Novel G-protein-coupled receptor genes expressed in the brain: continued discovery of important therapeutic targets
Bibliographic record
Abstract
The rhodopsin family of G-protein-coupled receptors (GPCRs) is the largest known group of cell-surface mediators of signal transduction. The vast majority of these receptors were discovered by methods based upon shared sequence homologies found throughout this family. While such efforts identified a multitude of receptor subtypes for previously known ligands, numerous receptors have been discovered for which endogenous ligands were unknown. These receptors are commonly referred to as orphan receptors. One of the most important tasks of modern pharmacology lies in elucidating the functions of these receptors. Of particular interest are receptors with recognised expression in the central nervous system, given that many psychiatric and neurodegenerative disorders are mediated by unknown mechanisms. Hence, this collection of putative neurotransmitter and neuromodulator signal mediators represents a substantial and untapped resource for novel drug discovery. Recently, various methodologies have accelerated the discovery of novel ligands for these orphan receptors, identifying the basic components required for further physiological ligand/receptor system characterisation. Equipped with proven ligand identification strategies, the characterisation of all orphan GPCRs and the exploitation of their exciting potential as targets for the discovery of novel drugs is anticipated.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".