c

degree based unit c

IRI http://purl.obolibrary.org/obo/UO_1000185
Sub Class Of plane angle unit c
Super Class Of degree c

reference energy c

IRI http://purl.obolibrary.org/obo/MOLSIM_001799
Description

A reference energy is a defined baseline or zero-point energy against which other energies are compared. In free energy calculations, it is often the energy of a known or simplified state, and all other states are described by their energy difference relative to this reference. Using a consistent reference energy is essential for making meaningful comparisons between the stabilities of different molecules or conformations. (UNVERIFIED)

Sub Class Of energy c

ligand complex system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001890
Description

A ligand complex system is a type of complex system where the focus is on the interaction between a large macromolecule, such as a protein or DNA, and a smaller molecule, known as a ligand. These simulations are central to the field of drug discovery, where the goal is to understand how a potential drug molecule binds to its biological target. For experts, these systems are the primary subject of binding free energy calculations and docking studies. (UNVERIFIED)

Sub Class Of complex system c
Super Class Of

resampling method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000349
Description

Resampling methods are statistical techniques that involve repeatedly drawing samples from an original dataset and recalculating a statistic or refitting a model on each sample. These methods are used to estimate the precision of sample statistics (like standard errors or confidence intervals using bootstrapping) or to validate models by assessing their performance on different subsets of the data (like cross-validation). They provide insights into stability and uncertainty without requiring new data collection. (UNVERIFIED)

Sub Class Of statistical analysis c
Super Class Of bootstrap analysis c

Welch's T-test analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000344
Description

Welch's t-test is a statistical test used to determine if two populations have equal means, and it is an adaptation of the Student's t-test. It is specifically designed for the situation where the two samples are assumed to have unequal variances. For simulation analysts, Welch's t-test is a robust method for comparing the average value of a property calculated from two independent simulations. (UNVERIFIED)

Sub Class Of statistical test analysis c

6-31G c

IRI http://purl.obolibrary.org/obo/MOLSIM_000506
Description

The 6-31G basis set is a very popular Pople-style split-valence basis using 6 contracted Gaussians for core orbitals and splitting valence orbitals into two functions (an inner part from 3 Gaussians, an outer part from 1 Gaussian). It provides a robust balance of computational efficiency and accuracy improvement over minimal basis sets. It frequently serves as the base for adding polarization () and/or diffuse (+) functions (e.g., 6-31G). (UNVERIFIED)

Sub Class Of split-valence c

simulation time step c

IRI http://purl.obolibrary.org/obo/MOLSIM_001166
Description

A type of integration parameter that specifies the discrete interval of time between successive steps in a molecular dynamics simulation. The choice of simulation time step is a critical balance between computational efficiency and numerical stability, as it must be short enough to capture the fastest atomic motions. This is commonly specified in input files with the keyword dt. (UNVERIFIED)

Sub Class Of integration parameter c

structural database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000691
Description

A primary database specializing in the storage and dissemination of three-dimensional (3D) atomic coordinate data for biological macromolecules like proteins and nucleic acids. These databases are essential for understanding molecular function, designing drugs, and providing starting points for simulations. The Protein Data Bank (PDB) is a prime example. (UNVERIFIED)

Sub Class Of primary database c
Super Class Of

local density approximation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001460
Description

The Local Density Approximation (LDA) is the simplest class of approximation used for the exchange-correlation functional in Density Functional Theory. It assumes that the exchange-correlation energy at any point in space depends only on the electron density at that same point. While computationally very fast, the LDA is generally less accurate than more sophisticated approximations like GGA or hybrid functionals. (UNVERIFIED)

Sub Class Of density functional theory c

confidence level c

IRI http://purl.obolibrary.org/obo/MOLSIM_001274
Description

A statistical analysis parameter that specifies the desired confidence level for calculating a confidence interval. A confidence level of 95% means that the calculated interval is expected to contain the true value of the parameter in 95% of cases. This is a key parameter for quantifying the uncertainty of a calculated property. This is often set as a percentage. (UNVERIFIED)

Sub Class Of statistical analysis parameter c

analysis parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001264
Description

An input setting that dictates the mathematical, statistical, or filtering rules used to process and evaluate existing simulation data (e.g., clustering distance cutoff, bin size for volumetric analysis). (UNVERIFIED)

Sub Class Of parameter c
Super Class Of

NEB number of images c

IRI http://purl.obolibrary.org/obo/MOLSIM_001242
Description

A nudged elastic band parameter that specifies the number of intermediate structures (images) to optimize along the reaction path. A larger NEB number of images provides a more detailed representation of the path but is computationally more expensive. This is a key parameter for controlling the resolution of the NEB calculation. This is often set with the keyword neb_nimage. (UNVERIFIED)

Sub Class Of nudged elastic band parameter c

elementary charge c

IRI http://purl.obolibrary.org/obo/MOLSIM_010006
Description

A unit of electric charge defined as the charge carried by a single proton. It is a fundamental physical constant, with a value of exactly 1.602176634 × 10^-19 coulombs.

Sub Class Of electric charge c

essential dynamics analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_001852
Description

Essential dynamics is an analysis technique that simplifies the complex motions of a molecule down to a few key, large-scale movements that describe most of its overall fluctuation. It uses a mathematical method called Principal Component Analysis (PCA) to identify the dominant collective motions from a simulation trajectory. This allows researchers to focus on the most functionally important dynamic events, such as the hinge-bending of a protein domain, while filtering out small, random thermal noise. (UNVERIFIED)

Sub Class Of dynamics analysis c

repulsion interaction parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_002001
Description

A numerical coefficient in a force field that defines the stiffness of the short-range repulsive barrier between two atoms. In the Lennard-Jones potential, this is the C12 term (4ϵσ^12), approximating the Pauli exclusion principle that prevents atomic overlap. For experts, while physically approximating an exponential repulsion, the 1/r ^12 form is chosen primarily for computational efficiency as the square of the dispersion term. (UNVERIFIED)

Sub Class Of Lennard-Jones parameters c

nucleic acid structural database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000693
Description

A structural database dedicated to collecting and providing 3D atomic coordinates and related information for nucleic acids such as DNA and RNA, including their various forms and complexes. These databases support research into gene regulation, RNA function, and nucleic acid-drug interactions. The Nucleic Acid Database (NDB) is a key example. (UNVERIFIED)

Sub Class Of structural database c

NMR analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000371
Description

NMR analysis in a simulation context refers to the methods used to calculate NMR-related properties from a molecular dynamics trajectory. This allows for a direct comparison between the simulation results and experimental data from Nuclear Magnetic Resonance (NMR) spectroscopy. For experts, this includes calculating observables like J-couplings, nuclear Overhauser effects (NOEs), and relaxation times, which are crucial for validating the accuracy of the simulation. (UNVERIFIED)

Sub Class Of structural analysis c
Super Class Of r-6 weighted distance averaging analysis c

solute-solvent potential energy format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001113
Description

This file format stores a three-dimensional map of the interaction energy between a central molecule (the solute) and the surrounding solvent. The data is typically stored on a 3D grid, where the value at each grid point represents the potential energy a solvent molecule would experience at that location. This format is used to visualize the energetic landscape around a solute, highlighting regions of strong attraction or repulsion that dictate how solvent molecules will arrange themselves. (UNVERIFIED)

Sub Class Of solvent analysis format c

residual chemical shift anisotropy restraint simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_001824
Description

A residual chemical shift anisotropy (RCSA) restraint simulation is a technique that uses NMR RCSA data to guide a molecular dynamics simulation. RCSA provides information about the orientation of the chemical shift tensor for specific atoms, which is sensitive to local structure and dynamics. For experts, RCSA restraints offer a complementary source of experimental data for refining the accuracy of simulated structural ensembles. (UNVERIFIED)

Sub Class Of restrained simulation method c

coarse grained solvent model c

IRI http://purl.obolibrary.org/obo/MOLSIM_000070
Description

A solvent model designed for compatibility with coarse-grained (CG) solute force fields, where the solvent representation is also simplified to match the reduced resolution of the solute. This can involve explicit CG solvent particles where each particle represents multiple (e.g., 3-4) real water molecules (like MARTINI water), or implicit CG solvent models that adapt continuum concepts to the coarse-grained scale. These models drastically reduce the number of degrees of freedom associated with the solvent, enabling simulations of very large systems or very long timescales. (UNVERIFIED)

Sub Class Of solvation model c

in house database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000721
Description

A database developed and maintained within a specific organization (e.g., a pharmaceutical company, a research institute) for its internal use, not generally accessible to the public. These often contain proprietary data, specialized collections, or information tailored to the organization's specific research needs. (UNVERIFIED)

Sub Class Of private source c

base unit c

IRI http://purl.obolibrary.org/obo/UO_0000045
Description

A unit which is one of a particular measure to which all measures of that type can be related.

Sub Class Of unit c
Super Class Of second c

coarse-graining c

IRI http://purl.obolibrary.org/obo/MOLSIM_002003
Description

Coarse-graining is a computational modeling method used to simplify a molecular system by grouping multiple atoms into single interaction sites or "beads" based on chemical or structural logic. This reduction in the number of degrees of freedom allows researchers to simulate much larger biological assemblies and access longer timescales than are feasible with all-atom models. For experts, the process involves defining a mapping operator to project atomistic coordinates onto coarse-grained sites and deriving effective potentials (via methods like Boltzmann Inversion or Force Matching) to reproduce the structural or thermodynamic properties of the underlying fine-grained system. (UNVERIFIED)

Sub Class Of modeling method c

chemical similarity c

IRI http://purl.obolibrary.org/obo/MOLSIM_000145
Description

Chemical similarity considers the resemblance between ligands based on their chemical properties, functional groups, and predicted physicochemical characteristics, often quantified using chemical fingerprints or descriptors. While related to structural similarity, it focuses more on the chemical nature of the changes between ligands. Selecting chemically similar pairs can help ensure smooth transformations in alchemical calculations. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

GROMOS-87 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001977
Description

GROMOS-87 is one of the earliest iterations of the GROMOS family of united-atom force fields for biomolecular simulation. Developed in the late 1980s, it established the foundational parameters for united-atom modeling of proteins and nucleic acids, treating non-polar hydrogens implicitly to save computational cost. For experts, while historically significant, this parameter set is generally considered obsolete due to inaccuracies in vacuum-to-water transfer energies and has been superseded by the 96 and 53/54 series. (UNVERIFIED)

Sub Class Of united-atom force field c

genetic algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_000093
Description

A class of heuristic optimization algorithms inspired by the process of natural selection and evolution. They maintain a population of candidate solutions (chromosomes) that evolve over generations through processes like selection, crossover (recombination), and mutation, guided by a fitness function that evaluates solution quality. Genetic algorithms are often used for complex optimization problems where exact methods are infeasible (UNVERIFIED).

