The Prosperity and Adversity of M<sub>4</sub> Muscarinic Acetylcholine Receptor Activators in the Treatment of Neuropsychiatric Disorders
Bibliographic record
Abstract
Since the serendipitous discovery of chlorpromazine in the 1950s, almost all current anti-schizophrenia drugs utilize the same mode of action by blocking the dopamine receptors in the brain. Unfortunately, these only treat part of the symptoms and are ineffective in almost 30% of patients. The recent FDA approval of Cobenfy, a coformulation of xanomeline, a M 1 /M 4 muscarinic acetylcholine receptor (mAChR) agonist, and a peripherally restricted pan-mAChR blocker, has propelled the M 4 R as a validated and novel antipsychotic target. With >25 years of history in developing xanomeline, significant challenges remain in developing M 4 R activators, either at the ACh orthosteric binding site or allosterically via secondary less-conserved binding sites. Herein, we summarize recent successes and failures of M 4 R agonists and positive allosteric modulators, along with the progress in structure–activity relationship studies on both orthosteric and allosteric scaffolds to offer pathways for future therapeutics to this novel biological target for neuropsychiatric disorders.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".