Bibliographic record
Abstract
The ability to manipulate the RNA interference (RNAi) machinery to specifically silence the expression of target genes could be a powerful therapeutic strategy. Since the discovery that RNAi can be triggered in mammalian cells by short double-stranded RNAs (small interfering RNA, siRNA), there has been a tremendous push by researchers, from academia to big pharma, to move siRNAs into clinical application. The challenges facing siRNA therapeutics are significant. The inherent properties of siRNAs (polyanionic, vulnerable to nuclease cleavage) make clinical application difficult due to poor cellular uptake and rapid clearance. Side effects of siRNAs have also proven to be a further complication. Fortunately, numerous chemical modification strategies have been identified that allow many of these obstacles to be overcome. This unit will present an overview of (1) the chemical modifications available to the nucleic acid chemist for modifying siRNAs, (2) the application of chemical modifications to address specific therapeutic obstacles, and (3) the factors that must be considered when assessing the activity of modified siRNAs.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.000 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".