pep-05031 v1 CC-BY-SA-4.0
VIP blood-sugar-regulating peptide
A peptide that activates the body's blood-sugar-lowering system; 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.
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
ipTM0.860
pTM0.864
avg pLDDT69.1
ranking score0.725
STRUCTURE · PEP-05031 × GLP-1R
ranking0.725
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354042
HADGVFTSDYSRLL GQISAKKYLESLIG KRISSSISEDPVPV
in the news
details
▸full evidence table2 metrics
| metric | value | tool |
|---|---|---|
| ipTM | 0.8597946763038635 | boltz-2 |
| ranking score | 0.7247450351715088 | boltz-2 |
▸3-letter notation
His-Ala-Asp-Gly-Val-Phe-Thr-Ser-Asp-Tyr-Ser-Arg-Leu-Leu-Gly-Gln-Ile-Ser-Ala-Lys-Lys-Tyr-Leu-Glu-Ser-Leu-Ile-Gly-Lys-Arg-Ile-Ser-Ser-Ser-Ile-Ser-Glu-Asp-Pro-Val-Pro-Val
▸recipeboltz-2 1.0
| parameter | value |
|---|---|
| model | boltz-2 1.0 |
| weights | — |
| hardware | nvidia_nim_api |
| mlx version | — |
| python | — |
| random seed | — |
| msa strategy | colabfold_nvidia |
| diffusion samples | 1 |
| runtime | — |
| predicted by | mlx@peptide |
| predicted at | 2026-04-26 |
▸citationbibtex
peptidemodel (2026). VIP blood-sugar-regulating peptide (pep-05031, v1). PeptideModel. https://peptidemodel.com/card/pep-05031
@peptide{pep05031,
sequence = {HADGVFTSDYSRLLGQISAKKYLESLIGKRISSSISEDPVPV},
target = {glp-1r},
author = {peptidemodel},
year = {2026},
status = {computed}
} related peptides
references
discussion
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