Sweet drugs Against Bad Bugs: Naphthoquinone-fused Enediyne Sugar Polysulfates for Nanomolar Inhibition of Coronavirus
Bibliographic record
Abstract
It has been four years since the emergence of the COVID-19 pandemic, and the ongoing threat it poses to human health and life un-derscores the continued need for the development of antiviral medications as a means of mitigating future viral outbreaks. In this study, we present a novel class of antiviral compounds known as naphthoquinone-fused enediyne sugar polysulfates, which have demonstrated efficacy against coronaviruses by targeting the conserved receptor binding domain on spike proteins. These compounds induce irreversible damage to the viral structure, resulting in inhibition of viral infection at nanomolar concentrations with minimal cytotoxic effects. Notably, the selectivity index of these compounds exceeds 50,000, suggesting significant potential for further de-velopment in antiviral therapeutics against coronavirus.
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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) | 0.003 | 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".