Bone-and-calcium-signaling peptide (CHEMBL499651)
A short experimental peptide that switches on the body's main parathyroid hormone receptor, which helps control calcium levels and bone strength; 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.
A chemistry service or a researcher ordered the sequence, it was manufactured, and mass spectrometry confirmed the right molecule was produced.
A binding or activity measurement confirmed that it actually does what the computer predicted — or didn't.
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.
Do the two aromatic amino acids at the very end of this peptide do most of the work of sticking to the bone receptor?
If true, chemists could focus on just those two pieces to build simpler, cheaper, and more stable molecules for future bone drugs, shortening the path to new treatments.
Could connecting the two ends of this peptide into a ring make it bind the bone receptor more tightly and survive longer in the body?
If true, a once-weekly or once-monthly bone drug could replace the daily injections that many osteoporosis patients find burdensome, improving quality of life and treatment success rates.
▸full evidence table1 metrics
| metric | value | tool |
|---|---|---|
| IC50 | 2187 nM | GPCRDB/ChEMBL |
▸structural qualityopenfold3
| metric | value | note |
|---|---|---|
| gpde | 2.058 | 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{pep10441,
sequence = {AVAEIQLHQAKWY},
target = {pth1r},
author = {peptidemodel},
year = {2026},
status = {bioassayed}
}