Non‐competitive pharmacological antagonism at the rabbit B<sub>1</sub> receptor
Bibliographic record
Abstract
The B(1) receptor for kinins, stimulated by kinin metabolites without the C-terminal Arg residue (e.g., des-Arg(9)-bradykinin (BK) and Lys-des-Arg(9)-BK), is an increasingly recognized molecular target for the development of analgesic and anti-inflammatory drugs. Recently developed antagonists of this receptor were compared to a conventional antagonist, Ac-Lys-[Leu(8)]-des-Arg(9)-BK, in pharmacological assays based on the rabbit B(1) receptor. B-9858 (Lys-Lys-[Hyp(3), Igl(5), D-Igl(7), Oic(8)]des-Arg(9)-BK) and three other analogues possessing the alpha-2-indanylglycine(5) (Igl(5)) residue (order of potency B-9858 approximately B-10146>B-10148>B-10050) were partially insurmountable antagonists of des-Arg(9)-BK in the contractility assay based on rabbit aortic rings. B-9858-induced depression of the maximal effect was more pronounced in tissues treated with the protein synthesis inhibitor cycloheximide to block the spontaneous increase of response attributed to the post-isolation formation of B(1) receptors, and only partly reversible on washing. By comparison, Ac-Lys-[Leu(8)]des-Arg(9)-BK was a surmountable antagonist (pA(2) 7. 5), even in cycloheximide-treated tissues. B-9958 (Lys-[Hyp(3), CpG(5), D-Tic(7), CpG(8)]des-Arg(9)-BK) was also surmountable (pA(2) 8.5). The binding of [(3)H]-Lys-des-Arg(9)-BK to recombinant rabbit B(1) receptors expressed in COS-1 cells was influenced by two of the antagonists: while Ac-Lys-[Leu(8)]des-Arg(9)-BK competed for the radioligand binding without affecting the B(max), B-9858 decreased the B(max) in a time-dependent and washout-resistant manner. B-9858 and analogues possessing Igl(5) are the first reported non-competitive, non-equilibrium antagonists of the kinin B(1) receptor.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".