Tracing Sequence Diversity Change of RNA-Cleaving Deoxyribozymes under Increasing Selection Pressure during in Vitro Selection
Bibliographic record
Abstract
In vitro selection has been used extensively over the past 10 years to create functionally diverse DNA enzymes. The majority of in vitro selection experiments to date have focused on the outcome rather than the process itself, a process that remains to be fully elucidated. In vitro selection techniques rely on the probability that some DNA molecules in a random-sequence library will fold into an appropriate tertiary structure and catalyze a desired reaction. Thus, sufficient sequence diversity in the DNA pool (and hence more catalytic DNA sequences) is a prerequisite for the successful isolation of efficient deoxyribozymes. The catalytic sequence diversity established by in vitro selection is governed largely by the choice of selection pressures, one of which is the length of the reaction time. The objective of this study was to evaluate the sequence diversity change of a pool of RNA-cleaving deoxyribozymes as a function of the reaction time. Seventeen rounds of in vitro selection were performed, and the reaction time was progressively decreased from 5 h to 5 s. A representative population from each time class was subsequently cloned and sequenced. A decline in sequence diversity was observed with decreasing reaction time, and the relationship appears to be logarithmic. In contrast, a control selection performed with a constant reaction time during each round led to a linear and comparatively very slow decrease in sequence diversity. This study provides the first methodical examination of the change in catalytic sequence diversity that occurs through the course of a deoxyribozyme selection experiment. Moreover, it represents a first step toward fully understanding the intricate pathway that lies between the beginning and end of an in vitro selection experiment.
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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 | 0.000 | 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 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".