Sub Class Of optimal transformation path algorithm c

CHARMM-GUI c

IRI http://purl.obolibrary.org/obo/MOLSIM_001927
Description

CHARMM-GUI is a powerful and widely used web server that provides a graphical interface for generating input files for a wide variety of complex biomolecular simulations. It automates many difficult and error-prone setup tasks, such as building lipid membranes, solvating proteins, and preparing systems for free energy calculations. For simulation experts and novices alike, CHARMM-GUI is an invaluable resource that greatly simplifies the preparation of systems for use with simulation packages like CHARMM, NAMD, GROMACS, and AMBER. (UNVERIFIED)

Sub Class Of

GAUSSIAN cartesian format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001096
Description

The Gaussian Cartesian format is a straightforward way to define a molecule's structure within an input file for the Gaussian quantum chemistry program. It consists of a simple list where each line specifies an atom's element symbol followed by its X, Y, and Z coordinates in space. This format is easy to generate and read, making it a common choice for specifying molecular geometries, especially when converting from standard structure files like PDBs. (UNVERIFIED)

Sub Class Of molecular structure format c

volt per meter c

IRI http://purl.obolibrary.org/obo/UO_0000268
Description

The volt per meter is a unit of electric field strength equal to the a potential difference of 1 volt existing between two points that are 1 meter apart.

Sub Class Of volt per meter based unit c

mdfrc format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000894
Description

An Amber trajectory format that specifically stores the forces acting on each atom in the system at different points in time. It provides a detailed record of the interatomic forces calculated during a simulation. This format is useful for debugging or detailed force analysis. (UNVERIFIED)

Sub Class Of molecular trajectory format c

particle mesh Ewald c

IRI http://purl.obolibrary.org/obo/MOLSIM_000054
Description

A highly efficient grid-based algorithm for calculating long-range electrostatic interactions in periodic systems, based on the Ewald summation technique. It splits the calculation into a short-range part computed directly in real space and a long-range part computed efficiently in reciprocal space using Fast Fourier Transforms (FFTs) on a grid. PME is a standard method for accurate electrostatics in biomolecular simulations (UNVERIFIED).

Sub Class Of Ewald summation c
Super Class Of smooth PME algorithm c

solvent pair distribution format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001107
Description

This file format stores a 3D map that shows the probability of finding a solvent molecule at various positions around a central solute molecule. The value at each point in the grid, known as g(r), indicates whether the solvent is more or less likely to be found there compared to a purely random distribution. This format is used to visualize the detailed structure of the solvent shells, with peaks in the data corresponding to regions of high solvent density, such as in hydrogen bonding sites. (UNVERIFIED)

Sub Class Of solvent analysis format c

macromolecular structure format (deprecated) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001087
Description

A file format specifically designed to describe the complex, three-dimensional structures of large biological molecules like proteins and DNA. These formats accommodate hierarchical descriptions, such as chains and residues, in addition to atomic coordinates. Examples include the widely used PDB and mmCIF formats. (UNVERIFIED)

Sub Class Of molecular structure format c

3D-RISM model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001523
Description

The 3D-RISM model is a powerful computational method that generates a three-dimensional map of the most probable locations of solvent molecules around a solute. It is an extension of the RISM theory that solves the integral equations on a 3D grid, yielding the spatial distribution functions of solvent atoms in the presence of a solute molecule. This method provides a detailed picture of the hydration shell and can be used to calculate solvation free energies, making it a valuable tool for analyzing solute-solvent interactions. (UNVERIFIED)

Sub Class Of RISM model c

minimization convergence criteria c

IRI http://purl.obolibrary.org/obo/MOLSIM_001169
Description

A type of integration parameter that defines the conditions under which an energy minimization process is considered complete and will terminate. These criteria are based on the magnitude of the forces acting on the atoms. The goal of minimization is to satisfy these minimization convergence criteria to find a stable, low-energy structure. These are often set using keywords like ntmin or emtol. (UNVERIFIED)

Sub Class Of integration parameter c
Super Class Of

protein structure determination method c

IRI http://purl.obolibrary.org/obo/MOLSIM_000200
Description

Protein structure determination methods refer to the experimental techniques used to obtain high-resolution three-dimensional atomic coordinates of protein molecules. These methods provide the foundational structural data used in biomolecular simulations, structure-based drug design, and understanding protein function. The primary techniques include X-ray crystallography, NMR spectroscopy, and cryo-electron microscopy. (UNVERIFIED)

Sub Class Of experimental method c
Super Class Of

milestoning c

IRI http://purl.obolibrary.org/obo/MOLSIM_000853
Description

Milestoning is an enhanced sampling technique used to compute long-timescale kinetics (like reaction rates or mean first passage times) by decomposing the process into transitions between predefined interfaces, called milestones, that separate regions of configuration space. Short simulations are run starting from each milestone to collect statistics about transitions to adjacent milestones. These local transition probabilities and times are then combined to reconstruct the global kinetics of the overall process. (UNVERIFIED)

Sub Class Of enhanced sampling c

molecular structure visualization tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_002041
Description

A visualization tool designed specifically to render and interactively display three-dimensional models of molecular structures, complexes, and dynamic simulation trajectories. These tools are used to visually inspect atomic coordinates, molecular surfaces, and spatial relationships. (UNVERIFIED)

Sub Class Of visualization tool c
Super Class Of

cation-π interactions c

IRI http://purl.obolibrary.org/obo/MOLSIM_000188
Description

A specific type of non-covalent electrostatic interaction involving the attractive force between a cation (a positively charged ion, e.g., Na+,K+,Lys+,Arg+) and the electron-rich face of an aromatic π-system (like benzene, or the side chains of Phe, Tyr, Trp, His). The cation is attracted to the negative electrostatic potential above and below the plane of the aromatic ring, which arises from its quadrupole moment. These interactions contribute significantly to protein structure stabilization and molecular recognition, including ligand binding. (UNVERIFIED)

Sub Class Of electrostatic interactions c

GPCRmd c

IRI http://purl.obolibrary.org/obo/MOLSIM_001952
Description

GPCRmd is a community-driven database and web platform specifically focused on molecular dynamics simulations of G-protein-coupled receptors (GPCRs). It provides a repository for storing simulation trajectories of this important protein family, along with tools for interactive visualization and analysis. This resource aids researchers in understanding the complex signaling mechanisms and conformational landscapes of GPCRs.

Sub Class Of database web server c

RNA system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001907
Description

An RNA system is a specific type of nucleic acid system where the primary molecule being studied is RNA. Unlike DNA, RNA molecules often fold into complex and specific three-dimensional structures to perform their biological functions. For experts, simulating these systems is crucial for understanding the principles of RNA folding and the structural basis of RNA catalysis. (UNVERIFIED)

Sub Class Of nucleic acid system c

continuous wavelet transform c

IRI http://purl.obolibrary.org/obo/MOLSIM_001750
Description

The continuous wavelet transform is a mathematical technique used to analyze how the frequency of motions in a simulation changes over time. Unlike a standard Fourier transform which reveals the overall frequencies present, this method decomposes a time-series signal, such as atomic fluctuations, into components that are localized in both time and frequency. In simulation analysis, this allows researchers to identify transient or intermittent dynamic events, such as a protein loop temporarily becoming more flexible or a binding event occurring at a specific moment. (UNVERIFIED)

Sub Class Of signal processing algorithm c

DSSP algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001746
Description

The DSSP (Define Secondary Structure of Proteins) algorithm is the most widely used and standard algorithm for assigning secondary structure to the residues of a protein. It works by identifying the characteristic hydrogen-bonding patterns between the backbone amide and carbonyl groups that define alpha-helices and beta-sheets. The detailed, per-residue output of the DSSP algorithm is a standard tool for protein structure analysis and validation. (UNVERIFIED)

Sub Class Of secondary structure assignment algorithm c

addles c

IRI http://purl.obolibrary.org/obo/MOLSIM_001658
Description

The addles tool is a utility used to prepare a molecular system for a Locally Enhanced Sampling (LES) simulation. It modifies the system's topology file to create multiple, non-interacting copies of a specified region of the molecule. Experts use this program to set up the complex topology required by the LES method, which enhances the conformational sampling of a targeted molecular region. (UNVERIFIED)

Sub Class Of topology and coordinate generation tool c

GAMESS-UK c

IRI http://purl.obolibrary.org/obo/MOLSIM_000779
Description

A quantum chemistry software package developed in the UK, distinct from GAMESS-US, though sharing common historical roots. It offers a broad range of ab initio QM methods (HF, MP2, CCSD(T), MCSCF, DFT) and includes capabilities for QM/MM calculations. Like other QM packages, it is primarily used for electronic structure calculations and parameterization rather than large-scale classical MD. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

database source c

IRI http://purl.obolibrary.org/obo/MOLSIM_000689
Description

An organized, typically electronic, collection of structured information or data that can be easily accessed, managed, and updated. In biomolecular sciences, databases store vast amounts of information like molecular structures, sequences, experimental results, and simulation trajectories. They serve as central repositories for the research community. (UNVERIFIED)

Sub Class Of data source c
Super Class Of

Nose-Hoover chain thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_001731
Description

The Nosé-Hoover chain thermostat is an extension of the standard Nosé-Hoover thermostat used to control temperature in a molecular dynamics simulation. It improves the algorithm by coupling the main thermostat particle to a second thermostat particle, which is in turn coupled to a third, and so on, forming a chain. This chaining procedure is crucial for ensuring correct and efficient thermal equilibration (ergodicity), particularly for small or stiff systems where the original Nosé-Hoover thermostat can perform poorly. (UNVERIFIED)

Sub Class Of thermostat algorithm c

pressure control parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001179
Description

A type of thermodynamic ensemble parameter that specifies how the pressure of the system is maintained in simulations run at constant pressure. This includes the choice of barostat algorithm and the target pressure value. These pressure control parameter settings are essential for simulations in the NPT ensemble, allowing the system's density to equilibrate. These are often set with keywords like pres0 and ntp. (UNVERIFIED)

Sub Class Of thermodynamic ensemble parameter c
Super Class Of

residue template tool c

IRI http://purl.obolibrary.org/obo/MOLSIM_001972
Description

A residue template tool is a utility that generates the library files defining a molecule's internal topology, connectivity, and atom names. It converts structural data into the specific format (such as an AMBER 'prep' or 'lib' file) required by system building programs to recognize the molecule as a discrete unit. These tools are necessary for incorporating new or non-standard residues into a larger simulation topology. (UNVERIFIED)

