On the action of Brefeldin A on Sec7-stimulated membrane-recruitment and GDP/GTP exchange of Arf proteins
Bibliographic record
Abstract
Arf (ADP-ribosylation factor) proteins form a special class of small GTP-binding proteins in that their activation by GDP/GTP exchange is coupled to their recruitment to membranes using a built-in structural mechanism. These coupled processes are stimulated by GEFs (guanine nucleotide-exchange factors) that carry a catalytic Sec7 domain, whose basic mechanism has been uncovered by biochemical and structural studies. Crystal structures of intermediates of the GDP/GTP exchange reaction, from which GDP has not dissociated, notably allowed a movie of the exchange reaction to be reconstituted. They showed that Sec7 domains secure Arf-GDP to membranes before they proceed to nucleotide dissociation, and thus are active participants to the coupling of membrane-recruitment to nucleotide exchange. The drug BFA (Brefeldin A) was used to trap the complex that initiates the exchange reaction, providing a structural basis for its inhibition of Arf and its action on the membrane-recruitment of isolated Sec7 domains. Based on the dissection of this basic mechanism, the survey of reported BFA effects in cells on large multidomain ArfGEFs of the BIG1/2 and GBF1 families shows that the levels and compartmental distribution of BFA-induced recruitment of ArfGEFs to membranes cannot be explained from isolated Sec7 domains acting as independent domains. This leads to the hypothesis that Sec7 activity is inhibited in these ArfGEFs by an intramolecular interaction, which would be released by interaction with a compartment-specific receptor.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 0.000 |
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 teacher head, 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".