Characterization of a catalytically efficient acidic RNA-cleaving deoxyribozyme
Bibliographic record
Abstract
We previously demonstrated--through the isolation of RNA-cleaving deoxyribozymes by in vitro selection that are catalytically active in highly acidic solutions--that DNA, despite its chemical simplicity, could perform catalysis under challenging chemical conditions [Liu,Z., Mei,S.H., Brennan,J.D. and Li,Y. (2003) J. Am. Chem. Soc. 125, 7539-7545]. One remarkable DNA molecule therefrom is pH4DZ1, a self-cleaving deoxyribozyme that exhibits a k(obs) of approximately 1 min(-1) at pH 3.8. In this study, we carried out a series of experiments to examine the sequence and catalytic properties of this acidic deoxyribozyme. Extensive nucleotide truncation experiments indicated that pH4DZ1 was a considerably large deoxyribozyme, requiring approximately 80 out of the original 123 nt for the optimal catalytic activity. A reselection experiment identified ten absolutely conserved nucleotides that are distributed in three catalytically crucial sequence elements. In addition, a trans deoxyribozyme was successfully designed. Comparison of the observed rate constant of pH4DZ1 with experimentally determined rate constant for the uncatalyzed reaction revealed that pH4DZ1 achieved a rate enhancement of approximately 10(6)-fold. This study provides valuable information about this low-pH-functional deoxyribozyme and paves way for further structural and mechanistic characterization of this unique catalytic DNA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 teacher head, 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".