Cryptic binding pocket discovery from conformational ensembles. Open-source, reproducible, size-robust benchmarks against fpocket, PocketMiner and CryptoBench.
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Updated
Jul 23, 2026 - Python
Cryptic binding pocket discovery from conformational ensembles. Open-source, reproducible, size-robust benchmarks against fpocket, PocketMiner and CryptoBench.
End-To-End Molecular Dynamics (MD) Engine using PyTorch
SchNetPack - Deep Neural Networks for Atomistic Systems
NequIP is a code for building E(3)-equivariant interatomic potentials
Molsystem provides a general class for handling molecular and periodic systems
Force fields produced by the Open Force Field Initiative
MD pharmacophores and virtual screening
Detect and characterize binding pockets from molecular simulations.
An automated framework for generating optimized partial charges for molecules
Differentiable, Hardware Accelerated, Molecular Dynamics
A pocket volume analyzer for use in protein modeling.
OpenMM is a toolkit for molecular simulation using high performance GPU code.
MoleculeKit: Your favorite molecule manipulation kit
Standalone charge assignment from Espaloma framework.
An open library for the analysis of molecular dynamics trajectories
MDAnalysis is a Python library to analyze molecular dynamics simulations.
The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io
🚂 Python API for Emma's Markov Model Algorithms 🚂
Experiments with expanded ensembles to explore chemical space
OpenFF NAGL
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