EticaHub Labs computational protein-design dataset — Cancer Immunotherapy — run 3dae8c3b-fff5-4b1d-98b8-27d845f5c3c8

Computational dataset / research audit record, not a validated treatment. This individual run contains 4 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): Optimize the flexible linker regions in the pH-responsive MOTS-c/PD-1 bispecific fusion using molecular dynamics simulations to enhance structural stability and cleavage precision while preserving dual-target binding affinity. 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: 2.38 bits — low diversity Automated warn: Homopolymer runs: 5-residue run Automated warn: Tandem repeats: 57% repetitive Automated warn: Low-complexity regions: 13 window(s) of 12 aa below 1.8 bits Automated fail: Tertiary structure: extended rod (Rg 41.0 Å vs 9.6 Å expected), no long-range contacts Internal publication gate: verification grade is rejected Internal publication gate: no PubMed citation resolved Internal publication gate: no named target resolved in UniProt Internal publication gate: unresolved target symbols: MOTS, MMP 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.