Dual antagonists of the bradykinin B1 and B2 receptors based on a postulated common pharmacophore from existing non-peptide antagonists
Bibliographic record
Abstract
We have recently drawn attention to the fact that most non-peptide antagonists of the kinin B1 receptor reported so far are structurally related, possessing the core motif phenyl-SO2-NR-(spacer(2-4))-CO-NRR. This is found in compound A (N-[2-[4-(4,5-dihydro-1H-imidazol-2- yl)phenyl]ethyl] - 2- [(2R)-1-(2-napthylsulfonyl)-3-oxo-1,2,3,4-tetrahydroquinoxalin-2-yl]acetamide), a very potent and selective B1 receptor antagonist. A subset of specific bradykinin B2 receptor antagonists (LF16-0687, bradyzide and derivatives) possesses a similar 'scaffold' (phenyl-SO2-NR-CRR-CO-NRR). We investigated whether simple molecules mimicking the postulated pharmacophores could be identified in two public chemical databases. Receptor binding to B1 and B2 receptors expressed by rabbit cultured smooth-muscle cells was confirmed for some of these newly identified agents, with a loss of receptor subtype selectivity. For instance, compound 3[2-(3-oxo-1-(toluene-4-sulfonyl)-1,2,3,4-4H-quinoxalin-2-yl)-N-phenyl-acetamide] exhibits IC50 values of 2.13 and 126 microM in the radioligand competition assays for B1 and B2 receptors, respectively, and a pA2 of 6.27 at the rabbit B1 receptor in a functional test (Lys-des-Arg9-bradykinin-induced contractility of the isolated aorta). Compound 5 (a close analog of compound 3) is a more balanced dual antagonist of low potency (IC50 values of 30 and 117 microM, respectively). As predicted, compounds modeled on a postulated pharmacophore common to some non-peptide B1 or B2 receptor antagonists exhibit measurable binding with decreased receptor subtype selectivity. Dual B1/B(2) receptor antagonists are of possible therapeutic interest and should be developed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".