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 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 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".