pep-05650 v1 CC-BY-SA-4.0
Germ-killing peptide
A short protein fragment that kills or slows 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.
The peptide was actually made in a lab.
A chemistry service or a researcher ordered the sequence, it was manufactured, and mass spectrometry confirmed the right molecule was produced.
The peptide was tested on its target in a lab.
A binding or activity measurement confirmed that it actually does what the computer predicted — or didn't.
prediction metrics
ipTM0.000
pTM0.488
avg pLDDT74.2
ranking score0.691
STRUCTURE · PEP-05650 × ANTIMICROBIAL
ranking0.691
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
1510152025303540455055
LFGSVKAWFKG AKKGFQDYRYQ KDMAKMNKRYG PNWQQRGGQEP PADAQANDQPP
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 | 0.6908018589019775 | boltz-2 |
▸3-letter notation
Leu-Phe-Gly-Ser-Val-Lys-Ala-Trp-Phe-Lys-Gly-Ala-Lys-Lys-Gly-Phe-Gln-Asp-Tyr-Arg-Tyr-Gln-Lys-Asp-Met-Ala-Lys-Met-Asn-Lys-Arg-Tyr-Gly-Pro-Asn-Trp-Gln-Gln-Arg-Gly-Gly-Gln-Glu-Pro-Pro-Ala-Asp-Ala-Gln-Ala-Asn-Asp-Gln-Pro-Pro
▸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). Germ-killing peptide (pep-05650, v1). PeptideModel. https://peptidemodel.com/card/pep-05650
@peptide{pep05650,
sequence = {LFGSVKAWFKGAKKGFQDYRYQKDMAKMNKRYGPNWQQRGGQEPPADAQANDQPP},
target = {antimicrobial},
author = {peptidemodel},
year = {2026},
status = {computed}
} related peptides
references
discussion
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