A proof-of-concept for using AlphaFold with new amino acid sequences (this may change to a full project in the future).
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Updated
Dec 2, 2020 - Shell
A proof-of-concept for using AlphaFold with new amino acid sequences (this may change to a full project in the future).
An implementation of the DeepMind's AlphaFold based on PyTorch for research
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.
PyMOL extension to color AlphaFold structures by confidence (pLDDT).
AlphaFold Unofficial Wiki
A tool to visualise the results of AlphaFold2 and inspect the quality of structural predictions
Examines ligand interactions with predicted protein structures
A curated list of awesome protein design research, software and resources.
A curated list of awesome Molecular Modeling And Drug Discovery 🔥
Prediction of possible paths of gene mutation using AlphaFold
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.
An implementation of Invariant Point Attention from Alphafold 2
Repository with scripts and data generated during my internship at Institut Pasteur of Paris
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
Exploring Evolution-aware & free protein language models as protein function predictors
Reliable AlphaFold Measures
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.
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