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 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 | 0.001 | 0.001 |
| 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 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".