There are 9 repositories under alphafold topic.
š§¬ 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
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
PyMOL extension to color AlphaFold structures by confidence (pLDDT).
Singularity recipe for AlphaFold
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.
AlphaFind: Discover structure similarity across the entire known proteome
A curated list of awesome protein design research, software and resources.
RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding
A curated list of awesome Molecular Modeling And Drug Discovery š„
Repository of Jupyter Notebooks created by the Bio2Byte group
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
An implementation of Invariant Point Attention from Alphafold 2
Screen interactions with AlphaFold-Multimer
molecular graph representation
Examines ligand interactions with predicted protein structures
This package provides an basic implementation of the contact prediction network used in AlphaFold 1 for beginner, associated model weights and CASP13 dataset as used for CASP13 (2018) and published in Nature
Protein representation learning using graph neural networks and Alphafold generated 3D structures.
A proof-of-concept for using AlphaFold with new amino acid sequences (this may change to a full project in the future).
This repo contains a random forest, a convolutional neural network, and a graph convolutional neural network which predict the binding interaction between olfactory proteins and various chemicals using Alphafold predicted structural data.
Repository with scripts and data generated during my internship at Institut Pasteur of Paris
AlphaFold-wrapper for small HPC
Serotonin pathways interaction networks