AI based protein modeling and design

Trainable PyTorch framework for developing protein, RNA and complex models.

MMseqs2 app to run on your workstation or servers

User friendly and accurate binder design pipeline

🧬 gget enables efficient querying of genomic reference databases

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Saprot: Protein Language Model with Structural Alphabet (AA+3Di)

AIRFold Protein Structure Prediction System

Protein 3D structure prediction pipeline

Python command-line software for whole-proteomes annotation based on structural homology.

Exploring Evolution-aware & free protein language models as protein function predictors

Bioinformatics Course - Protein Module Practice

C++ package that provides tools for correcting structural predictions of proteins (eg. from X-Ray Crystallography or AlphaFold) using X-ray small-angle scattering (SAXS) in solution

This is a collection of script for analysing Alphafold multimer results during highthroughput screening using Colabfold or similar packages.

Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

Predicting Antibody and ACE2 Affinity for SARS-CoV-2 BA.2.86 with In Silico Protein Modeling and Docking

Predicting changes in neutralizing antibody activity for SARS-CoV-2 XBB.1.5 using in silico protein modeling.

protein graph representation

Local Interaction Score (LIS) Calculation from AlphaFold-Multimer (Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer)

A tool to visualise the results of AlphaFold2 and inspect the quality of structural predictions