Aptamer-based strategies for recognizing adenine, adenosine, ATP and related compounds
Bibliographic record
Abstract
Adenine is a key nucleobase, adenosine is an endogenous regulator of the immune system, while adenosine triphosphate (ATP) is the energy source of many biological reactions. Selective detection of these molecules is useful for understanding biological processes, biochemical reactions and signaling. Since 1993, various aptamers have been reported to bind to adenine and its derivatives. In addition, the adenine riboswitch was later discovered. This review summarizes the efforts for the selection of RNA and DNA aptamers for adenine derivatives, and we pay particular attention to the specificity of binding. In addition, other molecular recognition strategies based on rational sequence design are also introduced. Most of the work in the field was performed on the classic DNA aptamer for adenosine and ATP reported by the Szostak group. Based on this aptamer, some representative applications such as the design of fluorescent, colorimetric and electrochemical biosensors, intracellular imaging, and ATP-responsive materials are also described. In addition, we critically review the limit of the reported aptamers and also important problems in the field, which can give future research opportunities.
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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) | 0.001 | 0.001 |
| 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".