🧬 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
#计算机科学#An implementation of the DeepMind's AlphaFold based on PyTorch for research
#计算机科学#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).
#Awesome#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.
This repository contains the AlphaCutter.py for the removal of non-globular regions from predicted protein structures.
A tool to visualise the results of AlphaFold2 and inspect the quality of structural predictions
A curated list of awesome protein design research, software and resources.