Sub Class Of topology and parameterization tool c
Super Class Of

aug-cc-pVDZ-RI c

IRI http://purl.obolibrary.org/obo/MOLSIM_000551
Description

The aug-cc-pVDZ-RI basis set is the auxiliary fitting basis optimized for use with Resolution of Identity (RI) or Density Fitting (DF) approximations when the main orbital basis is aug-cc-pVDZ. It allows the computational speed-up provided by RI/DF methods to be applied effectively even when diffuse functions are included in the orbital basis description. (UNVERIFIED)

Sub Class Of split-valence c

QUICK c

IRI http://purl.obolibrary.org/obo/MOLSIM_001592
Description

QUICK is a quantum chemistry software package that specializes in performing Density Functional Theory (DFT) calculations with high efficiency. It is particularly known for its implementation of linear-scaling algorithms, which allow it to handle very large molecular systems containing thousands of atoms. This makes it a powerful tool for studying the electronic properties of large biomolecules and materials that would be too computationally expensive for traditional DFT programs. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

space group c

IRI http://purl.obolibrary.org/obo/MOLSIM_001508
Description

A space group is a mathematical description of the symmetry of a crystal structure. It defines the set of symmetry operations, such as rotations and translations, that can be applied to the crystal's asymmetric unit to generate the entire, infinitely repeating lattice. For experts, the space group is a fundamental property determined from the diffraction pattern that dictates how the molecules are packed in the crystal. (UNVERIFIED)

Sub Class Of crystallographic model component c

MNDO c

IRI http://purl.obolibrary.org/obo/MOLSIM_000816
Description

Modified Neglect of Diatomic Overlap, an all-valence-electron semi-empirical method based on the NDDO approximation scheme, representing an improvement over CNDO and INDO. It was parameterized to reproduce experimental heats of formation, geometries, and dipole moments for a range of molecules. It formed the basis for subsequent developments like AM1 and PM3 (UNVERIFIED).

Sub Class Of NDDO c

phosaa10 parameter set c

IRI http://purl.obolibrary.org/obo/MOLSIM_001500
Description

The phosaa10 parameter set provides the specific force field parameters needed to simulate phosphorylated amino acids, such as phosphoserine or phosphotyrosine. It is designed to be compatible with the AMBER ff10 protein force field. For researchers studying signaling proteins, this parameter set is essential for accurately modeling the structural and electrostatic effects of protein phosphorylation. (UNVERIFIED)

Sub Class Of force field parameter set c

LANL2TZ c

IRI http://purl.obolibrary.org/obo/MOLSIM_000520
Description

LANL2TZ signifies a basis set combination using a Los Alamos ECP (usually LANL2) for core electrons, paired with a Triple-Zeta (TZ) quality basis set for describing the valence electrons. Using three functions per valence orbital provides significantly more flexibility and accuracy for the valence description compared to the double-zeta LANL2DZ basis, albeit at a higher computational cost. (UNVERIFIED)

Sub Class Of split-valence c

velocity-Verlet middle integrator c

IRI http://purl.obolibrary.org/obo/MOLSIM_001733
Description

This is a specific implementation of the velocity-Verlet algorithm, often used in simulations with multiple time steps. In this scheme, the thermostat or other updates are applied at the "middle" of the integration step, after the velocities have been partially updated. This particular sequence of operations can improve the stability and accuracy of the simulation, especially when coupling the system to an external temperature or pressure bath. (UNVERIFIED)

Sub Class Of integration algorithm c

dalton based unit c

IRI http://purl.obolibrary.org/obo/UO_1000221
Sub Class Of mass unit c
Super Class Of dalton c

atom selection analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000680
Description

An atom selection method is the procedure or syntax used to specify a particular group of atoms within a molecular system for an analysis or modification. This is typically done using a text-based selection language that allows users to choose atoms based on properties like name, residue, or position. For experts, mastering the atom selection syntax of their analysis tools is fundamental for performing any targeted calculation, such as measuring a specific distance or calculating the RMSD of the protein backbone. (UNVERIFIED)

Sub Class Of system setup modeling c

specific interaction c

IRI http://purl.obolibrary.org/obo/MOLSIM_000060
Description

An interaction whose strength and occurrence depend critically on the specific chemical identities, geometries, and relative orientations of the interacting partners. These often involve directional components and chemical complementarity, such as hydrogen bonds, salt bridges (ionic interactions), or π-stacking, playing key roles in molecular recognition, binding specificity, and defined structural motifs. They contrast with more general, less directional interactions like isotropic Van der Waals forces. (UNVERIFIED)

Sub Class Of interaction type c

PM3MM c

IRI http://purl.obolibrary.org/obo/MOLSIM_000820
Description

A hybrid method that combines the PM3 semi-empirical quantum mechanical treatment for a part of the system (e.g., the active site of an enzyme) with a faster molecular mechanics (MM) force field for the remainder (e.g., the surrounding protein or solvent). This QM/MM approach allows computationally feasible studies of large systems where quantum effects are important locally. It leverages PM3's balance of speed and accuracy for the QM region (UNVERIFIED).

Sub Class Of PM3 c

V-rescale thermostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000802
Description

Velocity Rescaling thermostat, an algorithm that modifies the Berendsen weak coupling approach to correctly generate configurations from the canonical (NVT) ensemble. It rescales velocities based on the kinetic energy difference but includes a stochastic term related to the system's kinetic energy fluctuations, ensuring proper statistical sampling. It combines the simplicity of Berendsen-like scaling with rigorous ensemble generation (UNVERIFIED).

Sub Class Of thermostat algorithm c

DFTB parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001249
Description

A QM/MM parameter that controls a Density Functional Tight Binding (DFTB) calculation, which is a fast, approximate quantum mechanical method. These parameters define the settings for the DFTB calculation within a QM/MM simulation. The DFTB parameter settings are crucial for efficient QM/MM simulations. These are often set in a specific dftb section of the input file. (UNVERIFIED)

Sub Class Of QM/MM parameter c
Super Class Of

isotropically distributed ensemble analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000451
Description

Analysis method used to check whether a collection of molecular structures, such as from a simulation, is oriented randomly in space. The analysis calculates the distribution of the molecules' orientations to see if there is any preferred alignment or if they are uniformly distributed in all directions, which is a condition known as isotropy. This check is important for validating certain theoretical models or for ensuring that a simulation has not introduced an artificial bias in the rotational motion of the molecules. (UNVERIFIED)

Sub Class Of dynamics analysis c

EMIL free energy analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000415
Description

The EMIL (Energy and Motion from an Implicit Liquid) free energy method is a computational technique for calculating the free energy profile along a specific coordinate. It works by determining the average force exerted by the solvent on the solute at different points along a pathway and then integrating this force to obtain the potential of mean force. This provides an efficient way to map out the energetic landscape of a conformational change or binding process. (UNVERIFIED)

Sub Class Of free energy calculation analysis c

coordination number c

IRI http://purl.obolibrary.org/obo/MOLSIM_001348
Description

A type of structural property that represents the average number of neighboring particles within a certain distance of a central particle. For an ion in water, the Coordination Number typically refers to the number of water molecules in its first solvation shell. It is a fundamental descriptor of local solvent structure and is used to validate force fields. This value is often abbreviated as CN. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of normalized neighbor count c

excited state c

IRI http://purl.obolibrary.org/obo/MOLSIM_000108
Description

An electronic state of a molecule where one or more electrons have been promoted to higher energy levels than in the ground electronic state, typically following the absorption of light (photoexcitation). Excited states have different electron distributions, geometries, and reactivity compared to the ground state and are central to photochemistry and spectroscopy (like fluorescence). Simulating excited states requires quantum mechanical methods (like TD-DFT or CASSCF) as classical force fields are typically parameterized only for the ground electronic state. (UNVERIFIED)

Sub Class Of ligand state c

AM1-BCC c

IRI http://purl.obolibrary.org/obo/MOLSIM_000205
Description

A widely used method for assigning atom-centered partial charges to organic molecules, particularly suitable for general force fields like GAFF (stands for Austin Model 1 - Bond Charge Correction). It involves a two-step process: first, charges are calculated using the computationally inexpensive semi-empirical AM1 quantum mechanical method; second, empirical Bond Charge Corrections (BCCs) are added to these initial charges based on atom and bond types to make them better reproduce the electrostatic potential obtained from higher-level QM calculations (typically HF/6-31G*). AM1-BCC aims to provide a balance between speed and accuracy for charging diverse organic ligands. (UNVERIFIED)

Sub Class Of ligand charge model c

root mean square error analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000129
Description

Root Mean Square Error (RMSE) is a commonly used error metric that measures the average magnitude of the errors between predicted values and observed values. It is calculated as the square root of the average of the squared differences between predictions and actual values. RMSE penalizes larger errors more heavily due to the squaring term and is reported in the same units as the original variable. (UNVERIFIED)

Sub Class Of error metrics analysis c

directive information entity c

IRI http://purl.obolibrary.org/obo/IAO_0000033
Description

An information content entity whose concretizations indicate to their bearer how to realize them in a process.

Sub Class Of information content entity c
Restriction is about op some
Super Class Of

atom name c

IRI http://purl.obolibrary.org/obo/MOLSIM_001755
Description

An atom name is a unique label given to an atom within a specific residue to distinguish it from other atoms of the same element. For example, in an amino acid, the names 'CA' and 'CB' are used to differentiate the alpha-carbon from the beta-carbon.

Sub Class Of identifier c

semi-isotropic pressure scaling barostat c

IRI http://purl.obolibrary.org/obo/MOLSIM_000391
Description

A semi-isotropic position scaling barostat is a pressure control algorithm that couples the scaling of the x and y dimensions of the simulation box together, while allowing the z dimension to fluctuate independently. This method is specifically designed for simulating planar systems like lipid bilayers, where the pressure in the plane of the membrane is different from the pressure perpendicular to it. For experts, this is the standard barostat choice for ensuring the correct tension and area per lipid in membrane simulations. (UNVERIFIED)

Sub Class Of barostat algorithm c

quantum mechanics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000173
Description

The fundamental physical theory describing the behavior of nature at the scale of atoms and subatomic particles, forming the theoretical basis for understanding chemical bonding and molecular properties. In computational chemistry, its principles are used to develop mathematical models and simulation methods for predicting molecular structures, energies, and reactivity. It provides the underlying rules for how electrons and nuclei interact within a molecule (UNVERIFIED).

