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.
Force fields produced by the Open Force Field Initiative
End-To-End Molecular Dynamics (MD) Engine using PyTorch
Molsystem provides a general class for handling molecular and periodic systems
Differentiable, Hardware Accelerated, Molecular Dynamics
SchNetPack - Deep Neural Networks for Atomistic Systems
An automated framework for generating optimized partial charges for molecules
OpenMM is a toolkit for molecular simulation using high performance GPU code.
MD pharmacophores and virtual screening
Detect and characterize binding pockets from molecular simulations.
NequIP is a code for building E(3)-equivariant interatomic potentials
A pocket volume analyzer for use in protein modeling.
Public development project of the LAMMPS MD software package
🚂 Python API for Emma's Markov Model Algorithms 🚂
The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io
An open library for the analysis of molecular dynamics trajectories
MDAnalysis is a Python library to analyze molecular dynamics simulations.
Powerful, efficient particle trajectory analysis in scientific Python.
Library for computing dynamic non-covalent contact networks in proteins throughout MD Simulation
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