Rational evolution of Cd<sup>2+</sup>-specific DNAzymes with phosphorothioate modified cleavage junction and Cd<sup>2+</sup>sensing
Bibliographic record
Abstract
In vitro selection of RNA-cleaving DNAzymes is a powerful method for isolating metal-specific DNA. A few successful examples are known, but it is still difficult to target some thiophilic metals such as Cd(2+) due to limited functional groups in DNA. While using modified bases expands the chemical functionality of DNA, a single phosphorothioate modification might boost its affinity for thiophilic metals without complicating the selection process or using bases that are not commercially available. In this work, the first such in vitro selection for Cd(2+) is reported. After using a blocking DNA and negative selections to rationally direct the library outcome, a highly specific DNAzyme with only 12 nucleotides in the catalytic loop is isolated. This DNAzyme has a cleavage rate of 0.12 min(-1) with 10 μM Cd(2+) at pH 6.0. The Rp form of the substrate is cleaved ∼100-fold faster than the Sp form. The DNAzyme is most active with Cd(2+) and its selectivity against Zn(2+) is over 100 000-fold. Its application in detecting Cd(2+) is also demonstrated. The idea of introducing single modifications in the fixed region expands the scope of DNA/metal interactions with minimal perturbation of DNA structure and property.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".