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
Nov 26, 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.
An open, extensible Python framework for GPU-accelerated alchemical free energy calculations.
Experiments with expanded ensembles to explore chemical space
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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