Cationic Polymer Based Nanocarriers for Delivery of Therapeutic Nucleic Acids
Bibliographic record
Abstract
The design and development of nucleic acids based therapeutics for the treatment of diseases arising from genetic abnormalities has made significant progress over the past few years. Advances in synthetic oligonucleotide chemistry resulted in synthesis of nucleic acids that are relatively stable in in vivo environments. However, cellular targeting and intracellular delivery of nucleic acids still remains a challenge. Further, development of nucleic acids based therapeutics depends on the progress of safe and effective carriers for systemic administration. Cationic vectors with diminished cytotoxicity and enhanced efficacy are rapidly emerging as systems of choice. These vectors protect nucleic acids from enzymatic degradation by forming condensed complexes along with targeted tissue and cellular delivery. During the past few years, myriad of reports have appeared reporting delivery of nucleic acids mediated by nanocarriers. This review provides an overview of various nanocarriers employed for in vitro and in vivo delivery of therapeutically relevant nucleic acids e.g., DNA, siRNA, LNA, PNA etc.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".