Sub Class Of theoretical approach c
Super Class Of

asymmetric unit c

IRI http://purl.obolibrary.org/obo/MOLSIM_001495
Description

The asymmetric unit is the smallest part of a crystal's repeating structure from which the entire crystal can be generated by applying symmetry operations. It can contain one or more molecules, or even just a fraction of a single molecule. For crystallographers, determining the atomic coordinates within the asymmetric unit is the primary goal of a structure determination experiment. (UNVERIFIED)

Sub Class Of crystallographic model component c

Quantum ESPRESSO c

IRI http://purl.obolibrary.org/obo/MOLSIM_000180
Description

An integrated suite of open-source software for quantum mechanical electronic structure calculations and materials modeling, primarily based on Density Functional Theory (DFT), plane waves, and pseudopotentials. While extremely powerful for condensed matter physics and materials science, and capable of ab initio MD (Born-Oppenheimer MD), its typical application domain and methods (plane waves) differ from those commonly used for classical MD or QM/MM studies of large solvated biomolecules in packages like AMBER or GROMACS. It is more suited for periodic systems. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

primary database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000690
Description

A type of database that archives original data directly submitted by researchers or generated through primary experimental efforts. These databases are foundational resources, providing the raw material (e.g., atomic coordinates, gene sequences) upon which further analysis and knowledge discovery are built. Examples include repositories for protein structures or DNA sequences. (UNVERIFIED)

Sub Class Of database source c
Super Class Of

conserved quantity c

IRI http://purl.obolibrary.org/obo/MOLSIM_001331
Description

A type of thermodynamic property that represents a value that should remain constant throughout a simulation in a specific statistical ensemble. In a standard NVE simulation, the total energy is the conserved quantity, and its stability is a primary check of the simulation's numerical integrity. In some advanced methods, a modified energy, sometimes labeled Ẽ, is conserved instead. This value is often reported in log files as Conserved E or Total E. (UNVERIFIED)

Sub Class Of thermodynamic property c

measurement unit label c

IRI http://purl.obolibrary.org/obo/IAO_0000003
Description

A measurement unit label is as a label that is part of a scalar measurement datum and denotes a unit of measure.

Sub Class Of datum label c
In Range Of has measurement unit label op
Super Class Of length unit c

cutoff scheme c

IRI http://purl.obolibrary.org/obo/MOLSIM_002032
Description

A configuration parameter that selects the algorithmic strategy used to generate neighbor lists and truncate non-bonded interactions. It dictates whether the neighbor search is performed based on individual atoms or charge-neutral groups, and how the buffer zone is managed to permit infrequent list updates. For experts, modern engines favor the "Verlet" scheme (buffered neighbor lists) over the legacy "Group" scheme, as the former supports efficient parallelization on GPUs and ensures better energy conservation with PME. (UNVERIFIED)

Sub Class Of non-bonded interaction parameter c

cube format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000913
Description

The Gaussian cube file format (.cube) is a text-based format for storing scalar data (like electron density, electrostatic potential, or molecular orbital values) on a regular three-dimensional grid. It includes header information defining the grid origin, dimensions, axis vectors, and the atomic coordinates, followed by the data values listed for each grid point in sequence. This format is widely used for visualizing volumetric properties derived from Gaussian and other QM calculations. (UNVERIFIED)

Sub Class Of volumetric data format c

adaptive force bias c

IRI http://purl.obolibrary.org/obo/MOLSIM_000846
Description

Adaptive force bias is an enhanced sampling technique where a biasing force is gradually added to the simulation to counteract the system's natural forces along chosen slow degrees of freedom (collective variables). This bias is adaptively updated based on the average force the system experiences along these variables in the already explored regions. The goal is to accelerate sampling by effectively flattening the free energy landscape along the selected coordinates. (UNVERIFIED)

Sub Class Of enhanced sampling c

enforced rotation simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_002016
Description

A simulation method that forces a specific part of a molecular system, such as a protein subunit, to spin around a defined axis. An external potential is applied to a group of atoms to induce rotation at a constant angular velocity or under a constant torque while the rest of the system responds dynamically. For experts, this non-equilibrium technique is typically implemented using flexible constraints or moving reference potentials and is used to study rotary motors like ATP synthase or to mechanically induce conformational changes. (UNVERIFIED)

Sub Class Of steered dynamics c

Gaussian-shaped constraint simulation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000642
Description

A Gaussian-shaped constraint simulation is a type of restrained simulation where the artificial potential used to guide the system has the mathematical form of a Gaussian function. This provides a smooth, harmonic-like restraint near the target value but becomes weaker further away. For experts, this type of soft restraint can be useful in enhanced sampling methods like metadynamics or for gently guiding a system without introducing excessively large forces. (UNVERIFIED)

Sub Class Of restrained simulation method c

simulation parameter format c

IRI http://purl.obolibrary.org/obo/MOLSIM_002065
Description

A data format that specifies the control variables, algorithmic settings, and thermodynamic conditions required to execute a computational simulation run. It dictates exactly how the simulation engine will propagate the system over time, defining parameters such as the integration algorithm, time step, total duration, non-bonded cutoff distances, and the specific thermostat and barostat algorithms used for temperature and pressure coupling. For experts, files in this format (such as GROMACS .mdp or AMBER mdin) define the physical ensemble and numerical methods of the computational experiment, acting as the primary instruction set for the core molecular dynamics engine. (UNVERIFIED)

Sub Class Of simulation input format c
Super Class Of

diffusion coefficient c

IRI http://purl.obolibrary.org/obo/MOLSIM_001392
Description

A type of kinetic property that measures the rate at which particles spread out over time due to random thermal motion. It is a fundamental measure of translational mobility in a liquid or gas. The diffusion coefficient is typically calculated from the mean-square displacement of particles in a simulation. This is often denoted D or self-diffusion coefficient. (UNVERIFIED)

Sub Class Of kinetic property c

Mulliken Ewald summation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000385
Description

Mulliken Ewald summation is a method for efficiently calculating long-range electrostatic interactions in periodic simulation systems. It is a specific variant of the Ewald summation technique that uses Mulliken charges, which are derived from a quantum mechanical calculation, to represent the charge distribution. This allows for an accurate treatment of electrostatics in QM/MM simulations where a quantum region is embedded within a classical periodic environment. (UNVERIFIED)

Sub Class Of Ewald summation c

resolution-based force field c

IRI http://purl.obolibrary.org/obo/MOLSIM_000735
Description

A type of force field classified by the level of structural detail, or resolution, used to represent the system's components. This classification distinguishes between models that represent every atom explicitly versus those that group atoms into larger pseudo-atoms or beads. The resolution impacts the balance between computational efficiency and physical accuracy. (UNVERIFIED)

Sub Class Of force field c
Super Class Of

secondary structure c

IRI http://purl.obolibrary.org/obo/MOLSIM_001781
Description

Secondary structure refers to the regular, repeating local shapes, like spirals and zig-zags, that a protein or nucleic acid chain folds into. In proteins, this refers to common motifs such as alpha-helices and beta-sheets, which are stabilized by a regular pattern of hydrogen bonds between backbone atoms. Identifying and tracking the secondary structure is a fundamental analysis for understanding a protein's overall architecture and how its shape changes during a simulation. (UNVERIFIED)

Sub Class Of structural property c
Super Class Of

turn c

IRI http://purl.obolibrary.org/obo/MOLSIM_001789
Description

A turn is a short, tight loop in a protein chain that abruptly changes its direction. It is a secondary structure motif, typically composed of three to five amino acid residues, that reverses the direction of the polypeptide backbone and is often stabilized by an internal hydrogen bond. Turns are extremely common and are essential for creating a protein's compact, folded shape by connecting the ends of other secondary structure elements like alpha-helices and beta-sheets. (UNVERIFIED)

Sub Class Of secondary structure c

toml format c

IRI http://purl.obolibrary.org/obo/MOLSIM_000320
Description

TOML (Tom's Obvious, Minimal Language) is a configuration file format that emphasizes human readability using a minimal syntax of key-value pairs and tables. In biomolecular simulation, it is increasingly used for defining simulation input parameters, workflow configurations, and software package metadata in modern Python-based environments. (UNVERIFIED)

Sub Class Of general data format c

cyanarest_to_amberRST c

IRI http://purl.obolibrary.org/obo/MOLSIM_001627
Description

The cyanarest_to_amberRST script is a utility for converting structural restraint files from the CYANA format into the format used by AMBER. CYANA is a popular program for protein structure determination from NMR data, and this script provides a bridge to use those experimental restraints in an AMBER simulation. For researchers performing NMR-restrained simulations, this script is a key tool for incorporating experimental data into their calculations. (UNVERIFIED)

Sub Class Of utility script c

matrix diagonalization analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000985
Description

A core mathematical technique from linear algebra used to simplify a square matrix by finding its characteristic values (eigenvalues) and directions (eigenvectors), effectively transforming it into a diagonal matrix. In biomolecular simulations, this is heavily used in methods like Principal Component Analysis (PCA) to identify dominant modes of collective atomic motion from covariance matrices, or in Normal Mode Analysis (NMA) to find vibrational frequencies from Hessian matrices. Diagonalization reveals the fundamental components or modes underlying complex data or system dynamics (UNVERIFIED).

Sub Class Of mathematical analysis c

cuttable bond list format c

IRI http://purl.obolibrary.org/obo/MOLSIM_001100
Description

This is a simple text file format that lists specific chemical bonds within a molecule that are allowed to be broken by a setup program. It is used as input for certain quantum mechanical fragmentation methods, where a large molecule is broken down into smaller pieces for easier calculation. By specifying which bonds are "cuttable," the user can guide the fragmentation process to ensure that it occurs at chemically sensible locations, such as between different functional groups. (UNVERIFIED)

Sub Class Of simulation input format c

ZANDO c

IRI http://purl.obolibrary.org/obo/MOLSIM_000826
Description

An all-valence-electron semi-empirical method likely based on the INDO or NDDO approximation schemes, developed by Zhidomirov and coworkers. It represents one of the many variations within the semi-empirical framework, likely with specific parameterizations or modifications to the integral approximations aimed at particular applications or accuracy improvements. Note: This method is less common than MNDO/AM1/PMx variants, and specific details might require consulting specialized literature (UNVERIFIED).

