pep-05223 v1 CC-BY-SA-4.0
Experimental cancer-fighting peptide
A lab-made peptide being studied for its potential to kill cancer cells; experimental, not 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
pTM0.354
avg pLDDT59.6
ranking score0.548
STRUCTURE · PEP-05223 × ANTICANCER
ranking0.548
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354045505558
IYFIADKMGIQLAPAWYQDI VNWVSAGGTLTTGFAIIVGV TVPAWIAEAAAAFGIASA
in the news
details
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| ranking score | 0.5477598905563354 | boltz-2 |
▸3-letter notation
Ile-Tyr-Phe-Ile-Ala-Asp-Lys-Met-Gly-Ile-Gln-Leu-Ala-Pro-Ala-Trp-Tyr-Gln-Asp-Ile-Val-Asn-Trp-Val-Ser-Ala-Gly-Gly-Thr-Leu-Thr-Thr-Gly-Phe-Ala-Ile-Ile-Val-Gly-Val-Thr-Val-Pro-Ala-Trp-Ile-Ala-Glu-Ala-Ala-Ala-Ala-Phe-Gly-Ile-Ala-Ser-Ala
▸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). Experimental cancer-fighting peptide (pep-05223, v1). PeptideModel. https://peptidemodel.com/card/pep-05223
@peptide{pep05223,
sequence = {IYFIADKMGIQLAPAWYQDIVNWVSAGGTLTTGFAIIVGVTVPAWIAEAAAAFGIASA},
target = {anticancer},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} references
discussion
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