Codes for our paper "Programming Biomolecular Interactions with All-Atom Generative Model"
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Updated
Jun 6, 2026 - Python
Codes for our paper "Programming Biomolecular Interactions with All-Atom Generative Model"
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
pythonic interface to virtual screening software
Predict protein-ligand and catalytic pockets and perform molecular docking of a specific ligand to each predicted pocket.
Predicting protein-ligand binding sites using deep convolutional neural network
Open source code for AlphaFold 2.
Protein Ligand INteraction Dataset and Evaluation Resource
Interface for AutoDock, molecule parameterization
📐 Symmetry-corrected RMSD in Python
A Euclidean diffusion model for structure-based drug design.
This package contains deep learning models and related scripts for RoseTTAFold
An open library to work with pharmacophores.
Library for computing dynamic non-covalent contact networks in proteins throughout MD Simulation
Experiments with expanded ensembles to explore chemical space
A versatile workflow for the generation of receptor-based pharmacophore models for virtual screening
MD pharmacophores and virtual screening
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Python3 translation of AutoDockTools
Source code for molecular graphics program UCSF ChimeraX
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