Sub Class Of NDDO c

protein family and domain database c

IRI http://purl.obolibrary.org/obo/MOLSIM_000704
Description

A secondary database that classifies proteins into families and identifies conserved domains based on sequence similarity, structural features, or functional annotations. These resources help predict protein function and understand evolutionary relationships. Examples include Pfam, InterPro, and SMART. (UNVERIFIED)

Sub Class Of secondary database c

pyresp_gen.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001578
Description

The pyresp_gen.py script is a utility used in the generation of Restrained Electrostatic Potential (RESP) charges, likely working in concert with other scripts like py_resp.py. Its specific role is often to generate the input files required for the quantum mechanical calculation that computes the electrostatic potential around the molecule. For users, this script automates the first stage of the RESP charge-fitting protocol. (UNVERIFIED)

Sub Class Of utility script c

mbondi3 c

IRI http://purl.obolibrary.org/obo/MOLSIM_001560
Description

The mbondi3 radii set is a specific list of atomic sizes used in computer simulations to improve the calculation of solvation energies. It is the third iteration of a "modified Bondi" radii set, developed for use with specific Generalized Born (GB) implicit solvent models within the AMBER software package. These radii have been empirically adjusted to provide better agreement between calculated and experimental solvation free energies, representing a refinement for specific GBSA methods. (UNVERIFIED)

Sub Class Of radii set c

Ewald summation c

IRI http://purl.obolibrary.org/obo/MOLSIM_000428
Description

Ewald summation is a mathematical technique for accurately and efficiently calculating the total electrostatic energy in a periodic system, such as a crystal or a simulation box with periodic boundary conditions. It cleverly splits the calculation of the long-range Coulomb interactions into two parts: a short-range part calculated in real space and a long-range part calculated in reciprocal (Fourier) space. The Ewald method and its modern implementations like PME are the gold standard for correctly handling electrostatics in biomolecular simulations. (UNVERIFIED)

Sub Class Of electrostatic interaction algorithm c
Super Class Of

Gaussian c

IRI http://purl.obolibrary.org/obo/MOLSIM_000175
Description

A comprehensive and widely used quantum chemistry software package, primarily focused on electronic structure calculations using ab initio methods, Density Functional Theory (DFT), and semi-empirical methods. While its core strength is QM, Gaussian can perform ONIOM (QM/MM) calculations and some limited molecular mechanics (MM) computations, making it potentially usable in biomolecular contexts, especially for parameterization or high-accuracy active site studies, but it's not typically used as a primary classical MD engine like AMBER or GROMACS. (UNVERIFIED)

Sub Class Of quantum chemistry engine c

ARPACK c

IRI http://purl.obolibrary.org/obo/MOLSIM_001656
Description

ARPACK is a software library for solving large-scale eigenvalue problems, which involve finding the characteristic modes and values of a large matrix. It is particularly efficient at finding a subset of eigenvalues and their corresponding eigenvectors, which is often what is needed in scientific computing. In biomolecular simulation, ARPACK is used in analysis methods like Normal Mode Analysis or Principal Component Analysis to calculate the dominant modes of molecular motion. (UNVERIFIED)

Sub Class Of library c

mathematical analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000383
Description

Mathematical analysis is the use of specific mathematical procedures to process and understand data. As a type of numerical analysis, it refers to the application of specific mathematical operations to analyze simulation data or system properties. This includes core procedures like matrix diagonalization of a covariance matrix to extract collective motions or numerical integration of in thermodynamic integration. Keywords associated with these methods include "eigenvector," "eigenvalue," "integral," "derivative," and "matrix." (UNVERIFIED)

Sub Class Of numerical analysis c
Super Class Of

stability in simulations c

IRI http://purl.obolibrary.org/obo/MOLSIM_000154
Description

This criterion considers the predicted or observed stability of the ligand and the protein-ligand complex during molecular dynamics simulations. Unstable ligands (e.g., prone to degradation) or complexes that rapidly dissociate or undergo major disruptive conformational changes might be poor candidates for certain types of analysis, particularly long equilibrium simulations needed for free energy calculations. Preliminary short simulations are sometimes used to assess this. (UNVERIFIED)

Sub Class Of ligand pairs selection criteria c

pairlist update frequency c

IRI http://purl.obolibrary.org/obo/MOLSIM_001189
Description

A non-bonded interaction parameter that specifies how often the list of neighboring atoms (the pairlist) is updated during the simulation. A more frequent update is more accurate but computationally more expensive. The pairlist update frequency is a key parameter for tuning simulation performance. This is often set with the keyword nsnb. (UNVERIFIED)

Sub Class Of non-bonded interaction parameter c

bonded metal model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001472
Description

A bonded metal model is a strategy for modeling metal ions in simulations where explicit covalent or coordinate bonds are defined between the metal center and its surrounding ligands. This approach is used for metal ions that are tightly bound in an active site and where the geometry of the coordination is a critical structural feature. For experts, this model requires the development of specific parameters for the bond, angle, and dihedral terms involving the metal ion. (UNVERIFIED)

Sub Class Of ion force field c

private source c

IRI http://purl.obolibrary.org/obo/MOLSIM_000720
Description

A data source that is not publicly accessible, such as an internal database maintained by a private company or research institution, or data held privately by an individual researcher. This category is important for acknowledging data origins that cannot be independently verified or accessed by the wider community. (UNVERIFIED)

Sub Class Of data source c
Super Class Of

minimum distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001987
Description

A measurement of the closest separation between two distinct groups of atoms in a structure. It is calculated by evaluating the Euclidean distance between all possible atom pairs from the two groups and selecting the smallest value. For experts, this metric is frequently used in trajectory analysis to define contact maps, monitor collision avoidance, or serve as a collective variable for pathway sampling. (UNVERIFIED)

Sub Class Of structural property c

driven adaptively biased molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000362
Description

Driven adaptively biased molecular dynamics is an enhanced sampling technique that combines two approaches to explore a specific molecular process. It uses an adaptive biasing potential, like in metadynamics, to overcome energy barriers, while simultaneously applying an external "driving" force to guide the system along a predefined reaction coordinate. This dual approach is particularly effective for efficiently calculating the free energy profile of a complex conformational change that is too slow to occur spontaneously. (UNVERIFIED)

Sub Class Of adaptively biased molecular dynamics c

bar_pbsa.py c

IRI http://purl.obolibrary.org/obo/MOLSIM_001636
Description

The bar_pbsa.py script is a utility that likely combines results from Bennett Acceptance Ratio (BAR) free energy calculations with endpoint MM/PBSA calculations. This hybrid approach may be used to refine free energy estimates or to decompose a rigorously calculated free energy into physically intuitive components. For experts in free energy methods, this script represents a tool for advanced, multi-step analysis workflows. (UNVERIFIED)

Sub Class Of utility script c

multiple-walkers metadynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_002057
Description

An enhanced sampling simulation method and a specific variant of metadynamics where multiple independent simulations (walkers) are run in parallel. All walkers simultaneously explore the conformational space and deposit Gaussian bias potentials into a single, shared history-dependent bias grid. This approach significantly accelerates the reconstruction of complex free energy surfaces while maintaining the exact theoretical accuracy of standard metadynamics. (UNVERIFIED)

Sub Class Of metadynamics c

UHF c

IRI http://purl.obolibrary.org/obo/MOLSIM_000814
Description

Unrestricted Hartree-Fock, a formulation of the Hartree-Fock method primarily used for open-shell systems (molecules with unpaired electrons). It allows alpha-spin electrons and beta-spin electrons to occupy different spatial orbitals, providing more flexibility than ROHF but resulting in a wavefunction that may not be a pure spin state (spin contamination). It is a type of ab initio calculation (UNVERIFIED).

Sub Class Of Hartree-Fock c

occurrent c

IRI http://purl.obolibrary.org/obo/BFO_0000003
Description

An entity that has temporal parts and that happens, unfolds or develops through time.

Sub Class Of entity c
In Domain Of has participant op
In Range Of participates in op
Super Class Of process c

interfacial environment c

IRI http://purl.obolibrary.org/obo/MOLSIM_002074
Description

An interfacial environment is a simulation context characterized by the boundary or interface between two distinct physical phases, such as a liquid-vapor (water-air) interface or a liquid-solid interface. The physical properties of the system change drastically across this boundary. For experts, simulating interfacial environments is critical for studying phenomena like surface tension, the behavior of surfactants, molecular adsorption, and the unique conformational changes that occur at phase boundaries. (UNVERIFIED)

Sub Class Of simulation environment c

coordinate projection analysis c

IRI http://purl.obolibrary.org/obo/MOLSIM_000946
Description

Coordinate projection involves mathematically projecting the complex, multi-dimensional motion observed in a simulation trajectory onto one or more chosen directions or coordinates of interest. These target coordinates could be simple geometric measures (like a distance or angle), or more complex vectors derived from methods like Principal Component Analysis (PCA). This projection simplifies the analysis by focusing on movement along specific, often functionally relevant, pathways. (UNVERIFIED)

Sub Class Of motion analysis c

Manhattan distance c

IRI http://purl.obolibrary.org/obo/MOLSIM_000079
Description

A type of statistical property representing the distance between two points in a multi-dimensional space, calculated as the sum of the absolute differences of their coordinates. The Manhattan distance is an alternative to the Euclidean distance for measuring similarity in clustering and data analysis. This is also known as the city block distance. (UNVERIFIED)

Sub Class Of statistical property c

trajectory analysis algorithm (deprecated) c

IRI http://purl.obolibrary.org/obo/MOLSIM_001747
Description
  • candidate for removal per https://github.com/CPCLab/molsim-ontology/issues/21

  • A trajectory analysis algorithm is a computational procedure that processes the time-series of atomic coordinates from a simulation to calculate a specific property. These algorithms are the engines of analysis tools, turning raw simulation output into interpretable scientific data. For experts, this includes the specific algorithms for tasks like imaging periodic trajectories, calculating correlation functions, or clustering conformations. (UNVERIFIED)

Sub Class Of algorithm c

adaptively biased molecular dynamics c

IRI http://purl.obolibrary.org/obo/MOLSIM_000361
Description

Adaptively biased molecular dynamics is an enhanced sampling method where an artificial energy bias is gradually built up during the simulation to push the system out of energetic traps. The bias is "adaptive" because it is updated on-the-fly based on the conformations the system has already visited. For experts, this category includes methods like metadynamics, where the history-dependent bias potential discourages resampling and facilitates the exploration of the free energy landscape along chosen collective variables. (UNVERIFIED)

Sub Class Of enhanced sampling c
Super Class Of

holonomic constraint c

IRI http://purl.obolibrary.org/obo/MOLSIM_001998
Description

A mathematical restriction applied to a molecular system that depends only on the coordinates of the particles and time, reducing the system's degrees of freedom. In molecular dynamics, these typically manifest as fixed bond lengths or rigid water geometries (f(r1,r2,…)=0). For experts, integrating these constraints requires specialized algorithms like SHAKE, RATTLE, or LINCS to solve for the Lagrange multipliers that maintain the geometric requirements. (UNVERIFIED)

Sub Class Of constraint and restraint parameter c

k-means clustering algorithm c

IRI http://purl.obolibrary.org/obo/MOLSIM_001708
Description

K-means is a widely used algorithm that partitions a simulation trajectory into a pre-determined number, 'k', of distinct conformational clusters. The algorithm iteratively assigns each structure to the nearest cluster center (centroid) and then recalculates the centroids, aiming to minimize the overall variance within each cluster. While computationally efficient and simple to implement, its performance depends on the user specifying the correct number of clusters beforehand and its tendency to find spherical-shaped clusters. (UNVERIFIED)

