yangkky/Machine-learning-for-proteins resource

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1714 stars · 219 forks observed · 2026-08-28

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

A curated, community-maintained list of research papers on machine learning applied to proteins, organized by application and model type. It serves as a living bibliography accompanying a review of ML methods in protein engineering.

Use cases

• find papers on machine learning for protein engineering
• find papers on protein structure prediction with deep learning
• find papers on generative models for protein design
• find papers on ML-guided directed evolution
• find papers on protein representation learning
• find papers on predicting protein stability with ML
• find papers on unsupervised protein variant prediction

When to choose

• you want a comprehensive, categorized bibliography of ML-for-proteins research
• you are starting research in computational protein engineering and need background reading
• you want to track recent papers in protein machine learning

When to avoid

• you need runnable code or datasets rather than paper references
• you need a maintained software tool rather than a reading list

Facets

learning-resource · maturity active

machine-learning documentation bioinformatics machine-learning artificial-intelligence tutorials awesome-list papers protein-engineering protein-structure deep-learning curated-list

Member repositories

For agents

markdown · JSON · MCP: product_card(name="yangkky/Machine-learning-for-proteins")