List of papers about Proteins Design using Deep Learning
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Updated
Apr 4, 2026
List of papers about Proteins Design using Deep Learning
Protein Graph Library
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Official repository for the ProteinGym benchmarks
The Rosetta Bio-macromolecule modeling package. Available through license with the University of Washington.
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Versatile computational pipeline for processing protein structure data for deep learning applications.
De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds
MaSIF-neosurf: surface-based protein design for ternary complexes.
Fitness landscape exploration sandbox for biological sequence design.
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
Open source biolab
BindCraft modified to make PyRosetta use and installation optional: no license needed
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
A Unified Evaluation Suite for Protein Design
OVO, an open-source ecosystem for de novo protein design
Claude Code skills for protein design
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
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