An implementation of the DeepMind's AlphaFold based on PyTorch for research
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Updated
Jan 23, 2021 - Python
An implementation of the DeepMind's AlphaFold based on PyTorch for research
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
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
PyMOL extension to color AlphaFold structures by confidence (pLDDT).
Singularity recipe for AlphaFold
Exploring Evolution-aware & free protein language models as protein function predictors
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.
A tool to visualise the results of AlphaFold2 and inspect the quality of structural predictions
Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.
RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding
Examines ligand interactions with predicted protein structures
This repository contains the AlphaCutter.py for the removal of non-globular regions from predicted protein structures.
AlphaFind: Discover structure similarity across the entire known proteome
Screen interactions with AlphaFold-Multimer
Use AlphaFold by Deep Mind in Batch Mode + Multiprocessing
A simplified drug discovery pipeline -- generating SMILE molecular with AlphaSMILES, predicting protein structure with AlphaFold, and checking the druggability with fpocket/Amber.
Investigate the role of mtDNA in the sex determination/development of Potamilus streckersoni, a freshwater mussel with doubly uniparental mitochondrial inheritance. Scripts for DESeq2, WGCNA, GSEA, AlphaFold/AlphaPulldown, and mt-sncRNA validation.
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