Recent Patents on Development of Nucleic Acid-based Antiviral Drugs against Seasonal and Pandemic Influenza Virus Infections
Bibliographic record
Abstract
Influenza viruses are etiological agents of deadly flu that continue to pose global health threats, and have caused global pandemics that killed millions of people worldwide. The global crisis involving the avian H5N1 influenza provides compelling reasons to accelerate fast track development of novel antiviral drugs against the potential pandemic virus. The availability of neuraminidase inhibitors such as oseltamivir (tamiflu) improves our ability to defend against influenza viruses, but the incidences of tamiflu-resistance are rising rapidly. Nucleic acid-based antiviral drugs are promising classes of experimental antiviral drugs that have been shown in pre-clinical studies to be effective against seasonal and avian influenza viruses. The potency and versatility of these drugs make them potential candidates to be used in seasonal and pandemic influenza scenarios. The review will assess the recent patents, research and development of antisense oligonucleotides, small interfering RNA, immunomodulating RNA for the prevention and treatment of influenza infection.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".