Conjugation and Evaluation of Small Hydrophobic Molecules to Triazole-Linked siRNAs
Bibliographic record
Abstract
Short interfering RNAs (siRNAs) have tremendous potential as a new class of next-generation therapeutics; however, their progress is lagging due to issues related to stability, biodistribution, and cell-membrane permeability. To overcome these issues, there is widespread interest in chemically modifying siRNAs. In this study, siRNAs that contain a triazole-backbone unit with pyrimidine-modified hydrophobic substituents were synthesized and examined for their gene-silencing activity. In our study, we generated a library of siRNAs that target both a plasmid reporter system and an endogenous gene target, bcl-2. Our results indicate that these unique modifications are well tolerated within the RNA interference pathway. In addition, a cholesterol-modified triazole-linked siRNA targeting the exogenous target firefly luciferase was capable of gene-silencing at levels greater than 80% in the absence of a carrier complex.
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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) | 0.000 | 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) | 0.001 | 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 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".