Evidence for proton transfer in the rate-limiting step of a fast-cleaving Varkud satellite ribozyme
Bibliographic record
Abstract
A fast-cleaving version of the Varkud satellite ribozyme, called RG, shows an apparent cis-cleavage rate constant of 5 sec(-1), similar to the rates of protein enzymes that catalyze similar reactions. Here, we describe mutational, pH-rate, and kinetic solvent isotope experiments that investigate the identity and rate constant of the rate-limiting step in this reaction. Self-cleavage of RG exhibits a bell-shaped rate vs. pH profile with apparent pK(a)s of 5.8 and 8.3, consistent with the protonation state of two nucleotides being important for the rate of cleavage. Cleavage experiments in heavy water (D(2)O) revealed a kinetic solvent isotope effect consistent with proton transfer in the rate-limiting step. A mutant RNA that disrupts a peripheral loop-loop interaction involved in RNA folding exhibits pH- and D(2)O-independent cleavage approximately 10(3)-fold slower than wild type, suggesting that this mutant is limited by a different step than wild type. Substitution of adenosine 756 in the putative active-site loop with cytosine also decreases the cleavage rate approximately 10(3)-fold, but the A756C mutant retains pH- and D(2)O-sensitivity similar to wild type, consistent with this mutant and wild type being limited by the chemical step of the reaction. These results suggest that the RG ribozyme provides a good experimental system to investigate the nature of fast, rate-limiting steps in a ribozyme cleavage reaction.
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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 | 0.000 | 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 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".