pep-05438 v1 CC-BY-SA-4.0
Antiviral peptide
A short protein fragment studied for its ability to fight viruses; used only as a lab research tool.
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
pTM0.549
avg pLDDT84.7
ranking score0.788
STRUCTURE · PEP-05438 × ANTIMICROBIAL
ranking0.788
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354044
PPTCYVPPHSP ATPPPSVRISL LRLVFTLIRSE FELERSMNRRY
in the news
Prions are known for misfolding. An AI found antibiotics inside them. ANTIMICROBIAL · via ANTIMICROBIAL
details
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| ranking score | 0.787672221660614 | boltz-2 |
▸3-letter notation
Pro-Pro-Thr-Cys-Tyr-Val-Pro-Pro-His-Ser-Pro-Ala-Thr-Pro-Pro-Pro-Ser-Val-Arg-Ile-Ser-Leu-Leu-Arg-Leu-Val-Phe-Thr-Leu-Ile-Arg-Ser-Glu-Phe-Glu-Leu-Glu-Arg-Ser-Met-Asn-Arg-Arg-Tyr
▸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). Antiviral peptide (pep-05438, v1). PeptideModel. https://peptidemodel.com/card/pep-05438
@peptide{pep05438,
sequence = {PPTCYVPPHSPATPPPSVRISLLRLVFTLIRSEFELERSMNRRY},
target = {antimicrobial},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} references
discussion
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