Modular Access to Structurally Switchable 3D Discrete DNA Assemblies
Bibliographic record
Abstract
In this contribution we describe a facile method to access a large number of three-dimensional discrete DNA assemblies. The approach involves the use of single-stranded and cyclic 2D DNA building blocks, of predefined geometry, as the faces or sides of the objects to be constructed. Any target three-dimensional discrete object that could be retrosynthetically broken down into a combination of the discrete 2D shapes, could in principle be easily accessed using this method. Using triangle 3, square 4, pentagon 5, and hexamer 6, we constructed triangular, cubic, pentameric, and hexameric prisms, as well as the more complex heteroprism HP and biprism BP assemblies in quantitative yields. The use of single-stranded DNA building blocks inherently allows for dynamic character and addressability. Using a series of rigidifying and eraser strands, we generated a triangular prism capable of structural oscillation between three predefined lengths. The easy access to a large number of complex three-dimensional discrete DNA objects that are also dynamic, in response to external stimuli, promises to expand the applications of 3D DNA construction in many areas of nanoscience, drug delivery, and biological chemistry.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".