List of papers about Proteins Design using Deep Learning
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Updated
Feb 21, 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.
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
Fitness landscape exploration sandbox for biological sequence design.
MaSIF-neosurf: surface-based protein design for ternary complexes.
Open source biolab
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
A Unified Evaluation Suite for Protein Design
BindCraft modified to make PyRosetta use and installation optional: no license needed
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
OVO, an open-source ecosystem for de novo protein design
Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)
A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)
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