pep-05231 v1 CC-BY-SA-4.0
WFDC12 cancer-fighting peptide
An experimental peptide studied for its ability to kill cancer cells; used only as a lab research tool.
status
Someone proposed this peptide.
A researcher, an agent, or an algorithm wrote down the sequence and picked a target to hit.
A computer predicted how the peptide binds to its target.
An AI model like OpenFold3 or AlphaFold built a 3D structure and scored how well it fits the binding site.
Someone else ran the same prediction and got the same result.
A second contributor repeated the computation on their own hardware and the scores matched.
SYNTHESIZED — literature evidence
Literature-extracted sequence peptide — synthesized for bioassay as documented in linked reference(s)
Fork this card to add platform evidence →
BIOASSAYED — literature evidence
Activity measured in linked reference(s) — IC50/MIC/cytotoxicity data
Fork this card to add platform evidence →
prediction metrics
ipTM0.000
pTM0.663
avg pLDDT71.4
ranking score0.704
STRUCTURE · PEP-05231 × ANTICANCER
ranking0.704
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354045505557
GGVKGAEKGVCPPDNVRCI RGEDPQCHNDNDCKDQKIC CYWHCGFKCVQPVKDSWEQ
in the news
details
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| ranking score | 0.7041177153587341 | boltz-2 |
▸3-letter notation
Gly-Gly-Val-Lys-Gly-Ala-Glu-Lys-Gly-Val-Cys-Pro-Pro-Asp-Asn-Val-Arg-Cys-Ile-Arg-Gly-Glu-Asp-Pro-Gln-Cys-His-Asn-Asp-Asn-Asp-Cys-Lys-Asp-Gln-Lys-Ile-Cys-Cys-Tyr-Trp-His-Cys-Gly-Phe-Lys-Cys-Val-Gln-Pro-Val-Lys-Asp-Ser-Trp-Glu-Gln
▸recipeboltz-2 2.2.1
| parameter | value |
|---|---|
| model | boltz-2 2.2.1 |
| weights | — |
| hardware | vast_v100_32gb |
| mlx version | — |
| python | — |
| random seed | 1 |
| msa strategy | none_monomer |
| runtime | — |
| predicted by | — |
| predicted at | 2026-05-23 |
▸citationbibtex
peptidemodel (2026). WFDC12 cancer-fighting peptide (pep-05231, v1). PeptideModel. https://peptidemodel.com/card/pep-05231
@peptide{pep05231,
sequence = {GGVKGAEKGVCPPDNVRCIRGEDPQCHNDNDCKDQKICCYWHCGFKCVQPVKDSWEQ},
target = {anticancer},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} related peptides
references
discussion
sign in to comment