Small GTP-binding protein-coupled receptors
Bibliographic record
Abstract
Heterotrimeric GPCRs (G-protein-coupled receptors) form the largest group of integral membrane receptor proteins and mediate diverse physiological processes. In addition to signalling via heterotrimeric G-proteins, GPCRs can also signal by interacting with various small G-proteins to regulate downstream effector pathways. The small G-protein superfamily is structurally classified into at least five families: the Ras, Rho/Rac/cdc42, Rab, Sar1/Arf and Ran families. They are monomeric G-proteins with molecular masses over the range 20-30 kDa, which function as molecular switches to control many eukaryotic cell functions. Several studies have provided evidence of crosstalk between GPCRs and small G-proteins. It is well documented that GPCR signalling through heterotrimeric G-proteins can lead to the activation of Ras and Rho GTPases. In addition, RhoA, Rabs, ARFs and ARF GEFs (guanine nucleotide-exchange factors) can associate directly with GPCRs, and GPCRs may also function as GEFs for small GTPases. In this review, we summarize the recent progress made in understanding the interaction between GPCRs and small GTPases, focusing on understanding how the association of small G-proteins with GPCRs and GPCR-regulatory proteins may influence GPCR signalling and intracellular trafficking.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.010 |
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".