AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
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Updated
Aug 16, 2026 - Python
AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
A curated, actively-updated list of AI/deep-learning papers, libraries, etc for digital biology: protein folding, binder & antibody design, molecular generation, genomics & single-cell foundation models, datasets, and tools.
Official repository for the Boltz biomolecular interaction models
AI-guided Nipah virus glycoprotein G binder designs submitted to ProteinBase, with reproducible filtering from generated candidates to final selected proteins.
A Claude Code Skill for de novo D-peptide inhibitor design using the Boltz2 IC₅₀ prediction pipeline
Method-independent benchmark of five de novo protein binder design tools on HPC
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