Kinetic and Thermodynamic Characterization of the RNA Guanylyltransferase Reaction
Bibliographic record
Abstract
An RNA guanylyltransferase activity is involved in the synthesis of the cap structure found at the 5' end of eukaryotic mRNAs. The RNA guanylyltransferase activity is a two-step ping-pong reaction in which the enzyme first reacts with GTP to produce the enzyme-GMP covalent intermediate with the concomitant release of pyrophosphate. In the second step of the reaction, the GMP moiety is then transferred to a diphosphorylated RNA. Both reactions were previously shown to be reversible. In this study, we report a biochemical and thermodynamic characterization of both steps of the reaction of the RNA guanylyltransferase from Paramecium bursaria Chlorella virus 1, the prototype of a family of viruses infecting green algae. Using a combination of real-time fluorescence spectroscopy, radioactive kinetic assays, and inhibition assays, the complete kinetic parameters of the RNA guanylyltransferase were determined. We produced a thermodynamic scheme for the progress of the reaction as a function of the energies involved in each step. We were able to demonstrate that the second step comprises the limiting steps for both the direct and reverse overall reactions. In both cases, the binding to the RNA substrates is the step requiring the highest energy and generating unstable intermediates that will promote the catalytic activites of the enzyme. This study reports the first thorough kinetic and thermodynamic characterization of the reaction catalyzed by an RNA capping enzyme.
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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 | 0.001 | 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 | 0.000 | 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 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".