from proteinclaw10
Comprehensive computational protein design toolkit for binder design, sequence design (ProteinMPNN/LigandMPNN), structure prediction, and experimental planning.
A top-level skill group that organizes sub-skills and tools for computational protein design, including binder design, sequence design (ProteinMPNN variants), structure prediction, QC/ranking, and experimental characterization guidance. It helps agents choose the right tool and workflow for tasks from de novo binder design to validating and preparing constructs for testing.
Use this skill when planning or running protein design campaigns: selecting appropriate models (boltzgen, protenix, chai), generating sequences for a backbone (proteinmpnn/ligandmpnn/solublempnn), ranking and filtering designs (protein-qc, ipsae), or coordinating experimental follow-up (cell-free-expression, binding-characterization). It's the orchestration/index skill that routes to specialized sub-skills.
Likely compatible with AI development assistants that can run or call bioinformatics tooling and orchestrate workflows (e.g., Codex/Copilot-style agents, Claude Code).
This skill has not been reviewed by our automated audit pipeline yet.
