EticaHub Labs computational protein-design dataset — Alzheimer's Disease — run 444ebb03-89f7-4709-b70b-4707f50c9dc6

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

This individual run contains 6 archived candidates from 2 reported iterations. The pipeline-selected candidate is #1; its internal automated grade is rejected.

Proposed research question (not a demonstrated outcome): Measure binding affinity and kinetics of the designed protein against Aβ42 oligomers using surface plasmon resonance and assess selectivity over monomeric Aβ42 and α-synuclein aggregates.

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: 1.86 bits — low diversity
• Automated warn: Composition bias: 42% single-residue share
• Automated fail: Tandem repeats: 100% of the sequence is a repeating unit
• Automated warn: Low-complexity regions: 19 window(s) of 12 aa below 1.8 bits
• Automated fail: Tertiary structure: extended rod (Rg 18.7 Å vs 9.2 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

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.