The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io
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Updated
Dec 19, 2024 - Python
The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Experiments with expanded ensembles to explore chemical space
An open, extensible Python framework for GPU-accelerated alchemical free energy calculations.
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
a python package for the interfacial analysis of molecular simulations
Python Suite for Advanced General Ensemble Simulations
A project (and object) for storing, manipulating, and converting molecular mechanics data.
A Python module for carrying out GCMC insertions and deletions of water molecules in OpenMM.
A physical property evaluation toolkit from the Open Forcefield Consortium.
Quickstart Python tutorials helping molecular dynamics practitioners get up to speed with OpenMM
A command line application to launch molecular dynamics simulations with OpenMM
Open Source, Mostly just clicking mouse to finish a simulation with Ambertools and OpenMM. It was designed to use locally but another notebook to finish the simulaiton on Colab was attached as well.
Database of hand-built OPLS-AA parameters and topologies for 464 molecules. Zip files contains parameter and topologies for OpenMM, Gromacs, NAMD, CHARMM, LAMMPS, TINKER, CNS/X-PLOR, Q, DESMOND, BOSS and MCPRO.
Using supervised machine learning to build collective variables for accelerated sampling
Simulation-Enabled Estimation of Kinetic Rates - Version 2
Unified Free Energy Dynamics (UFED) simulations with OpenMM
Exploring the conformational ensembles of protein-protein complexes with transformer-based generative neural networks
Set up relative free energy calculations using a common scaffold
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