pep-05165 v1 CC-BY-SA-4.0
Prepronociceptin metabolic peptide
An experimental peptide that targets the same body signal as diabetes and weight-loss drugs like Ozempic; studied as a possible metabolic treatment, 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
ipTM0.655
pTM0.677
avg pLDDT40.5
ranking score0.753
STRUCTURE · PEP-05165 × GLP-1R
ranking0.753
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530
MPRVRSLFQRQKRTE PGLEEVGEIEQKQLQ
in the news
details
▸full evidence table2 metrics
| metric | value | tool |
|---|---|---|
| ipTM | 0.6550981998443604 | openfold3-mlx |
| ranking score | 0.7527382373809814 | openfold3-mlx |
▸structural qualityopenfold3
| metric | value | note |
|---|---|---|
| gpde | 0.842 | global PDE — lower = better |
| disorder | 0.187 | fraction disordered |
| chain pair ipTM (A, B) | 0.655 | interface quality |
▸3-letter notation
Met-Pro-Arg-Val-Arg-Ser-Leu-Phe-Gln-Arg-Gln-Lys-Arg-Thr-Glu-Pro-Gly-Leu-Glu-Glu-Val-Gly-Glu-Ile-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 |
| diffusion samples | 1 |
| runtime | 433s |
| predicted by | mlx@peptide |
| predicted at | 2026-04-15 |
python3 openfold3/run_openfold.py predict --query_json {query.json} --runner_yaml examples/example_runner_yamls/mlx_runner.yml --output_dir {output_dir} --num_diffusion_samples 1 ▸citationbibtex
peptidemodel (2026). Prepronociceptin metabolic peptide (pep-05165, v1). PeptideModel. https://peptidemodel.com/card/pep-05165
@peptide{pep05165,
sequence = {MPRVRSLFQRQKRTEPGLEEVGEIEQKQLQ},
target = {glp-1r},
author = {peptidemodel},
year = {2026},
status = {computed}
} related peptides
references
discussion
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