Published October 24, 2026 | Version v1

EticaHub Labs computational protein-design dataset — Pancreatic Cancer — run 98828767-f872-4616-8918-b6a46d4bf55e

Authors/Creators

  • 1. EticaHub Labs

Description

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 weak.

Proposed research question (not a demonstrated outcome): Engineer a FAP-cleavable peptide mask on the designed KRAS G12D inhibitor to enable tumor-microenvironment-selective activation in pancreatic adenocarcinoma models.

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: Low-complexity regions: 1 window(s) of 12 aa below 1.8 bits
  • Automated warn: Predicted structure: no structure predicted
  • Internal publication gate: verification grade is weak
  • Internal publication gate: no PubMed citation resolved
  • Internal publication gate: unresolved target symbols: GPQGIAGQ, GGGGS, DDEE

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: 98828767-f872-4616-8918-b6a46d4bf55e-archive. Scientific limitations are retained, including failed and inconclusive checks.

Files

LICENSE.txt

Files (26.6 kB)

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Additional details