A comprehensive macromolecular library
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Updated
Jul 29, 2026 - TypeScript
A comprehensive macromolecular library
Codes for our paper "Programming Biomolecular Interactions with All-Atom Generative Model"
Comprehensive library for fast, GPU accelerated molecular gridding for deep learning workflows
Predicting protein-ligand binding sites using deep convolutional neural network
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
Predict protein-ligand and catalytic pockets and perform molecular docking of a specific ligand to each predicted pocket.
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.
pythonic interface to virtual screening software
MD pharmacophores and virtual screening
📐 Symmetry-corrected RMSD in Python
A Euclidean diffusion model for structure-based drug design.
Identification of Protein-Ligand Binding Sites using dipolar EPR data
Library for computing dynamic non-covalent contact networks in proteins throughout MD Simulation
Interface for AutoDock, molecule parameterization
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
This package contains deep learning models and related scripts for RoseTTAFold
An open library to work with pharmacophores.
Open source code for AlphaFold 2.
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