Sub Class Of clustering algorithm c

3D-RISM convergence tolerance c

IRI http://purl.obolibrary.org/obo/MOLSIM_001288
Description

A 3D-RISM parameter that specifies the convergence criterion for the self-consistent solution of the integral equations. A smaller 3D-RISM convergence tolerance results in a more accurate calculation but may require more iterations. This is a key parameter for controlling the accuracy of the 3D-RISM calculation. This is often set with the keyword tolerance. (UNVERIFIED)

Sub Class Of 3D-RISM parameter c

nudged elastic band parameter c

IRI http://purl.obolibrary.org/obo/MOLSIM_001240
Description

A type of enhanced sampling parameter that controls a nudged elastic band (NEB) simulation, which is used to find the minimum energy path between two conformations. These parameters define the number of intermediate structures (images) and the spring constants connecting them. The nudged elastic band parameter settings are essential for accurately mapping reaction pathways. These are often set in a specific neb section of the input file. (UNVERIFIED)

Sub Class Of enhanced sampling parameter c
Super Class Of

experimental refinement model c

IRI http://purl.obolibrary.org/obo/MOLSIM_001480
Description

An experimental refinement model is a computational model used to improve or interpret raw experimental data, particularly in structural biology. It combines a theoretical energy function, like a molecular mechanics force field, with terms that represent the experimental observations, such as X-ray diffraction patterns or NMR restraints. For experts, this process involves minimizing a hybrid target function to find a molecular structure that is both physically realistic and maximally consistent with the measured data. (UNVERIFIED)

Sub Class Of model c
Super Class Of bulk solvent model c

phase space overlap c

IRI http://purl.obolibrary.org/obo/MOLSIM_001412
Description

A specific type of distribution overlap that measures the overlap between the potential energy distributions of adjacent states in an alchemical free energy calculation. Sufficient Phase space overlap is a prerequisite for obtaining reliable free energy estimates. It is a key diagnostic for assessing the quality of alchemical simulations. This is often abbreviated as PSO. (UNVERIFIED)

Sub Class Of distribution overlap c

entity c

IRI http://purl.obolibrary.org/obo/BFO_0000001
In Domain Of denoted by op
In Range Of denotes op
Super Class Of

intrinsically disordered protein system c

IRI http://purl.obolibrary.org/obo/MOLSIM_001909
Description

An intrinsically disordered protein (IDP) system is a specific type of protein system focused on a protein that does not have a stable, folded three-dimensional structure. These proteins exist as a highly dynamic ensemble of different conformations. For experts, simulating IDPs is a major challenge that requires long simulations and advanced analysis techniques to characterize the broad range of structures they can adopt. (UNVERIFIED)

Sub Class Of protein system c
planned process c has_specified_output op some
information content entity c denotes op some
is_specified_output_of op some
quality c concretizes op some
planned process c has_specified_output op some

Object Properties

has participant op

IRI http://purl.obolibrary.org/obo/RO_0000057
Description

a relation between a process and a continuant, in which the continuant is somehow involved in the process

Super Property Of has_specified_output op
Domain occurrent c
Range continuant c

is_specified_output_of op

IRI http://purl.obolibrary.org/obo/OBI_0000312
Description

A relation between a planned process and a continuant participating in that process. The presence of the continuant at the end of the process is explicitly specified in the objective specification which the process realizes the concretization of.

Sub Property Of participates in op
Range planned process c

has role op

IRI http://purl.obolibrary.org/obo/RO_0000087
Description

a relation between an independent continuant (the bearer) and a role, in which the role specifically depends on the bearer for its existence

Sub Property Of has characteristic op
Domain independent continuant c
Range role c

is about op

IRI http://purl.obolibrary.org/obo/IAO_0000136
Description

A (currently) primitive relation that relates an information artifact to an entity.

Sub Property Of topObjectProperty op
Super Property Of denotes op
Domain information content entity c

periodic box type op

IRI http://purl.obolibrary.org/obo/MOLSIM_000297
Description

Describes the geometric shape of the simulation cell used to apply periodic boundary conditions, which mimic an infinite system by ensuring particles leaving one side re-enter from the opposite. Common shapes include cubic, triclinic (general parallelepiped), or rhombic dodecahedron, influencing computational efficiency and isotropy. This property links a simulation setup to its specific box geometry. (UNVERIFIED)

Sub Property Of topObjectProperty op
Domain molecular simulation system c
Range box type c

has simulation environment op

IRI http://purl.obolibrary.org/obo/MOLSIM_001033
Description

Describes the overall physical context or medium represented in the simulation or calculation (e.g., 'aqueous solution', 'lipid bilayer', 'vacuum', 'crystal lattice'). This context influences the choice of simulation parameters (like boundary conditions, dielectrics) and the interpretation of results. Note: This might be better modeled as an Object Property linking to predefined environment instances/classes. (UNVERIFIED)

Sub Property Of topObjectProperty op
Domain molecular simulation system c
Range interaction energy model c

quality of op

IRI http://purl.obolibrary.org/obo/RO_0000080
Description

a relation between a quality and an independent continuant (the bearer), in which the quality specifically depends on the bearer for its existence

Sub Property Of characteristic of op

protein structure source op

IRI http://purl.obolibrary.org/obo/MOLSIM_000508
Description

The source for the used protein structures (e.g. PDB). It indicates the origin or method by which a specific protein's 3D structural coordinates, used as input for a simulation or analysis, were obtained. This could be an entry in an experimental database like the Protein Data Bank (PDB), a result from a computational prediction method (e.g., homology modeling, ab initio prediction), or another defined source. This property is crucial for tracing the provenance and assessing the initial quality of structural data. (UNVERIFIED)

Sub Property Of topObjectProperty op
Domain molecular structure c
Range data source c

realizes op

IRI http://purl.obolibrary.org/obo/BFO_0000055
Sub Property Of topObjectProperty op
Domain process c
Range realizable entity c

realized in op

IRI http://purl.obolibrary.org/obo/BFO_0000054
Domain realizable entity c
Range process c

has input op

IRI http://purl.obolibrary.org/obo/RO_0002233
Description
  • obo:RO_0002233
  • p has input c iff: p is a process, c is a material entity, c is a participant in p, c is present at the start of p, and the state of c is modified during p.

Sub Property Of topObjectProperty op

has quality op

IRI http://purl.obolibrary.org/obo/RO_0000086
Description

a relation between an independent continuant (the bearer) and a quality, in which the quality specifically depends on the bearer for its existence

Sub Property Of
Range quality c

denotes op

IRI http://purl.obolibrary.org/obo/IAO_0000219
Description

A primitive, instance-level, relation obtaining between an information content entity and some portion of reality. Denotation is what happens when someone creates an information content entity E in order to specifically refer to something. The only relation between E and the thing is that E can be used to 'pick out' the thing. This relation connects those two together. Freedictionary.com sense 3: To signify directly; refer to specifically

Sub Property Of is about op
Domain information content entity c
Range entity c

has function op

IRI http://purl.obolibrary.org/obo/RO_0000085
Description

a relation between an independent continuant (the bearer) and a function, in which the function specifically depends on the bearer for its existence

Sub Property Of has characteristic op
Domain independent continuant c
Range function c

concretizes op

IRI http://purl.obolibrary.org/obo/RO_0000059
Description

A relationship between a specifically dependent continuant and a generically dependent continuant, in which the generically dependent continuant depends on some independent continuant in virtue of the fact that the specifically dependent continuant also depends on that same independent continuant. Multiple specifically dependent continuants can concretize the same generically dependent continuant.

Domain specifically dependent continuant c
Range generically dependent continuant c

has part op

IRI http://purl.obolibrary.org/obo/BFO_0000051
Description

a core relation that holds between a whole and its part

Sub Property Of topObjectProperty op
Super Property Of has measurement unit label op

has reaction coordinate op

IRI http://purl.obolibrary.org/obo/MOLSIM_001036
Description

Defines the specific geometric variable or collective variable along which the system is steered or biased in an SMD or umbrella sampling simulation. Examples include distance between two groups, angle, dihedral angle, or a more complex function of atomic coordinates. Note: This might be better modeled with an Object Property linking to a definition of the coordinate. (UNVERIFIED)

Sub Property Of topObjectProperty op
Domain enhanced sampling c
Range reaction coordinate c

is concretized as op

IRI http://purl.obolibrary.org/obo/RO_0000058
Description
  • A relationship between a generically dependent continuant and a specifically dependent continuant or process, in which the generically dependent continuant depends on some independent continuant or process in virtue of the fact that the specifically dependent continuant or process also depends on that same independent continuant. A generically dependent continuant may be concretized as multiple specifically dependent continuants or processes.

  • A relationship between a generically dependent continuant and a specifically dependent continuant, in which the generically dependent continuant depends on some independent continuant in virtue of the fact that the specifically dependent continuant also depends on that same independent continuant. A generically dependent continuant may be concretized as multiple specifically dependent continuants.

Domain generically dependent continuant c
Range specifically dependent continuant c

disposition of op

IRI http://purl.obolibrary.org/obo/RO_0000092
Sub Property Of characteristic of op

has characteristic op

IRI http://purl.obolibrary.org/obo/RO_0000053
Description

Inverse of characteristic_of

Super Property Of
Range specifically dependent continuant c

characteristic of op

IRI http://purl.obolibrary.org/obo/RO_0000052
Description

a relation between a specifically dependent continuant (the characteristic) and any other entity (the bearer), in which the characteristic depends on the bearer for its existence.

