interface-cli

Cryptic binding pocket discovery from conformational ensembles. Open-source, reproducible, size-robust benchmarks against fpocket, PocketMiner and CryptoBench.

AutoDock Vina

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)

Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python

Parameter/topology editor and molecular simulator

Biomolecular simulation trajectory/data analysis.

The second version of the Kraken taxonomic sequence classification system

IF-SitePred is a method for predicting ligand-binding sites on protein structures. It first generates an embedding for each residue of the protein using the ESM-IF1 (inverse folding) model, then performs point cloud clustering to identify binding site centers.

Prediction of binding residues for metal ions, nucleic acids, and small molecules.

Adds or removes hydrogen atoms to achieve the appropriate molecular protonation state for a user-specified pH range

Python3 translation of AutoDockTools

Raku package that interfaces Woxi (limited functionality of Wolfram Language in Rust).

This package contains deep learning models and related scripts for RoseTTAFold

Quantum chemistry program executor and IO standardizer (QCSchema).

Training and inference code for ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design [ICLR 2025 oral]

Deep Site and Docking Pose (DSDP) is a blind docking strategy accelerated by GPUs, developed by Gao Group. For the site prediction part, several modifications are introduced to PUResNet program. The pose sampling part is similar as AutoDock Vina combined with a number of modifications.

A deep learning framework for molecular docking

Calculation of interatomic interactions in molecular structures