pe
pep-05114 v1 CC-BY-SA-4.0

SERPINF1 metabolic peptide

An experimental peptide aimed at the same target as diabetes and weight-loss drugs like Ozempic, being studied for possible effects on blood sugar and metabolism, not an approved medicine.

statuscomputed targetGLP-1R length34 aa refs2
metabolic
EARLY ENTRY This candidate is newly indexed — supporting evidence is still being added. Have a paper or data point? Contribute below.
status 2 / 5 · 2 contributors
prediction metrics openfold3-mlx 0.3.1
ipTM0.667
pTM0.693
avg pLDDT43.6
ranking score0.748
STRUCTURE · PEP-05114 × GLP-1R
ranking0.748
target interface 4.5Å peptide drag rotate · ctrl+scroll zoom · right-click pan
openfold3-mlx 0.3.1 · mmCIF ↓ download
sequence34 aa
15101520253034
DPFFKVPVNKLAAAVSN FGYDLYRVRSSTSPTTN
in the news 136 articles
details expand to inspect
full evidence table2 metrics
metricvaluetool
ipTM 0.6669747829437256 openfold3-mlx
ranking score 0.747538685798645 openfold3-mlx
structural qualityopenfold3
0
metricvaluenote
gpde0.872global PDE — lower = better
disorder0.151fraction disordered
chain pair ipTM (A, B)0.667interface quality
3-letter notation
Asp-Pro-Phe-Phe-Lys-Val-Pro-Val-Asn-Lys-Leu-Ala-Ala-Ala-Val-Ser-Asn-Phe-Gly-Tyr-Asp-Leu-Tyr-Arg-Val-Arg-Ser-Ser-Thr-Ser-Pro-Thr-Thr-Asn
recipeopenfold3-mlx 0.3.1
parametervalue
modelopenfold3-mlx 0.3.1
weightsaedd8f3eb814e392…
hardwareapple_m4_base_16gb
mlx version0.31.1
python3.14.3
random seed42
msa strategycolabfold
diffusion samples1
runtime472s
predicted bymlx@peptide
predicted at2026-04-15
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). SERPINF1 metabolic peptide (pep-05114, v1). PeptideModel. https://peptidemodel.com/card/pep-05114
@peptide{pep05114,
  sequence = {DPFFKVPVNKLAAAVSNFGYDLYRVRSSTSPTTN},
  target   = {glp-1r},
  author   = {peptidemodel},
  year     = {2026},
  status   = {computed}
}
related peptides 5 by signal overlap
references 2 papers
discussion no comments
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