EticaHub Labs computational protein-design dataset — Pancreatic Cancer — run 3f0a449a-cbfe-4257-b5c2-cb38aa4db7f9

Computational dataset / research audit record, not a validated treatment. This individual run contains 2 archived candidates from 1 reported iterations. The pipeline-selected candidate is #0; its internal automated grade is rejected. Proposed research question (not a demonstrated outcome): Leverage the 56-aa high-confidence scaffold to perform structure-based optimization of the 45-mer helical peptide targeting KRAS-G12D switch II via RosettaDesign and MD-refined binding free energy predictions. 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. Automated warn: Sequence complexity: 2.25 bits — low diversity Automated fail: Tandem repeats: 100% of the sequence is a repeating unit Automated fail: Tertiary structure: extended rod (Rg 19.1 Å vs 9.3 Å expected), no long-range contacts Internal publication gate: verification grade is rejected Internal publication gate: no PubMed citation resolved 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.