A Catalytic Loop within Pseudomonas aeruginosa Exotoxin A Modulates Its Transferase Activity
Bibliographic record
Abstract
Mutagenesis techniques were used to replace two loop regions within the catalytic domain of Pseudomonas aeruginosa exotoxin A (ETA) with functionally silent polyglycine loops. The loop mutant proteins, designated polyglycine Loops N and C, were both less active than the wild-type enzyme. However, the polyglycine Loop C mutant protein, replaced with the Gly(483)-Gly(490) loop, showed a much greater loss of enzymatic activity than the polyglycine Loop N protein. The former mutant enzyme exhibited an 18,000-fold decrease in catalytic turnover number (k(cat)), with only a marginal effect on the K(m) value for NAD(+) and the eukaryotic elongation factor-2 binding constant. Furthermore, alanine-scanning mutagenesis of this active-site loop region revealed the specific pattern of a critical region for enzymatic activity. Binding and kinetic data suggest that this loop modulates the transferase activity between ETA and eukaryotic elongation factor-2 and may be responsible for stabilization of the transition state for the reaction. Sequence alignment and molecular modeling also identified a similar loop within diphtheria toxin, a functionally and structurally related class A-B toxin. Based on these results and the similarities between ETA and diphtheria toxin, we propose that this catalytic subregion represents the first report of a diphthamide-specific ribosyltransferase structural motif. We expect these findings to further the development of pharmaceuticals designed to prevent ETA toxicity by disrupting the stabilization of the transition state during the ADP-ribose transfer event.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".