Akt/GSK3 Signaling in the Action of Psychotropic Drugs
Bibliographic record
Abstract
Psychotropic drugs acting on monoamine neurotransmission are major pharmacological treatments for neuropsychiatric conditions such as schizophrenia, depression, bipolar disorder, Tourette syndrome, ADHD, and Alzheimer disease. Independent lines of research involving biochemical and behavioral approaches in normal and/or genetically modified mice provide converging evidence for an involvement of the signaling molecules Akt and glycogen synthase kinase-3 (GSK3) in the regulation of behavior by dopamine and serotonin (5-HT). These signaling molecules have also received attention for their role in the actions of psychoactive drugs such as antidepressants, antipsychotics, lithium, and other mood stabilizers. Furthermore, investigations of the mechanism by which D2 dopamine receptors regulate Akt/GSK3 signaling strongly support the physiological relevance of a new modality of G protein-coupled receptor (GPCR) signaling involving the multifunctional scaffolding protein beta-arrestin 2. Elucidation of the contribution of multiple signaling pathways to the action of psychotropic drugs may provide a better biological understanding of psychiatric disorders and lead to more efficient therapeutics.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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".