Cryptic binding pocket discovery from conformational ensembles. Open-source, reproducible, size-robust benchmarks against fpocket, PocketMiner and CryptoBench.
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Updated
Jul 23, 2026 - Python
Cryptic binding pocket discovery from conformational ensembles. Open-source, reproducible, size-robust benchmarks against fpocket, PocketMiner and CryptoBench.
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
Adds or removes hydrogen atoms to achieve the appropriate molecular protonation state for a user-specified pH range
Python3 translation of AutoDockTools
Codes for our paper "Programming Biomolecular Interactions with All-Atom Generative Model"
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.
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
Message Passing Neural Networks for Molecule Property Prediction
Standalone charge assignment from Espaloma framework.
doujinshi-dl-gui is a graphical user interface for interacting with RicterZ's doujinshi-dl command-line tool. It provides a more user-friendly way to configure and run doujinshi-dl commands without needing to use the command line directly.
This package contains deep learning models and related scripts for RoseTTAFold
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