Making Protein Design accessible to all via Google Colab!

Neural network model for prediction of amino-acid sequence from a protein backbone structure

Making Protein folding accessible to all!

[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Attempt at reproduction of AlphaFold2

This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention

Extract ligand binding sites from PDB. Match the binding sites to de novo scaffolds.

Forked from https://chnroutes.googlecode.com/

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

functional genomic data integration

some tools for working with protein (PDB) files in tensorflow

a pytorch version for GREMLIN, used to predict the protein contacts by coevolution method.

Build Graph Nets in Tensorflow

A collection of simple Tensorflow examples on Google Colab.

GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!

reimplementation of mfDCA in python

Plugin for PyMOL which allows user to easily visualize output from DCA calculations on a 3D structure

A Tensorflow implementation of Direct Coupling Analysis using Potts model

Gumbel-Softmax Variational Autoencoder with Keras

Inference of couplings in proteins and RNAs from sequence variation

Standardized data set for machine learning of protein structure