A Conserved Gβ Binding (GBB) Sequence Motif in Ste20p/PAK Family Protein Kinases
Bibliographic record
Abstract
Serine/threonine protein kinases of the Ste20p/PAK family are highly conserved from yeast to man. These protein kinases have been implicated in the signaling from heterotrimeric G proteins to mitogen-activated protein (MAP) kinase cascades and to cytoskeletal components such as myosin-I. In the yeast Saccharomyces cerevisiae, Ste20p is involved in transmitting the mating-pheromone signal from the betagamma-subunits of a heterotrimeric G protein to a downstream MAP kinase cascade. We have previously shown that binding of the G-protein beta-subunit (Gbeta) to a short binding site in the non-catalytic carboxy-terminal region of Ste20p is essential fortransmitting the pheromone signal. In this study, we searched protein sequence databases for sequences that are similar to the Gbeta binding site in Ste20p. We identified a sequence motif with the consensus sequence S S L phi P L I/V x phi phi beta (x: any residue; phi: A, I, L, S, or T; beta: basic residues) that is solely present in members of Ste20p/PAK family protein kinases. We propose that this sequence motif, which we have designated GBB (Gbeta binding) motif, is specifically responsible for binding of Gbeta to Ste20p/PAK protein kinases in response to activation of heterotrimeric G protein coupled receptors. Thus, the GBB motif is a novel type of signaling domain that serves to link protein kinases of the Ste20p/PAK family to G protein coupled 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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".