protein-design topic

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

PaddlePaddle

Protein Graph Library

a-r-j

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

RosettaCommons

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

lightdock

Fitness landscape exploration sandbox for biological sequence design.

samsinai

List of papers about Proteins Design using Deep Learning

Peldom

RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.

lightonai

Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design

lucidrains

Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.

ostrokach

Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)

samuelstanton