pep-05204 v1 CC-BY-SA-4.0
Hepcidin anticancer 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
pTM0.215
avg pLDDT51.7
ranking score0.457
STRUCTURE · PEP-05204 × ANTICANCER
ranking0.457
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354045505559
PHQTGQLTDLRAQDTAGAEA GLQPTLQLRRLRRRDTHFPI CIFCCGCCKTPKCGLCCKT
in the news
details
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| ranking score | 0.45684748888015747 | boltz-2 |
▸3-letter notation
Pro-His-Gln-Thr-Gly-Gln-Leu-Thr-Asp-Leu-Arg-Ala-Gln-Asp-Thr-Ala-Gly-Ala-Glu-Ala-Gly-Leu-Gln-Pro-Thr-Leu-Gln-Leu-Arg-Arg-Leu-Arg-Arg-Arg-Asp-Thr-His-Phe-Pro-Ile-Cys-Ile-Phe-Cys-Cys-Gly-Cys-Cys-Lys-Thr-Pro-Lys-Cys-Gly-Leu-Cys-Cys-Lys-Thr
▸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). Hepcidin anticancer peptide (pep-05204, v1). PeptideModel. https://peptidemodel.com/card/pep-05204
@peptide{pep05204,
sequence = {PHQTGQLTDLRAQDTAGAEAGLQPTLQLRRLRRRDTHFPICIFCCGCCKTPKCGLCCKT},
target = {anticancer},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} related peptides
references
discussion
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