Super Property Of

denoted by op

IRI http://purl.obolibrary.org/obo/IAO_0000235
Description

inverse of the relation 'denotes'

Domain entity c
Range information content entity c

has disposition op

IRI http://purl.obolibrary.org/obo/RO_0000091
Description

a relation between an independent continuant (the bearer) and a disposition, in which the disposition specifically depends on the bearer for its existence

Sub Property Of has characteristic op
Domain independent continuant c
Range disposition c

has_specified_output op

IRI http://purl.obolibrary.org/obo/OBI_0000299
Description

The inverse property of is_specified_output_of

Sub Property Of has participant op
Domain planned process c

part of op

IRI http://purl.obolibrary.org/obo/BFO_0000050
Description

a core relation that holds between a part and its whole

Sub Property Of topObjectProperty op

alignment tool op

IRI http://purl.obolibrary.org/obo/MOLSIM_000507
Description

In molecular dynamics, alignment tool provides spatial re-orientation of membrane proteins with respect to the hydrocarbon core of the lipid bilayer. It connects a structural alignment procedure or analysis step to the specific software program or tool used to perform the alignment of molecular structures. Structural alignment is used to superimpose molecular structures (e.g., proteins, nucleic acids) to compare their conformations or identify conserved regions. This property identifies the computational tool responsible for generating the alignment. (UNVERIFIED)

Sub Property Of topObjectProperty op
Domain analysis c
Range software c

has measurement unit label op

IRI http://purl.obolibrary.org/obo/IAO_0000039
Sub Property Of
Range measurement unit label c

molecular dynamics suite utility op

IRI http://purl.obolibrary.org/obo/MOLSIM_000504
Description

Links a specific computational process or analysis step to the particular utility program from a molecular dynamics software suite that was used to perform it. For instance, an analysis of simulation trajectories might use a specific trajectory processing utility, or system preparation might involve a specific solvation tool. This property helps specify the exact software tools employed within a broader simulation workflow, where the utility is a component of a larger software package. (UNVERIFIED)

Sub Property Of topObjectProperty op
Domain molecular dynamics process c
Range software c

function of op

IRI http://purl.obolibrary.org/obo/RO_0000079
Description

a relation between a function and an independent continuant (the bearer), in which the function specifically depends on the bearer for its existence

Sub Property Of characteristic of op
Domain function c

role of op

IRI http://purl.obolibrary.org/obo/RO_0000081
Description

a relation between a role and an independent continuant (the bearer), in which the role specifically depends on the bearer for its existence

Sub Property Of characteristic of op

participates in op

IRI http://purl.obolibrary.org/obo/RO_0000056
Description

a relation between a continuant and a process, in which the continuant is somehow involved in the process

Sub Property Of topObjectProperty op
Super Property Of is_specified_output_of op
Domain continuant c
Range occurrent c

precedes op

IRI http://purl.obolibrary.org/obo/BFO_0000063
Sub Property Of topObjectProperty op

template complex structure op

IRI http://purl.obolibrary.org/obo/MOLSIM_001034
Description

Refers to the specific initial 3D structural model of the molecular complex (e.g., protein-ligand) used as the starting point or reference for the simulation or free energy calculation. This structure is often derived from experimental data (e.g., PDB file) or previous computational modeling (e.g., docking pose). Note: This might be better modeled as an Object Property linking to a structure data entity or file identifier. (UNVERIFIED)

Sub Property Of topObjectProperty op
Domain molecular simulation system c
Range molecular structure c

validated ligand selection criteria op

IRI http://purl.obolibrary.org/obo/MOLSIM_001035
Description

Describes the specific rules, checks, or conditions that were applied to confirm that the chosen ligands and the designed alchemical transformations between them are suitable and physically reasonable for a relative binding free energy calculation study. This might involve checks on structural similarity, charge/protonation state consistency, or avoiding transformations that break/form covalent bonds inappropriately. (UNVERIFIED)

Sub Property Of topObjectProperty op
Domain plan specification c
Range ligand pairs selection criteria c

has output op

IRI http://purl.obolibrary.org/obo/RO_0002234
Description

p has output c iff c is a participant in p, c is present at the end of p, and c is not present in the same state at the beginning of p.

Sub Property Of topObjectProperty op

Datatype Properties

force field parameterization descriptors dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001143
Description

A category for properties that quantify the diversity of the force field parameters applied to the molecular system. This includes the number of unique types of bonds, angles, and atoms. These descriptors reflect the complexity of the energy function used to model the system's physics. (UNVERIFIED)

Sub Property Of topDataProperty dp
Super Property Of
Domain molecular topology c
Range xsd:integer

number of total angles with hydrogens dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001134
Description
  • prmtop NTHETH

  • Specifies the total count of bond angles in the system where at least one of the three atoms forming the angle is a hydrogen. These angles are often constrained to allow for a longer simulation timestep. (UNVERIFIED)

Sub Property Of topological counts dp
Range xsd:integer

topological counts dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001131
Description

A category for properties that quantify the covalent structure and connectivity of the molecular system. This includes the number of bonds, angles, and dihedral angles. These descriptors define the system's topology, which is the graph of how atoms are connected. (UNVERIFIED)

Sub Property Of topDataProperty dp
Super Property Of
Domain molecular topology c
Range xsd:integer

number of ligand conformers dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001128
Description

Specifies the total count of distinct spatial arrangements, or conformers, of a ligand being considered. This is often used in docking or conformational analysis studies. This is a higher-level descriptor not directly present in the prmtop pointers. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

is transmembrane system dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001159
Description

A boolean descriptor indicating whether the molecular system includes a lipid membrane. This is a key descriptor for identifying simulations of membrane proteins or lipid bilayers. This is a higher-level descriptor not directly present in the prmtop pointers. (UNVERIFIED)

Sub Property Of flags and state descriptors dp
Range xsd:boolean

number of total atoms in the largest residue dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001129
Description
  • prmtop NMXRS

  • Specifies the number of atoms that make up the single largest residue in the system. This value corresponds to the NMXRS pointer in an Amber topology file. It can be useful for identifying complex cofactors or non-standard residues. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

number of total excluded atom pairs dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001138
Description
  • prmtop NNB

  • Specifies the total count of atom pairs whose direct non-bonded interactions are intentionally excluded from the force field calculation. This value corresponds to the NNB pointer in an Amber topology file. This is a fundamental aspect of how classical force fields are constructed. (UNVERIFIED)

Sub Property Of topological counts dp
Range xsd:integer

constraint descriptors dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001139
Description

A category for properties that describe which degrees of freedom in the system are fixed or constrained during a simulation. This includes counts of bonds or angles that are held rigid by algorithms like SHAKE. These descriptors specify how the system's natural dynamics have been modified. (UNVERIFIED)

Sub Property Of topDataProperty dp
Super Property Of
Domain molecular topology c
Range xsd:integer

number of total angles with constraints dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001141
Description
  • prmtop NTHETA - MTHETA

  • Specifies the total count of bond angles whose values are actively kept fixed by a constraint algorithm. This value can be calculated from the difference between the NTHETA and MTHETA pointers in an Amber topology file. (UNVERIFIED)

Sub Property Of constraint descriptors dp
Range xsd:integer

number of total dihedrals with constraints dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001142
Description
  • prmtop NPHIA - MPHIA

  • Specifies the total count of dihedral angles whose values are actively kept fixed by a constraint algorithm. This value can be calculated from the difference between the NPHIA and MPHIA pointers in an Amber topology file. (UNVERIFIED)

Sub Property Of constraint descriptors dp
Range xsd:integer

number of total perturbed bonds dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001150
Description
  • prmtop NBPER

  • In an alchemical free energy calculation, this specifies the total count of bonds being chemically transformed. This value corresponds to the NBPER pointer in an Amber topology file. It defines the scope of the alchemical perturbation on the system's bonded terms. (UNVERIFIED)

Sub Property Of alchemical system descriptors dp
Range xsd:integer

number of total perturbed angles dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001151
Description
  • prmtop NGPER

  • In an alchemical free energy calculation, this specifies the total count of angles being chemically transformed. This value corresponds to the NGPER pointer in an Amber topology file. It helps to characterize the complexity of the alchemical transformation. (UNVERIFIED)

Sub Property Of alchemical system descriptors dp
Range xsd:integer

number of total unique bond types dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001144
Description
  • prmtop NUMBND

  • Specifies the number of unique bond parameter types used in the system's topology. This value corresponds to the NUMBND pointer in an Amber topology file. It reflects the chemical diversity of the covalent bonds in the system. (UNVERIFIED)

Sub Property Of force field parameterization descriptors dp
Range xsd:integer

number of total residues dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001124
Description
  • prmtop NRES

  • Specifies the total count of all residues, which are the building blocks of polymers like proteins or nucleic acids. This value corresponds to the NRES pointer in an Amber topology file. It provides a measure of the size of the macromolecules in the system. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

number of total distinct hydrogen bond pair types dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001148
Description
  • prmtop NPHB

  • Specifies the number of unique categories of 10-12 hydrogen bonds defined in the force field parameters. This value corresponds to the NPHB pointer in an Amber topology file. It quantifies the diversity of special hydrogen bonding interactions. (UNVERIFIED)

Sub Property Of force field parameterization descriptors dp
Range xsd:integer

has ligand dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001157
Description

A boolean descriptor indicating whether one or more ligand molecules are present in the molecular system. This helps to quickly identify simulations that are focused on ligand binding or interaction. This is a higher-level descriptor not directly present in the prmtop pointers. (UNVERIFIED)

Sub Property Of flags and state descriptors dp
Range xsd:boolean

number of total unique angle types dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001145
Description
  • prmtop NUMANG

  • Specifies the number of unique angle parameter types used in the system's topology. This value corresponds to the NUMANG pointer in an Amber topology file. It reflects the diversity of the local geometries defined in the force field. (UNVERIFIED)

Sub Property Of force field parameterization descriptors dp
Range xsd:integer

number of receptor residues dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001125
Description
  • prmtop IPTRES

  • Specifies the final residue that is considered part of the solute, effectively defining the size of the receptor. This value corresponds to the IPTRES pointer in an Amber topology file. It helps to distinguish the receptor from other molecules like ligands or solvent. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

number of total bonds with all atoms in the perturbed group dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001153
Description
  • prmtop MBPER

  • In an alchemical free energy calculation, this specifies the count of bonds where both atoms belong to the group being chemically transformed. This value corresponds to the MBPER pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of alchemical system descriptors dp
Range xsd:integer

number of total dihedral angles with hydrogens dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001136
Description
  • prmtop NPHIH

  • Specifies the total count of dihedral angles in the system where at least one of the four defining atoms is a hydrogen. This value corresponds to the NPHIH pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of topological counts dp
Range xsd:integer

number of extra points dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001130
Description
  • prmtop NUMEXTRA

  • Specifies the count of massless virtual sites used in the molecular model. These "extra points" are used in some force fields to improve the representation of charge distribution. This value corresponds to the NUMEXTRA pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

number of total angles without hydrogens dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001135
Description
  • prmtop MTHETA

  • Specifies the total count of bond angles in the system formed exclusively by heavy (non-hydrogen) atoms. This value corresponds to the MTHETA pointer in an Amber topology file. These angles define the geometry of the molecular skeleton. (UNVERIFIED)

Sub Property Of topological counts dp
Range xsd:integer

has multiple starting conformations dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001160
Description

A boolean descriptor indicating whether the input structure for the simulation contained multiple distinct conformations for some parts of the molecule. This is relevant for studies starting from an ensemble of structures. This is a higher-level descriptor not directly present in the prmtop pointers. (UNVERIFIED)

