A New Na<sup>+</sup>‐Dependent RNA‐Cleaving DNAzyme with over 1000‐fold Rate Acceleration by Ethanol
Bibliographic record
Abstract
Enzymes working in organic solvents are important for analytical chemistry, catalysis, and mechanistic studies. Although a few protein enzymes are highly active in organic solvents, little is known regarding nucleic acid-based enzymes. Herein, we report the first RNA-cleaving DNAzyme, named EtNa, that works optimally in concentrated organic solvents containing only monovalent Na(+). The EtNa DNAzyme has a rate of 2.0 h(-1) in 54% ethanol (with 120 mM NaCl and no divalent metal ions), and a Kd of 21 mm Na(+). It retains activity even in 72% ethanol as well as in DMSO. With 4 mm Na(+), the rate in 54% ethanol is >1000-fold higher than that in water. We also demonstrated the use of EtNa to measuring the ethanol content in alcoholic drinks. In total, this DNAzyme has three unique features: divalent metal independent activity, Na(+) selectivity among monovalent metals, and acceleration by organic solvents.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".