Magnesium-binding studies reveal fundamental differences between closely related RNA triphosphatases
Bibliographic record
Abstract
The Chlorella virus RNA triphosphatase (cvRTPase) is involved in the formation of the RNA cap structure found at the 5'-end of the viral mRNAs and requires magnesium ions to mediate its catalytic activity. To extend our studies on the role of metal ions in phosphohydrolysis, we have used a combination of fluorescence spectroscopy, circular dichroism, denaturation studies and thermodynamic analyses to monitor the binding of magnesium ions to the cvRTPase. Using these techniques, the thermodynamic forces responsible for the interaction of metal ions with an RNA triphosphatase were also evaluated for the first time. Our thermodynamic analyses indicate that the initial association of magnesium with the cvRTPase is dominated by a favorable entropic effect and is accompanied by the release of eight water molecules from the enzyme. Moreover, both fluorescence spectroscopy and circular dichroism assays indicated that minor conformational changes were occurring upon magnesium binding. Mutational studies were also performed and confirmed the importance of three specific glutamate residues located in the active site of the enzyme for the binding of magnesium ions. Finally, in contrast to the yeast RNA triphosphatase, we demonstrate that the binding of magnesium ions to the cvRTPase does not lead to the stabilization of the ground state binding of the RNA substrate. Based on the results of the present study, we hypothesize that the binding of magnesium ions induces local conformational perturbations in the active site residues that ultimately positions the lateral chains of critical amino acids involved in catalysis. Our results highlight fundamental differences in the role of magnesium ions in the phosphohydrolase reactions catalyzed by the cvRTPase and the closely related yeast RNA triphosphatase.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| 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 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".