pep-05230 v1 CC-BY-SA-4.0
Beta-defensin 130 cancer-fighting peptide
Experimental lab peptide being studied as a possible cancer treatment; not an approved medicine.
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
ipTM0.641
pTM0.805
avg pLDDT54.0
ranking score0.560
STRUCTURE · PEP-05230 × ANTICANCER
ranking0.560
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354045505557
GVIPGQKQCIALKGVCRDK LCSTLDDTIGICNEGKKCC RRWWILEPYPTPVPKGKSP
in the news
details
▸full evidence table2 metrics
| metric | value | tool |
|---|---|---|
| ipTM | 0.6407409310340881 | boltz-2 |
| ranking score | 0.5599918961524963 | boltz-2 |
▸3-letter notation
Gly-Val-Ile-Pro-Gly-Gln-Lys-Gln-Cys-Ile-Ala-Leu-Lys-Gly-Val-Cys-Arg-Asp-Lys-Leu-Cys-Ser-Thr-Leu-Asp-Asp-Thr-Ile-Gly-Ile-Cys-Asn-Glu-Gly-Lys-Lys-Cys-Cys-Arg-Arg-Trp-Trp-Ile-Leu-Glu-Pro-Tyr-Pro-Thr-Pro-Val-Pro-Lys-Gly-Lys-Ser-Pro
▸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 | colabfold_local |
| runtime | — |
| predicted by | — |
| predicted at | 2026-05-22 |
▸citationbibtex
peptidemodel (2026). Beta-defensin 130 cancer-fighting peptide (pep-05230, v1). PeptideModel. https://peptidemodel.com/card/pep-05230
@peptide{pep05230,
sequence = {GVIPGQKQCIALKGVCRDKLCSTLDDTIGICNEGKKCCRRWWILEPYPTPVPKGKSP},
target = {anticancer},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} references
discussion
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