<i>In vitro</i> Susceptibility of Geographically and Temporally Distinct Zika Viruses to Favipiravir and Ribavirin
Bibliographic record
Abstract
Background Zika virus, a previously neglected mosquito-borne virus, is prompting worldwide concern because of its connection with congenital defects, Guillain-Barré syndrome, meningoencephalitis and myelitis in infected individuals. However, no specific antiviral therapy is available at present. In this study, we investigated the in vitro susceptibility of geographically and temporally distinct Zika viruses against the RNA polymerase inhibitors, favipiravir (T-705) and ribavirin. Methods The in vitro activity of each drug and a 1:1 mixture combination was assessed against five geographically and temporally distinct Zika strains by plaque reduction assay (PRA), the gold standard phenotypic method. Results We showed that both drugs exhibit in vitro inhibitory activity against five different Zika strains isolated in different years and continents, with mean 50% inhibitory concentration (IC 50 ) values of 35 ±14 and 35 ±20 μM, respectively, by PRA. We did not observe a synergistic effect when both drugs were combined at the equimolar concentration (IC 50 =33 ±11 μM). Conclusions These results indicate that T-705 has the potential to be used in patients with complicated diseases and/or those individuals presenting with significant comorbidities.
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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 | 0.001 |
| 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".