Adenosine-Triggered Elimination of Methylene Blue Noncovalently Bound to Immobilized Functional dsDNA-Aptamer Constructs
Bibliographic record
Abstract
Immobilization and electrochemical characterization of specially designed functional DNA-aptamer constructs are of great importance for the development of versatile biosensors (not limited to gene analysis) and the investigation of molecular interactions between DNA and other molecules. We have constructed a "DNA conformational switch" by incorporating the antiadenosine aptamer sequence in the middle of an otherwise cDNA double helix, as its structural change responds to the presence of small molecule ligands (e.g., adenosine). In particular, methylene blue (MB) was used as a model system to probe the rather complex interaction modes between small redox molecules and the dsDNA-aptamer construct. Besides intercalating with the double-stranded DNA stem, MB can stack with a single guanine base in the relatively unstructured aptamer domain or electrostatically bind to the DNA backbone. The decreased surface density of MB after adenosine binding indicated that the ligand-gated structural change of the dsDNA-aptamer construct can eliminate MB molecules that were originally bound to the aptamer domain but not those in the complementary stem.
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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 | 0.000 |
| 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) | 0.001 | 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 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".