EticaHub Labs computational protein-design dataset — Pancreatic Cancer Cachexia — run 6c73be51-79ac-4657-9483-7f142007d7c3

Computational dataset / research audit record, not a validated treatment. This individual run contains 5 archived candidates from 1 reported iterations. The pipeline-selected candidate is #2; its internal automated grade is rejected. Proposed research question (not a demonstrated outcome): Measure GDF15 binding affinity, proteolytic half-life in human serum, and SMAD2/3 inhibition potency of the dual-stapled miniprotein in pancreatic cancer cachexia co-culture assays. 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. Selected candidate #2 has 0 cysteines. Its recorded sequence cannot form an intramolecular cysteine disulfide bridge; the proposed disulfide-stapling objective is not demonstrated. The sequence alone also does not establish a non-canonical crosslink. Automated warn: Sequence complexity: 2.46 bits — low diversity Automated warn: Tandem repeats: 77% repetitive Automated fail: Tertiary structure: extended rod (Rg 23.5 Å vs 10.0 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: CXXC 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.