🧬 gget enables efficient querying of genomic reference databases

Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch

An implementation of the DeepMind's AlphaFold based on PyTorch for research

An open-source platform for developing protein models beyond AlphaFold.

Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures

Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval

Install alphafold on the local machine, get out of docker.

PyMOL extension to color AlphaFold structures by confidence (pLDDT).

Structural Bioinformatics is awesome. Throw your textbook in the garbage, light the garbage can on fire, and blend the ashes into your cold brew almond milk latte and read this.

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

Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.

Singularity recipe for AlphaFold

RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding

Use AlphaFold by Deep Mind in Batch Mode + Multiprocessing

AlphaFind: Discover structure similarity across the entire known proteome

A simplified drug discovery pipeline -- generating SMILE molecular with AlphaSMILES, predicting protein structure with AlphaFold, and checking the druggability with fpocket/Amber.

A toolkit developed to predict and analyze PROTAC-mediated protein degradation complexes using AlphaFold3.

This repository contains the AlphaCutter.py for the removal of non-globular regions from predicted protein structures.

A curated list of awesome protein design research, software and resources.

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