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.
AlphaFold Unofficial Wiki
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
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.
Protein representation learning using graph neural networks and Alphafold generated 3D structures.
This repository contains the AlphaCutter.py for the removal of non-globular regions from predicted protein structures.
Predict protein folding structures using ColabFold. Gain a deeper understanding of protein folding prediction with AlphaFold2 and MMseqs2. Run the Jupyter notebook on UCloud, learn to interpret results, predict protein structures of interest. Technical requirements provided. Enhance your knowledge of protein folding and AlphaFold2's principles. Fam
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