pep-05587 v1 CC-BY-SA-4.0
Phylloseptin-Az4 antimicrobial peptide
A short protein fragment that kills or slows the growth of bacteria; 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
pTM0.357
avg pLDDT75.2
ranking score0.673
STRUCTURE · PEP-05587 × ANTIMICROBIAL
ranking0.673
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354045505557
LVLFLGLVSLSICEEEKRE TEEEENDQEEDDKSEEKRF LSLLPSIVSGAVSLAKKLG
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 | 0.6732975244522095 | boltz-2 |
▸3-letter notation
Leu-Val-Leu-Phe-Leu-Gly-Leu-Val-Ser-Leu-Ser-Ile-Cys-Glu-Glu-Glu-Lys-Arg-Glu-Thr-Glu-Glu-Glu-Glu-Asn-Asp-Gln-Glu-Glu-Asp-Asp-Lys-Ser-Glu-Glu-Lys-Arg-Phe-Leu-Ser-Leu-Leu-Pro-Ser-Ile-Val-Ser-Gly-Ala-Val-Ser-Leu-Ala-Lys-Lys-Leu-Gly
▸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). Phylloseptin-Az4 antimicrobial peptide (pep-05587, v1). PeptideModel. https://peptidemodel.com/card/pep-05587
@peptide{pep05587,
sequence = {LVLFLGLVSLSICEEEKRETEEEENDQEEDDKSEEKRFLSLLPSIVSGAVSLAKKLG},
target = {antimicrobial},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
} references
discussion
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