pep-05256 v1 CC-BY-SA-4.0
Beta-defensin 30 cancer-fighting peptide
A lab-made peptide being studied for its potential to fight cancer cells; experimental, not yet an approved drug.
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)
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BIOASSAYED — literature evidence
Activity measured in linked reference(s) — IC50/MIC/cytotoxicity data
Fork this card to add platform evidence →
prediction metrics
ipTM0.000
pTM0.702
avg pLDDT77.3
ranking score0.759
STRUCTURE · PEP-05256 × ANTICANCER
ranking0.759
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
1510152025303540455053
GVNMYIRQIYDTCWKLKG HCRNVCGKKEIFHIFCGT QFLCCIERKEMPVLFVK
in the news
details
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| ranking score | 0.7586281299591064 | boltz-2 |
▸3-letter notation
Gly-Val-Asn-Met-Tyr-Ile-Arg-Gln-Ile-Tyr-Asp-Thr-Cys-Trp-Lys-Leu-Lys-Gly-His-Cys-Arg-Asn-Val-Cys-Gly-Lys-Lys-Glu-Ile-Phe-His-Ile-Phe-Cys-Gly-Thr-Gln-Phe-Leu-Cys-Cys-Ile-Glu-Arg-Lys-Glu-Met-Pro-Val-Leu-Phe-Val-Lys
▸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). Beta-defensin 30 cancer-fighting peptide (pep-05256, v1). PeptideModel. https://peptidemodel.com/card/pep-05256
@peptide{pep05256,
sequence = {GVNMYIRQIYDTCWKLKGHCRNVCGKKEIFHIFCGTQFLCCIERKEMPVLFVK},
target = {anticancer},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} related peptides
references
discussion
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