pep-05034 v1 CC-BY-SA-4.0
Nociceptin precursor metabolic peptide
An early-stage lab peptide that hits the same body switch as today's popular weight-loss shots, aiming to help control blood sugar and appetite. Not an approved medicine.
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
ipTM0.585
pTM0.665
avg pLDDT40.2
ranking score0.706
STRUCTURE · PEP-05034 × GLP-1R
ranking0.706
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530354041
MPRVRSLVQVRDAE PGADAEPGADAEPG ADDAEEVEQKQLQ
in the news
details
▸full evidence table2 metrics
| metric | value | tool |
|---|---|---|
| ipTM | 0.5847030282020569 | openfold3-mlx |
| ranking score | 0.7059845924377441 | openfold3-mlx |
▸structural qualityopenfold3
| metric | value | note |
|---|---|---|
| gpde | 0.938 | global PDE — lower = better |
| disorder | 0.210 | fraction disordered |
| chain pair ipTM (A, B) | 0.585 | interface quality |
▸3-letter notation
Met-Pro-Arg-Val-Arg-Ser-Leu-Val-Gln-Val-Arg-Asp-Ala-Glu-Pro-Gly-Ala-Asp-Ala-Glu-Pro-Gly-Ala-Asp-Ala-Glu-Pro-Gly-Ala-Asp-Asp-Ala-Glu-Glu-Val-Glu-Gln-Lys-Gln-Leu-Gln
▸recipeopenfold3-mlx 0.3.1
| parameter | value |
|---|---|
| model | openfold3-mlx 0.3.1 |
| weights | aedd8f3eb814e392… |
| hardware | apple_m4_base_16gb |
| mlx version | 0.31.1 |
| python | 3.14.3 |
| random seed | 42 |
| msa strategy | colabfold |
| runtime | 534s |
| predicted by | mlx@peptide |
| predicted at | 2026-04-14 |
▸citationbibtex
peptidemodel (2026). Nociceptin precursor metabolic peptide (pep-05034, v1). PeptideModel. https://peptidemodel.com/card/pep-05034
@peptide{pep05034,
sequence = {MPRVRSLVQVRDAEPGADAEPGADAEPGADDAEEVEQKQLQ},
target = {glp-1r},
author = {peptidemodel},
year = {2026},
status = {computed}
} related peptides
references
discussion
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