End-To-End Molecular Dynamics (MD) Engine using PyTorch
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Updated
Apr 21, 2026 - Python
End-To-End Molecular Dynamics (MD) Engine using PyTorch
The Open Free Energy toolkit
Force fields produced by the Open Force Field Initiative
Detect and characterize binding pockets from molecular 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
Source code for molecular graphics program UCSF ChimeraX
Solvation Structure and Thermodynamic Mapping
Molsystem provides a general class for handling molecular and periodic systems
Reduce - tool for adding and correcting hydrogens in PDB files
OpenMM is a toolkit for molecular simulation using high performance GPU code.
A pocket volume analyzer for use in protein modeling.
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
fpocket is a very fast open source protein pocket detection algorithm based on Voronoi tessellation. The platform is suited for the scientific community willing to develop new scoring functions and extract pocket descriptors on a large scale level. fpocket is distributed as free open source software.
An automated framework for generating optimized partial charges for molecules
Identification of Protein-Ligand Binding Sites using dipolar EPR data
Powerful, efficient particle trajectory analysis in scientific Python.
MD pharmacophores and virtual screening
Adding hydrogens to molecular models
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