pep-05197 v1 CC-BY-SA-4.0
Cancer-fighting peptide
A peptide studied for its ability 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)
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
pTM0.495
avg pLDDT67.8
ranking score0.641
STRUCTURE · PEP-05197 × ANTICANCER
ranking0.641
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354045505560
LVATGMAAGVAKTIVNAVSA GMDIATALSLFSGAFTAAGG IMALIKKYAQKKLWKQLIAA
in the news
details
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| ranking score | 0.6414114832878113 | boltz-2 |
▸3-letter notation
Leu-Val-Ala-Thr-Gly-Met-Ala-Ala-Gly-Val-Ala-Lys-Thr-Ile-Val-Asn-Ala-Val-Ser-Ala-Gly-Met-Asp-Ile-Ala-Thr-Ala-Leu-Ser-Leu-Phe-Ser-Gly-Ala-Phe-Thr-Ala-Ala-Gly-Gly-Ile-Met-Ala-Leu-Ile-Lys-Lys-Tyr-Ala-Gln-Lys-Lys-Leu-Trp-Lys-Gln-Leu-Ile-Ala-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). Cancer-fighting peptide (pep-05197, v1). PeptideModel. https://peptidemodel.com/card/pep-05197
@peptide{pep05197,
sequence = {LVATGMAAGVAKTIVNAVSAGMDIATALSLFSGAFTAAGGIMALIKKYAQKKLWKQLIAA},
target = {anticancer},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} references
discussion
sign in to comment