Differentiable, Hardware Accelerated, Molecular Dynamics
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Updated
Jul 26, 2026 - Jupyter Notebook
Differentiable, Hardware Accelerated, Molecular Dynamics
Codes for our paper "Programming Biomolecular Interactions with All-Atom Generative Model"
Some useful RDKit functions
End-To-End Molecular Dynamics (MD) Engine using PyTorch
Molecular Processing Made Easy.
Reaction fingerprints, atlases and classification. Code complementing our Nature Machine Intelligence publication on "Mapping the space of chemical reactions using attention-based neural networks" (http://rdcu.be/cenmd).
A Pharmacophore MultiToolkit designed to simplify and streamline the detection, generation, analysis, comparison, and application of pharmacophore models in drug-design strategies.
Source code for molecular graphics program UCSF ChimeraX
Knowledge-Guided Diffusion Model for 3D Ligand-Pharmacophore Mapping
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
Molsystem provides a general class for handling molecular and periodic systems
Quantum chemistry program executor and IO standardizer (QCSchema).
An open library to work with pharmacophores.
Training and inference code for ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design [ICLR 2025 oral]
Consensus pharmacophore for Drug Design
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
Interface for AutoDock, molecule parameterization
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