Peldom/papers_for_protein_design_using_DL resource

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1968 stars · 220 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated list of research papers on protein design using deep learning, including benchmarks, datasets, and reviews. It serves as a reading resource for researchers in computational biology and AI-driven protein engineering.

Use cases

• find papers on deep learning for protein design
• discover datasets and benchmarks for protein structure prediction
• keep up with new research in computational protein engineering
• find reviews on generative models for enzyme design
• locate code implementations accompanying protein design papers

When to choose

• you need a curated, regularly updated reading list for AI protein design research
• you want links to papers, code, and datasets in one place

When to avoid

• you need runnable software rather than a paper list
• you need a comprehensive machine learning for proteins list beyond design focus

Facets

learning-resource · maturity active

documentation deep-learning bioinformatics artificial-intelligence cross-platform awesome-list protein-design papers computational-biology protein-structure

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Peldom/papers_for_protein_design_using_DL")