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kehan liu's Projects

g_mmpbsa icon g_mmpbsa

MM-PBSA method for GROMACS. For full description, please visit homepage:

gmx_mmpbsa icon gmx_mmpbsa

gmx_MMPBSA is a new tool based on AMBER's MMPBSA.py aiming to perform end-state free energy calculations with GROMACS files.

gnina icon gnina

A deep learning framework for molecular docking

gpdock icon gpdock

an effective tool for the docking of metalloproteins

graphinity icon graphinity

Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity

graphormer icon graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

graphsol icon graphsol

Code of our JC paper: "Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map"

haddock3 icon haddock3

The official repo of the new modular BioExcel2 version of HADDOCK

hebo icon hebo

Bayesian optimisation library developped by Huawei Noah's Ark Library

helix_gan icon helix_gan

Prepared source code for paper titled "HelixGAN a deep learning methodology for conditional de novo design of α-helix structures"

hssp icon hssp

Create DSSP and HSSP files

icodon icon icodon

iCodon customizes gene expression based on the codon composition

igfold icon igfold

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

iglm icon iglm

Generative Language Modeling for Antibody Design

igseq icon igseq

Code for IgSeq data analysis

igvae icon igvae

A variational autoencoder that directly generates the 3D coordinates of immunoglobulin protein backbones.

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