Recent Patents in siRNA Delivery Employing Nanoparticles as Delivery Vectors
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
Small interfering RNAs (siRNAs) are rapidly emerging as new therapeutic tools for the treatment of some of the deadly diseases such as cancer. However, poor cellular uptake and instability in physiological milieu limit its therapeutic potential, hence there arises a need of a delivery system which can efficiently and repeatedly deliver siRNA to the target cells. Nanoparticles have shown immense potential as suitable delivery vectors with enhanced efficacy and biocompatibility. These delivery vectors are usually few nanometers in size, which not only protects siRNA against enzymatic degradation but also leads to tissue and cellular targeting. Nanoparticles prepared from various cationic polymers like polyethylenimine, and chitosan have been largely exploited as they bear several advantages such as, ease of manipulation, high stability, low cost and high payload. This review summarizes some of the recent patents on siRNA delivery employing polymer or lipid-based nano-vectors for therapeutic applications. Keywords: Biocompatibility, biodegradability, cationic, chitosan, degradation, delivery, lipoplexes, liposome, lipids, nanoparticles, nano-vectors, polyarginine, polymer, siRNA, therapeutic
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it