Binding‐Induced DNA Nanomachines Triggered by Proteins and Nucleic Acids
Bibliographic record
Abstract
Abstract We introduce the concept and operation of a binding‐induced DNA nanomachine that can be activated by proteins and nucleic acids. This new type of nanomachine harnesses specific target binding to trigger assembly of separate DNA components that are otherwise unable to spontaneously assemble. Three‐dimensional DNA tracks of high density are constructed on gold nanoparticles functionalized with hundreds of single‐stranded oligonucleotides and tens of an affinity ligand. A DNA swing arm, free in solution, is linked to a second affinity ligand. Binding of a target molecule to the two ligands brings the swing arm to AuNP and initiates autonomous, stepwise movement of the swing arm around the AuNP surface. The movement of the swing arm, powered by enzymatic cleavage of conjugated oligonucleotides, cleaves hundreds of oligonucleotides in response to a single binding event. We demonstrate three nanomachines that are specifically activated by streptavidin, platelet‐derived growth factor, and the Smallpox gene. Substituting the ligands enables the nanomachine to respond to other molecules. The new nanomachines have several unique and advantageous features over DNA nanomachines that rely on DNA self‐assembly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".