complexa-binder-design

complexa-binder-design is a Bioinformatics & life sciences skill for AI agents, published by NVIDIA-BioNeMo in the bionemo-agent-toolkit repository on GitHub. Skillspace rates complexa-binder-design C (78/100) and it passed the safety scan; the rating is based on static analysis only.

Run a complete protein binder design campaign with NVIDIA Proteina-Complexa: resolve a target structure and hotspots from a name/sequence/PDB, co-design binder sequence+structure with reward-guided test-time search (best-of-n, beam search, FK steering, MCTS), select with the internal AF2 reward gate, then INDEPENDENTLY validate each binder by refolding the complex with Boltz2 (default) or OpenFold3 and rank on interface confidence, pLDDT, ipSAE, apo/holo stability, and hotspot contact. Use whenever the user wants de novo binders against a named target, sequence, or PDB, hotspot/epitope-targeted design, Proteina-Complexa / Complexa, or ranked validated binders from one request. Sibling of protein-binder-design (RFdiffusion + ProteinMPNN); this skill uses Proteina-Complexa.

Grade

C

Quality

78 / 100

Safety

Passed

GitHub stars

371

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