Supramolecular Protein Assemblies Based on DNA Templates
Bibliographic record
Abstract
DNA plays an important role in the process of protein assembly. DNA viruses such as the M13 virus are typical examples in which single DNA genomes behave as templates to induce the assembly of multiple major coat protein (PVIII) monomers. Thus, the design of protein assemblies based on DNA templates attracts much interest in the construction of supramolecular structures and materials. With the development of DNA nanotechnology, precise 1D and 3D protein nanostructures have been designed and constructed by using DNA templates through DNA-protein interactions, protein-ligand interactions, and protein-adapter interactions. These DNA-templated protein assemblies show great potential in catalysis, medicine, light-responsive systems, drug delivery, and signal transduction. Herein, we review the progress on DNA-based protein nanostructures that possess sophisticated nanometer-sized structures with programmable shapes and stimuli-responsive parameters, and we present their great potential in the design of biomaterials and biodevices in the future.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".