Bibliographic record
Abstract
Abstract Uric acid is the end‐product of purine metabolism in humans and an important biomarker for many diseases. To achieve the detection of uric acid without using enzymes, we previously selected a DNA aptamer for uric acid with a K d of 1 μM but the aptamer required multiple Na + ions for binding. Saturated binding was achieved with around 700 mM Na + and the binding at the physiological condition was much weaker. In this work, a new selection was performed by alternating Mg 2+ ‐containing buffers with Na + and Li + . After 13 rounds of selection, a new aptamer sequence named UA‐Mg‐1 was obtained. Isothermal titration calorimetry confirmed aptamer binding in both selection buffers, and the K d was around 8 μM. The binding of UA‐Mg‐1 to UA required only Mg 2+ . This is an indicator of successful switching of metal dependency via the salt‐toggled selection method. The UA‐Mg‐1 aptamer was engineered into a fluorescent biosensor based on the strand‐displacement assay with a limit of detection of 0.5 μM uric acid in the selection buffer. Finally, comparison with the previously reported Na + ‐dependent aptamer and a xanthine/uric acid riboswitch was also made.
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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".