EticaHub Labs computational protein-design dataset — Pancreatic Cancer — run 6b1b23d5-088b-4580-9bb7-1fadd9f3348b

Computational dataset / research audit record, not a validated treatment.

This individual run contains 3 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): Optimize the 64-mer peptide via hydrocarbon stapling to stabilize its RAD51-binding helix and enhance cellular uptake for platinum synergy testing in BRCA2-wildtype pancreatic organoids

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: Tandem repeats: 76% repetitive
• Automated fail: Tertiary structure: extended rod (Rg 26.8 Å vs 10.6 Å expected), no long-range contacts
• Internal publication gate: verification grade is rejected
• Internal publication gate: no PubMed citation resolved
• Internal publication gate: unresolved target symbols: BRC

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.