Design, Synthesis, and Biological Assessment of Biased Allosteric Modulation of the Urotensin II Receptor Using Achiral 1,3,4-Benzotriazepin-2-one Turn Mimics
Bibliographic record
Abstract
Benzotriazepin-2-ones were designed to mimic the suggested bioactive γ-turn conformation of the Bip-Lys-Tyr tripeptide in Urocontrin ([Bip 4 ]URP), which modulates the urotensin II receptor (UT) and differentiates the effects of the endogenous ligands urotensin II (UII) and urotensin II-related peptide (URP). Twenty-six benzotriazepin-2-ones were synthesized by acylation of anthranilate-derived amino ketones with an aza-glycine equivalent, chemoselective nitrogen functionalization, and ring closure. Several mimics exhibited selective modulatory effects on hUII- and URP-associated vasoconstriction in an ex vivo rat aortic ring bioassay. The C 5 p -hydroxyphenethenyl benzotriazepin-2-one 20g decreased hUII potency and efficacy without changing URP induced vasoconstriction. Its saturated phenethyl counterpart 23g decreased URP potency without influencing hUII-mediated contraction. To our knowledge, 20g and 23g represent the first achiral molecules that modulate selectively hUII and URP biological activities. Effectively synthesized, benzotriaepin-2-one turn mimics offer the potential to differentiate the respective roles, signaling pathways, and phenotypic outcomes of hUII and URP in the UT system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".