Making Protein folding accessible to all!

Protein Secondary Structure predictor using Convolutional Neural Networks

Standardized data set for machine learning of protein structure

Listing of papers about machine learning for proteins.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

A collection of useful tutorials for Protein Science

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Tools for computational pathology

Optimizing AlphaFold Training and Inference on GPU Clusters

[SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".

An open-source toolkit for large-scale genomic analysis

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

Open source code for AlphaFold 2.

Official Repository for the Uni-Mol Series Methods