Sub Property Of flags and state descriptors dp
Range xsd:boolean

number of total distinct atoms dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001123
Description
  • prmtop NTYPES

  • Specifies the total number of unique atom types defined in the force field for this system. An atom type defines a specific set of interaction parameters, such as 'sp2 carbon' or 'carbonyl oxygen'. This value corresponds to the NTYPES pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

number of total unique dihedral types dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001146
Description
  • prmtop NPTRA

  • Specifies the number of unique dihedral parameter types used in the system's topology. This value corresponds to the NPTRA pointer in an Amber topology file. It reflects the diversity of the torsional potentials required to describe the system's flexibility. (UNVERIFIED)

Sub Property Of force field parameterization descriptors dp
Range xsd:integer

lipid composition dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001161
Description

A textual description of the types and relative amounts of different lipid molecules used to construct a membrane. This provides a human-readable summary of the membrane's chemical makeup. This is a higher-level descriptor not directly present in the prmtop pointers. (UNVERIFIED)

Sub Property Of flags and state descriptors dp
Range xsd:string

number of total bonds with constraints dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001140
Description
  • prmtop NBONA - MBONA

  • Specifies the total count of covalent bonds whose lengths are actively kept fixed by a constraint algorithm. This value can be calculated from the difference between the NBONA and MBONA pointers in an Amber topology file. It quantifies the number of degrees of freedom removed by bond constraints. (UNVERIFIED)

Sub Property Of constraint descriptors dp
Range xsd:integer

lipid ratio dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001162
Description

A numerical or string representation of the relative amounts of different lipid types in a membrane. For example, a value of "3:1" could describe a mixture of two different lipids. This provides a quantitative description of the membrane composition. (UNVERIFIED)

Sub Property Of flags and state descriptors dp
Range xsd:string

flags and state descriptors dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001156
Description

A category for properties that describe the overall state or key qualitative features of the molecular system. This includes boolean flags or textual descriptions of the system's composition and setup conditions. These descriptors provide high-level context about the nature of the simulation. (UNVERIFIED)

Sub Property Of topDataProperty dp
Super Property Of
Domain molecular simulation system c

has added salt dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001158
Description

A boolean descriptor indicating whether salt ions (beyond simple counterions for neutralization) were added to the system. This specifies if the simulation was intended to model a specific ionic strength or buffer condition. This is a higher-level descriptor not directly present in the prmtop pointers. (UNVERIFIED)

Sub Property Of flags and state descriptors dp
Range xsd:boolean

number of total bonds with hydrogens dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001132
Description
  • prmtop NBONH

  • Specifies the total count of bond angles in the system where at least one of the three atoms forming the angle is a hydrogen. This value corresponds to the NTHETH pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of topological counts dp
Range xsd:integer

number of total atom types in the parameter file dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001147
Description
  • prmtop NATYP

  • Specifies the total number of distinct atom types defined in the force field parameter files being used. This value corresponds to the NATYP pointer in an Amber topology file. It describes the overall complexity of the force field itself. (UNVERIFIED)

Sub Property Of force field parameterization descriptors dp
Range xsd:integer

number of total dihedral angles without hydrogens dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001137
Description
  • prmtop MPHIA

  • Specifies the total count of dihedral angles in the system defined exclusively by four heavy (non-hydrogen) atoms. This value corresponds to the MPHIA pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of topological counts dp
Range xsd:integer

alchemical system descriptors dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001149
Description

A category for properties that describe the scope of a chemical transformation in a free energy calculation. This includes counts of the atoms, bonds, and angles that are being "perturbed" or changed during the simulation. These descriptors define the specifics of the alchemical modification being performed. (UNVERIFIED)

Sub Property Of topDataProperty dp
Super Property Of
Domain molecular simulation system c
Range xsd:integer

number of total bonds without hydrogens dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001133
Description
  • prmtop MBONA

  • Specifies the total count of covalent bonds in the system that connect two heavy (non-hydrogen) atoms. This value corresponds to the MBONA pointer in an Amber topology file. These bonds form the core skeleton of the molecules. (UNVERIFIED)

Sub Property Of topological counts dp
Range xsd:integer

number of ligands dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001126
Description

Specifies the total number of ligand molecules present in the simulation system. A ligand is typically a small molecule being studied for its interaction with a larger receptor. This is a higher-level descriptor not directly present in the prmtop pointers. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

number of total perturbed dihedrals dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001152
Description
  • prmtop NDPER

  • In an alchemical free energy calculation, this specifies the total count of dihedrals being chemically transformed. This value corresponds to the NDPER pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of alchemical system descriptors dp
Range xsd:integer

number of charged ligands dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001127
Description

Specifies the count of ligand molecules within the system that carry a net non-zero formal electrical charge. This is relevant for system charge neutralization and electrostatic calculations. This is a higher-level descriptor not directly present in the prmtop pointers. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

has measurement value dp

IRI http://purl.obolibrary.org/obo/IAO_0000004
Domain scalar measurement datum c
Range xsd:double

number of total dihedrals with all atoms in perturbed groups dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001155
Description
  • prmtop MDPER

  • In an alchemical free energy calculation, this specifies the count of dihedrals where all four atoms belong to the group being chemically transformed. This value corresponds to the MDPER pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of alchemical system descriptors dp
Range xsd:integer

number of total angles with all atoms in perturbed groups dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001154
Description
  • prmtop MGPER

  • In an alchemical free energy calculation, this specifies the count of angles where all three atoms belong to the group being chemically transformed. This value corresponds to the MGPER pointer in an Amber topology file. (UNVERIFIED)

Sub Property Of alchemical system descriptors dp
Range xsd:integer

number of total atoms dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001122
Description
  • prmtop NATOM

  • Specifies the total count of all atoms in the entire simulation system. This value corresponds to the NATOM pointer in an Amber topology file. The total atom count is a primary determinant of the computational cost of the simulation. (UNVERIFIED)

Sub Property Of composition counts dp
Range xsd:integer

composition counts dp

IRI http://purl.obolibrary.org/obo/MOLSIM_001121
Description

A category for properties that quantify the chemical composition of the molecular system. This includes the total number of atoms, residues, and specific molecule types. These counts define the stoichiometry and overall size of the system being simulated. (UNVERIFIED)

Sub Property Of topDataProperty dp
Super Property Of
Domain molecular simulation system c
Range xsd:integer

Annotation Properties

inchi_key_string ap

IRI https://w3id.org/chemrof/inchi_key_string

smiles_string ap

IRI https://w3id.org/chemrof/smiles_string

has exact synonymhas_exact_synonym ap

IRI http://www.geneontology.org/formats/oboInOwl#hasExactSynonym
Description

An alternative label for a class or property which has the exact same meaning than the preferred name/primary label.

id ap

IRI http://www.geneontology.org/formats/oboInOwl#id

definition source ap

IRI http://purl.obolibrary.org/obo/IAO_0000119
Description

Formal citation, e.g. identifier in external database to indicate / attribute source(s) for the definition. Free text indicate / attribute source(s) for the definition. EXAMPLE: Author Name, URI, MeSH Term C04, PUBMED ID, Wiki uri on 31.01.2007

inchi_string ap

IRI https://w3id.org/chemrof/inchi_string

contributor ap

IRI http://purl.org/dc/terms/contributor

source ap

IRI http://www.geneontology.org/formats/oboInOwl#source

mass ap

IRI https://w3id.org/chemrof/mass

definitiondefinition ap

IRI http://purl.obolibrary.org/obo/IAO_0000115
Description

The official definition, explaining the meaning of a class or property. Shall be Aristotelian, formalized and normalized. Can be augmented with colloquial definitions.

title ap

IRI http://purl.org/dc/terms/title

default language ap

IRI http://protege.stanford.edu/plugins/owl/protege#defaultLanguage

in_subset ap

IRI http://www.geneontology.org/formats/oboInOwl#inSubset

charge ap

IRI https://w3id.org/chemrof/charge

label ap

IRI http://www.w3.org/2000/01/rdf-schema#label

homepage ap

IRI http://xmlns.com/foaf/0.1/homepage

has_obo_namespace ap

IRI http://www.geneontology.org/formats/oboInOwl#hasOBONamespace

Bibliographic Resource ap

IRI http://purl.org/dc/terms/BibliographicResource

source ap

IRI http://purl.org/dc/elements/1.1/source

creator ap

IRI http://purl.org/dc/terms/creator

monoisotopic_mass ap

IRI https://w3id.org/chemrof/monoisotopic_mass

has_alternative_id ap

IRI http://www.geneontology.org/formats/oboInOwl#hasAlternativeId

source ap

IRI http://purl.org/dc/terms/source

default-namespace ap

IRI http://www.geneontology.org/formats/oboInOwl#default-namespace

has synonym type ap

IRI http://www.geneontology.org/formats/oboInOwl#hasSynonymType

description ap

IRI http://purl.org/dc/terms/description

database_cross_reference ap

IRI http://www.geneontology.org/formats/oboInOwl#hasDbXref

subject ap

IRI http://purl.org/dc/terms/subject

license ap

IRI http://purl.org/dc/terms/license

generalized_empirical_formula ap

IRI https://w3id.org/chemrof/generalized_empirical_formula

Functional Properties

characteristic of fp

IRI http://purl.obolibrary.org/obo/RO_0000052
Description

a relation between a specifically dependent continuant (the characteristic) and any other entity (the bearer), in which the characteristic depends on the bearer for its existence.

Super Property Of

has measurement unit label fp

IRI http://purl.obolibrary.org/obo/IAO_0000039
Sub Property Of
Range measurement unit label c

has measurement value fp

IRI http://purl.obolibrary.org/obo/IAO_0000004
Domain scalar measurement datum c
Range xsd:double

Namespaces

dc
http://purl.org/dc/elements/1.1/
dcterms
http://purl.org/dc/terms/
foaf
http://xmlns.com/foaf/0.1/
ns1
http://purl.obolibrary.org/obo/molsim/
obo
http://purl.obolibrary.org/obo/
oboInOwl
http://www.geneontology.org/formats/oboInOwl#
owl
http://www.w3.org/2002/07/owl#
protege
http://protege.stanford.edu/plugins/owl/protege#
prov
http://www.w3.org/ns/prov#
rdf
http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs
http://www.w3.org/2000/01/rdf-schema#
skos
http://www.w3.org/2004/02/skos/core#
swrl
http://www.w3.org/2003/11/swrl#
xsd
http://www.w3.org/2001/XMLSchema#

Legend

c Classes
op Object Properties
dp Datatype Properties
ap Annotation Properties
fp Functional Properties

made by p y LODE 3.0.5 with the OntPub profile

Table of Contents