G Protein–Coupled Receptor Heteromers in Brain: Functional and Therapeutic Importance in Neuropsychiatric Disorders
Bibliographic record
Abstract
G protein-coupled receptors (GPCRs) represent the largest family of plasma membrane proteins targeted for therapeutic development. For decades, GPCRs were investigated as monomeric entities during analysis of their pharmacology or signaling and during drug development. However, a considerable body of evidence now indicates that GPCRs function as dimers or higher-order oligomers. Greater acceptance of oligomerization occurred with the recognition that GPCR interactions form heteromeric receptor complexes, which was validated in vivo, often with pharmacologic, signaling, and functional properties distinct from the constituent protomers. GPCR heteromerization is reviewed in the context of brain disorders, with examples illustrating their functional implication in diverse neuropsychiatric and neurodegenerative disorders, making them an enormous unexploited resource for selective pharmacotherapy target identification. The strategies for development of heteromer-selective ligands are discussed as a new opportunity to precisely target the function of a receptor complex with greater specificity, in contrast to the classical ligands targeting individual receptors.
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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 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".