EticaHub Labs computational protein-design dataset — COVID-19 — run b768eaf4-7842-4556-a9dc-a6468a193e22

Computational dataset / research audit record, not a validated treatment. This individual run contains 9 archived candidates from 3 reported iterations. The pipeline-selected candidate is #8; its internal automated grade is verified. Proposed research question (not a demonstrated outcome): Combine top breadth-enhancing mutations from deep mutational scanning into combinatorial CDR variants and validate pan-sarbecovirus neutralization potency against live virus pseudotypes while monitoring thermostability and developability. Evidence and limitations Computational predictions only. No experimental or clinical evidence is supplied. Scores, automated checks and resolved identifiers do not establish binding, novelty, efficacy, safety or medical benefit. The stored "verified" grade is an internal automated check, not peer review or independent scientific validation. Hypothesis, approach and success criteria below are proposed research, not experiments performed. Checkpoint versions, random seeds and complete tool inputs are not established by this archive export; exact rerun reproducibility is not claimed. Internal publication gate: no PubMed citation resolved Internal publication gate: unresolved target symbols: COVID, CDR, CDR3, RBD Files: evidence report, original JSON, all candidate sequences, provenance manifest, license and SHA-256 checksums. Available predicted coordinate exports are included and explicitly labelled; missing structures are not reconstructed. AI-assisted research generated by the EticaHub Labs autopilot. Deaven Mabry is credited as responsible project creator, with EticaHub Labs affiliation. Cited literature remains the work of its original authors; identifier resolution is not claim support.