Aptamer to Ribozyme: The Intrinsic Catalytic Potential of a Small RNA
Bibliographic record
Abstract
The discovery of RNA-based catalysis 23 years ago dramatically changed the way biologists and biochemists thought of RNA. In the recent past, several ribozymes structures have provided some answers as to how catalysis is accomplished and how it relates to RNA structure and folding. However, there is still little information as to how catalytic activity evolved. Here we show that the small malachite green-binding aptamer has intrinsic catalytic potential that can be realized by designing the proper substrate. The charge distribution within the RNA binding pocket stabilizes the transition state of an ester hydrolysis reaction and thus accelerates the overall reaction. The results suggest that electrostatic forces can contribute significantly to RNA-based catalysis. Moreover, even simple RNA structures that have not been selected for catalytic properties can have a basic catalytic potential if they encounter the right substrate. This provides a possible starting point for the molecular evolution of more complex ribozymes.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".