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"
📐 Symmetry-corrected RMSD in Python
A Euclidean diffusion model for structure-based drug design.
End-To-End Molecular Dynamics (MD) Engine using PyTorch
Some useful RDKit functions
Parameter/topology editor and molecular simulator
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Jupyter widget to interactively view molecular structures and trajectories
Comprehensive library for fast, GPU accelerated molecular gridding for deep learning workflows
P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.
3D ligand-based pharmacophore modeling
bedtools - the swiss army knife for genome arithmetic
Knowledge-Guided Diffusion Model for 3D Ligand-Pharmacophore Mapping
Application to assign secondary structure to proteins
Molsystem provides a general class for handling molecular and periodic systems
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
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