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13 search results found

Graphein ⭐ 932

Protein Graph Library

Papers_for_protein_design_using_dl ⭐ 922

List of papers about Proteins Design using Deep Learning

Paddlehelix ⭐ 729

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

Proteinflow ⭐ 151

Versatile computational pipeline for processing protein structure data for deep learning applications.

Fitness landscape exploration sandbox for biological sequence design.

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.

Chroma Pytorch ⭐ 63

Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch

Tr Rosetta Pytorch ⭐ 54

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

Deepcriticallearning ⭐ 26

Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.

Equiformer Diffusion ⭐ 14

Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some additional improvements

Trdesign Motif ⭐ 8

Codebase for our preprint using trRosetta to design proteins with discontinuous functional sites, found here: https://www.biorxiv.org/content/10.1101/2020.11.29

An ML-feature processing library for biological sequences.

Deep learning for protein science

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