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
Anti-picornaviral antisense agents are part of a broader group of nucleic acid-based molecules developed for sequence-specific inhibition of translation and/or transcription of the target sequence through induced nuclease activity or physical hindrance. Three types of nucleic acid-based gene silencing molecules can be distinguished, including DNA-base antisense oligonucleotides (ASO), nucleic acid enzymes (ribozyme and DNAzyme) and double-stranded small interfering RNA (siRNA or microRNA). These antisense DNA and RNA molecules have been widely studied for gene functional studies and therapeutic purposes. In this review, we focus on drug development using ASO and siRNA strategies to inhibit picornavirus infections. The picornavirus genome organization and life cycle is described, followed by discussion of design considerations, chemical modifications and drug delivery approaches. Recent studies using antisense against picornavirus are reviewed. Finally, we compare the advantages and disadvantages of the antisense agents with those of other therapeutics, taking into consideration their limitations which need to be overcome to achieve the final goal of clinical application.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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