DNAzymes: From Creation In Vitro to Application In Vivo
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
DNAzymes, also known as deoxyribozymes or DNA enzymes, refer to single-stranded DNA molecules with catalytic capabilities. DNAzymes are generated de novo by in vitro selection--a powerful and yet simple technique that has been routinely used to isolate extremely rare DNA or RNA sequences with a function of interest (e.g. ligand-binding or catalysis) from an extraordinarily large population of single-stranded DNA or RNA molecules. Since the report of the first DNAzyme nearly ten years ago, hundreds of DNA sequences have been isolated in many research laboratories around the world to facilitate many chemical transformations of biological importance. In recent years, considerable efforts have been undertaken to assess a variety of DNAzymes for innovation-driven applications ranging from biosensing to gene regulation. This article provides a review on several key aspects of DNAzyme-related research. We will first review in vitro selection techniques used for DNAzyme creation as well as some DNAzymes created for a few representative chemical transformations. We will then discuss recent progresses in studying and developing DNAzymes as reporter molecules for detection-oriented applications, and as therapeutic agents to regulate gene expression at the RNA level. Future outlook on efforts aimed to bring the wonder of catalytic DNA from laboratory curiosity to real world application are also discussed.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it