pep-05166 v1 CC-BY-SA-4.0
Nociceptin precursor appetite peptide
An experimental peptide aimed at the body's blood-sugar and appetite control system (the GLP-1 receptor). 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
ipTM0.572
pTM0.682
avg pLDDT40.2
ranking score0.690
STRUCTURE · PEP-05166 × GLP-1R
ranking0.690
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
151015202530
MPRVRSLFQEQEEPE PGMEEAGEMEQKQLQ
in the news
details
▸full evidence table2 metrics
| metric | value | tool |
|---|---|---|
| ipTM | 0.5724393129348755 | openfold3-mlx |
| ranking score | 0.689726710319519 | openfold3-mlx |
▸structural qualityopenfold3
| metric | value | note |
|---|---|---|
| gpde | 0.899 | global PDE — lower = better |
| disorder | 0.191 | fraction disordered |
| chain pair ipTM (A, B) | 0.572 | interface quality |
▸3-letter notation
Met-Pro-Arg-Val-Arg-Ser-Leu-Phe-Gln-Glu-Gln-Glu-Glu-Pro-Glu-Pro-Gly-Met-Glu-Glu-Ala-Gly-Glu-Met-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 | 430s |
| 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). Nociceptin precursor appetite peptide (pep-05166, v1). PeptideModel. https://peptidemodel.com/card/pep-05166
@peptide{pep05166,
sequence = {MPRVRSLFQEQEEPEPGMEEAGEMEQKQLQ},
target = {glp-1r},
author = {peptidemodel},
year = {2026},
status = {computed}
} related peptides
references
discussion
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