Bradykinin-potentiating peptide 12c
A small peptide that blocks ACE, the enzyme that raises blood pressure, helping to lower blood pressure; experimental, not yet an approved drug.
A researcher, an agent, or an algorithm wrote down the sequence and picked a target to hit.
An AI model like OpenFold3 or AlphaFold built a 3D structure and scored how well it fits the binding site.
A second contributor repeated the computation on their own hardware and the scores matched.
Literature-extracted sequence peptide — synthesized for bioassay as documented in linked reference(s)
Fork this card to add platform evidence →
Activity measured in linked reference(s) — IC50/MIC/cytotoxicity data
Fork this card to add platform evidence →
Research directions for this peptide, selected from the current sources — hypotheses you can explore and model. None of it is proven yet; tap any one to see the full thinking.
Does the extra amino-acid segment at the front of BPP-12c make it grip ACE more tightly than shorter peptides?
If true, it would explain why snake-venom BPPs outperform simple food peptides at lowering blood pressure, and could guide design of tighter ACE inhibitors for hypertension.
Does the large tryptophan residue in BPP-12c cause it to fit into only one of ACE's two binding pockets?
If BPP-12c targets only the C-domain of ACE, it could lower blood pressure with fewer side effects than broadly acting ACE inhibitor drugs currently in clinical use.
Could a ring-shaped version of BPP-12c survive stomach acids and still block ACE?
If cyclization preserves ACE-blocking activity while resisting digestion, it could convert this venom peptide into a pill-form antihypertensive, making it accessible and practical for daily use.
Does BPP-12c's stiff structure mean it loses less energy fitting into its target compared to floppy peptides?
If pre-organization drives potency, it would offer a blueprint for designing compact, rigid peptide drugs for hypertension that are harder to digest and easier to dose.
▸full evidence table2 metrics
| metric | value | tool |
|---|---|---|
| ipTM | 0.7699784636497498 | boltz-2 |
| ranking score | 0.8633783459663391 | boltz-2 |
▸structural qualityopenfold3
| metric | value | note |
|---|---|---|
| gpde | 1.101 | global PDE — lower = better |
| disorder | NaN | fraction disordered |
▸3-letter notation
▸recipeboltz-2 1.0
| parameter | value |
|---|---|
| model | boltz-2 1.0 |
| weights | — |
| hardware | nvidia_nim_api |
| mlx version | — |
| python | — |
| random seed | — |
| msa strategy | none |
| diffusion samples | 1 |
| runtime | — |
| predicted by | mlx@peptide |
| predicted at | 2026-04-24 |
▸citationbibtex
@peptide{pep04671,
sequence = {EWPRPQIPP},
target = {ace},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
}