<i>N</i>‐(Anilinoethyl)amides: Design and Synthesis of Metabolically Stable, Selective Melatonin Receptor Ligands
Bibliographic record
Abstract
The class of N-(anilinoethyl)amides includes melatonin receptor ligands with varied subtype selectivity and intrinsic activity. One of these ligands, the MT(2)-selective partial agonist UCM765 (N-{2-[(3-methoxyphenyl)phenylamino]ethyl}acetamide), had evidenced hypnotic effects in rodents at doses > or =40 mg kg(-1) (s.c.), in spite of its sub-nanomolar affinity for human melatonin receptors. Supposing that its low in vivo potency could be due, at least in part, to metabolic liability in rat liver, UCM765 was incubated with rat liver S9 fraction and rat, mouse, or human microsomes, and the major metabolites were identified by LC-MS, synthesized, and in vitro tested for their affinity toward MT(1) and MT(2) receptors. The obtained information was exploited to design novel analogues of UCM765 that are more resistant to in vitro oxidative degradation, while maintaining a similar binding profile. The analogue UCM924 (N-{2-[(3-bromophenyl)-(4-fluorophenyl)amino]ethyl}acetamide) displayed a binding profile similar to that of UCM765 on cloned human receptors (MT(2)-selective partial agonist) and a significantly longer half-life in the presence of rat liver S9 fraction.
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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 | 0.001 |
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".