🧬 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
OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.
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
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.
Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.
Exploring Evolution-aware & free protein language models as protein function predictors
Singularity recipe for AlphaFold
RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding
AlphaFind: Discover structure similarity across the entire known proteome
Use AlphaFold by Deep Mind in Batch Mode + Multiprocessing
A toolkit developed to predict and analyze PROTAC-mediated ternary complexes using AlphaFold3 and Boltz-1.
A simplified drug discovery pipeline -- generating SMILE molecular with AlphaSMILES, predicting protein structure with AlphaFold, and checking the druggability with fpocket/Amber.
A comprehensive Model Context Protocol (MCP) server that provides access to the AlphaFold Protein Structure Database through a rich set of tools and resources for protein structure prediction analysis.
This repository contains the AlphaCutter.py for the removal of non-globular regions from predicted protein structures.
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