Progress Toward Absorption, Distribution, Metabolism, Elimination, and Toxicity of DNA Nanostructures
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
Abstract DNA nanostructures are perfectly defined nanomaterials, and their shape/structure/surface chemistry (e.g., appended ligands) can be conveniently modulated by designing the sequence of their constituent DNA strands. No other natural or synthetic drug delivery system offers such predictability or modularity. As such, DNA nanostructures may provide exciting and potentially new opportunities for delivering drugs to diseased cell populations, or to specific sub‐cellular compartments. To date, however, most studies have been performed in cell culture and only recently has the field advanced to in vivo testing. Considering how rapidly the field is evolving, this Progress Report surveys available studies involving the testing of DNA nanostructures in vivo, in an effort to elucidate trends and provide guidelines for future developments. This contribution presents the current progress toward characterizing the absorption, distribution, metabolism, elimination, and toxicity of DNA nanostructures.
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) | 0.000 | 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 it