Single-stranded templates as railroad tracks for hierarchical assembly of DNA origami
Bibliographic record
Abstract
DNA origami is one of the most effective tools for bottom-up construction of novel objects and devices at the nanometer-scale. However, many applications require larger structures than can be obtained with the conventional single-stranded scaffold, typically 7249 nucleotides. Here, we address this limitation by developing custom-made single-stranded scaffolds that bind pre-assembled origami tiles and induce their one-dimensional organization in high yields. Our synthetic method allows the conversion of multiple repetitive and unique sequences into correctly assembled, large backbones, and to finely tune the position and frequency of each building block. Granted with these regions, three and five origami tiles were successfully arranged in 1-D with the aid of one or two scaffolds, forming a nano-"railroad track". This new method increases length scale in DNA origami without increasing cost and complexity, and is anticipated to increase the yield of other approaches aiming to assemble large origami structures.
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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".