awesome-ai-based-protein-design
github.com/opendilab/awesome-ai-based-protein-design ↗A collection of research papers for AI-based protein design
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Papers
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me nature resources from awesome-ai-based-protein-design"
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Papers
- A backbone-centred energy function of neural networks for protein designNature
- Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulationsNature Biomedical Engineering
- Accurate structure prediction of biomolecular interactions with AlphaFold 3Nature
- A high-level programming language for generative protein designArxiv or bioRxiv
- BERTology Meets Biology: Interpreting Attention in Protein Language ModelsICML, ICLR or NeurIPS
- Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative modelsArxiv or bioRxiv
Showing a sample of 34 resources. View the full list on GitHub →