Characterization of an RNA-Cleaving Deoxyribozyme with Optimal Activity at pH 5
Bibliographic record
Abstract
An in vitro selection endeavor previously executed by our laboratory led to the isolation of a set of RNA-cleaving deoxyribozymes that thrive under acidic conditions [Liu, Z., Mei, S. H., Brennan, J. D., and Li, Y. (2003) J. Am. Chem. Soc. 125, 7539-7545]. One of these sequences, coined pH5DZ1, is a 100-nucleotide (nt) cis-acting enzyme that was found to exhibit high cleavage activity near pH 5. Herein, we seek to deduce the properties and sequence requirements of this enzyme. This deoxyribozyme was found to cleave a 23-nt chimeric DNA-RNA substrate, which contains a single ribonucleotide flanked by fluorophore- and quencher-modified nucleotides on each side of the cleavage junction. Extensive nucleotide deletion experiments indicated that only 42 bases within the original enzyme sequence are required for catalysis. Results from a reselection experiment further revealed that 26 of these nucleotides are absolutely conserved. In addition to sequence analysis and minimization studies, we successfully designed a trans-acting variant of this enzyme. Characterization of the cleavage products produced upon pH5DZ1-mediated RNA cleavage and analyses of possible structures of pH5DZ1 provided us with insights into the catalytic mechanism of pH5DZ1 and characteristics of deoxyribozymes that retain their activity under acidic conditions.
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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) | 0.000 | 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".