pep-05091 v1 CC-BY-SA-4.0
Protachykinin-1 metabolic peptide
An experimental peptide that hits the same body target as diabetes and weight-loss drugs like Ozempic, being studied for blood sugar and weight effects; 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
ipTM0.511
pTM0.645
avg pLDDT40.9
ranking score0.624
STRUCTURE · PEP-05091 × GLP-1R
ranking0.624
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
sequence
1510152025303536
DADSSVEKQVALLKALYG HGQISHKRHKTDSFVGLM
in the news
details
▸full evidence table2 metrics
| metric | value | tool |
|---|---|---|
| ipTM | 0.510604202747345 | openfold3-mlx |
| ranking score | 0.6235864758491516 | openfold3-mlx |
▸structural qualityopenfold3
| metric | value | note |
|---|---|---|
| gpde | 1.073 | global PDE — lower = better |
| disorder | 0.172 | fraction disordered |
| chain pair ipTM (A, B) | 0.511 | interface quality |
▸3-letter notation
Asp-Ala-Asp-Ser-Ser-Val-Glu-Lys-Gln-Val-Ala-Leu-Leu-Lys-Ala-Leu-Tyr-Gly-His-Gly-Gln-Ile-Ser-His-Lys-Arg-His-Lys-Thr-Asp-Ser-Phe-Val-Gly-Leu-Met
▸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 | 440s |
| 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). Protachykinin-1 metabolic peptide (pep-05091, v1). PeptideModel. https://peptidemodel.com/card/pep-05091
@peptide{pep05091,
sequence = {DADSSVEKQVALLKALYGHGQISHKRHKTDSFVGLM},
target = {glp-1r},
author = {peptidemodel},
year = {2026},
status = {computed}
} related peptides
references
discussion
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