Published October 26, 2026 | Version v1

EticaHub Labs computational protein-design dataset — Psoriasis — run dfc83578-424b-472b-ab55-9ce01e33c532

Authors/Creators

  • 1. EticaHub Labs

Description

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): Conjugate the 43-mer IL-1

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 fail: Sequence complexity: 1.37 bits — near-homopolymer, folds confidently but carries no binding information
  • Automated fail: Composition bias: 60% of residues are a single amino acid
  • Automated fail: Tandem repeats: 100% of the sequence is a repeating unit
  • Automated warn: Low-complexity regions: 34 window(s) of 12 aa below 1.8 bits
  • Automated fail: Tertiary structure: extended rod (Rg 19.5 Å vs 9.3 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: MMP, EAAAK, PLGLAG, CHEMBL5331

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.

Notes

Archive record ID: dfc83578-424b-472b-ab55-9ce01e33c532-archive. Scientific limitations are retained, including failed and inconclusive checks.

Files

LICENSE.txt

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Additional details