Structure-Activity Study of Neurokinins: Antagonists for the Neurokinin-2 Receptor
Bibliographic record
Abstract
A series of 21 peptides were synthesized and tested in a variety of isolated organs in order to determine their potential as neurokinin-2 (NK-2) antagonists. The peptides have been tested in the three monoreceptor systems, the dog carotid artery (NK-1), the rabbit pulmonary artery (NK-2) and the rat portal vein (NK-3) as well as on other preparations containing NK-2 receptors, such as the rat vas deferens, the hamster urinary bladder, the guinea-pig trachea and the human urinary bladder. Some of the compounds have also been tested on the human isolated bronchus. Three compounds, of which two are linear peptides, Ac.Leu-Asp-Gln-Trp-Phe-Gly.NH2, Thr-Asp-Tyr-D-Trp-Val-D-Trp-D-Trp-Arg.NH2 and a cyclic one, cyclo[Gln-Trp-Phe-Gly-Leu-Met] have been shown to reduce or eliminate the effects of neurokinin A (NKA) in practically all the preparations containing NK-2 receptors. The first compound was found to be selective for the NK-2 receptor and showed only agonistic or no activity on the other receptor systems, while the second compound showed some antagonistic effects not only on the NK-2 but also on the other systems. The cyclic compound was found to be fairly selective for the NK-2 receptor. The first compound (Ac.Leu-Asp-Gln-Trp-Phe-Gly.NH2) was characterized with respect to its specificity for neurokinins (NK): it was found to be inactive on receptors for acetylcholine, noradrenaline, angiotensin and des Arg9-bradykinin in the rabbit pulmonary artery. Moreover, the compound exerted a competitive type of antagonism on the rabbit pulmonary artery and on the hamster urinary bladder. Although of moderate affinity, the NK-2 receptor antagonists described in this paper provide important tools for pharmacological studies on NK.
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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 | 0.001 | 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".