pep-05326 v1 CC-BY-SA-4.0
AMP2-2 vicilin-like cancer-fighting peptide
An experimental peptide studied in the lab for its potential to kill cancer cells.
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
pTM0.758
avg pLDDT79.0
ranking score0.784
STRUCTURE · PEP-05326 × ANTICANCER
ranking0.784
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
15101520253035404549
ESEFDRQ EYEECKR QCMQLET SGQMRRC VSQCDKR FEEDIDW SKYDNQD
in the news
details
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| ranking score | 0.7835957407951355 | boltz-2 |
▸3-letter notation
Glu-Ser-Glu-Phe-Asp-Arg-Gln-Glu-Tyr-Glu-Glu-Cys-Lys-Arg-Gln-Cys-Met-Gln-Leu-Glu-Thr-Ser-Gly-Gln-Met-Arg-Arg-Cys-Val-Ser-Gln-Cys-Asp-Lys-Arg-Phe-Glu-Glu-Asp-Ile-Asp-Trp-Ser-Lys-Tyr-Asp-Asn-Gln-Asp
▸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). AMP2-2 vicilin-like cancer-fighting peptide (pep-05326, v1). PeptideModel. https://peptidemodel.com/card/pep-05326
@peptide{pep05326,
sequence = {ESEFDRQEYEECKRQCMQLETSGQMRRCVSQCDKRFEEDIDWSKYDNQD},
target = {anticancer},
author = {peptidemodel},
year = {2026},
status = {computed}
} references
discussion
sign in to comment