Antiviral Activity of Various 1-(2′-Deoxy-β-<scp>d</scp>-lyxofuranosyl), 1-(2′-Fluoro-β-<scp>d</scp>-xylofuranosyl), 1-(3′-Fluoro-β-<scp>d</scp>-arabinofuranosyl), and 2′-Fluoro-2′,3′-didehydro-2′,3′-dideoxyribose Pyrimidine Nucleoside Analogues against Duck Hepatitis B Virus (DHBV) and Human Hepatitis B Virus (HBV) Replication
Bibliographic record
Abstract
Despite the existence of successful vaccine and antiviral therapies, infection with hepatitis B virus (HBV) continues to be a major global cause of acute and chronic liver disease and high mortality. We synthesized and evaluated several lyxofuranosyl, 2'-fluoroxylofuranosyl, 3'-fluoroarabinofuranosyl, and 2'-fluoro-2',3'-didehydro-2',3'-dideoxyribose pyrimidine nucleoside analogues for antiviral activities against hepatitis B virus. Among the compounds examined, 1-(2-deoxy-β-d-lyxofuranosyl)thymine (23), 1-(2-deoxy-β-d-lyxofuranosyl)-5-trifluoromethyluracil (25), 1-(2-deoxy-2-fluoro-β-d-xylofuranosyl)uracil (38), 1-(2-deoxy-2-fluoro-β-d-xylofuranosyl)thymine (39), 2',3'-dideoxy-2',3'-didehydro-2'-fluorothymidine (48), and 2',3'-dideoxy-2',3'-didehydro-2'-fluoro-5-ethyluridine (49) were found to possess significant anti-HBV activity against DHBV in primary duck hepatocytes with EC(50) values of 4.1, 3.3, 40.6, 3.8, 0.2, and 39.0 μM, respectively. Compounds 23, 25, 39, 48, and 49 (EC(50) = 41.3, 33.7, 19.2, 2.0-4.1, and 39.0 μM, respectively) exhibited significant activity against wild-type human HBV in 2.2.15 cells. Intriguingly, 25, 39, 48, and 49 retained sensitivity against lamivudine-resistant HBV containing a single mutation (M204I) and 48 emerged as an effective inhibitor of drug-resistant HBV with an EC(50) of 4.1 μM. In contrast, 50% inhibition could not be achieved by lamivudine at 44 μM concentration in the drug-resistant strain. The compounds investigated did not show cytotoxicity to host cells up to the highest concentrations tested.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".