Kinetic and Binding Analysis of the Catalytic Involvement of Ribose Moieties of a trans-Acting δ Ribozyme
Bibliographic record
Abstract
We have identified ribose 2'-hydroxyl groups (2'-OHs) that are critical for the activity of a trans-cleaving delta ribozyme derived from the antigenomic strand of the hepatitis delta virus. Initially, an RNA-DNA mixed ribozyme composed of 26 deoxyribo- (specifically the nucleotides forming the P2 stem and the P4 stem-loop) and 31 ribonucleotides (those forming the catalytic center) was engineered. This mixed ribozyme catalyzed the cleavage of a small substrate with kinetic parameters virtually identical to those of the all-RNA ribozyme. The further substitution of deoxyribose for ribose residues permitted us to investigate the contribution of all 2'-OHs to catalysis. Determination of the kinetic parameters for the cleavage reaction of the resulting ribozymes revealed (i) 10 2'-OH groups appear to be important in supporting the formation of several hydrogen bonds within the catalytic core, (ii) none of the important 2'-OHs seem to coordinate a magnesium cation, and (iii) 1 of the tested RNA-DNA mixed polymers appeared to stabilize the ribozyme-substrate transition-state complex, resulting in an improvement over the all-RNA counterpart. The contribution of the 2'-OHs to the catalytic mechanism is discussed, and differences with the crystal structure of a genomic delta self-cleaved product are explained. Clearly, the 2'-OHs are essential components of the network of interactions involved in the formation of the catalytic center of the delta ribozyme.
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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) | 0.001 | 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".