Anti-fish nodaviral activity of furan-2-yl acetate extracted from marine<i>Streptomyces</i>spp.
Bibliographic record
Abstract
The antiviral activity of furan-2-yl acetate (C₆H₆O₃) extracted from Streptomyces VITSDK1 spp. was studied in cultured Sahul Indian Grouper Eye (SIGE) cells infected with fish nodavirus (FNV). The nodavirus infection in the SIGE cells was confirmed by reverse transcriptase-polymerase chain reaction (RT-PCR) and the antiviral activity of furan-2-yl acetate was assessed by cytopathic effect, as well as reduction in nodaviral titre (TCID₅₀ mL⁻¹, where TCID₅₀) is the 50% tissue culture infective dose) in the cultured SIGE cells under in vitro conditions. Furan-2-yl acetate (20 µg mL⁻¹) effectively inhibited the replication of the FNV-infected SIGE cell lines and the viral titre was reduced from 4.3 to 2.45 log TCID₅₀ mL⁻¹ on treatments. Furan-2-yl acetate (20 µg mL⁻¹)- treated SIGE cell survival was found to be 90%, as determined by methyl thiazol tetrazolium assay. The results of an immunofluorescent assay revealed a strong association between the viral capsid protein inhibition and a decline in viral replication. The results suggest that furan-2-yl acetate suppressed FNV replication in cultured fish cells, providing a potential approach for the control of nodaviral diseases in marine fishes.
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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".