Binding-Induced DNA Assembly and Its Application to Yoctomole Detection of Proteins
Bibliographic record
Abstract
We describe the binding-induced DNA assembly principle and strategy that enable ultrasensitive detection of molecular targets and potential construction of unique nanostructures/nanoreactors. Two DNA motifs that are conjugated to specific affinity ligands assemble preferentially only when a specific target triggers a binding event. The binding-induced assembly of the DNA motifs results in the formation of a highly stable closed-loop structure, raising the melting temperature (T(m)) of the hybrid by >30 °C and enabling effective differentiation of the target-specific assembly from the background. The ability to detect as few as a hundred molecules (yoctomole) of streptavidin, platelet derived growth factor, and prostate specific antigen represents an improvement of detection limits by 10(3)-10(5)-fold over traditional immunoassays. The assay is performed in a single tube, eliminating separation, immobilization, and washing steps of conventional assays. By incorporating unique signaling and structural features into the DNA motifs, we envision diverse applications in biosensing and nanotechnology.
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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".