Initial Binding of the Broad Spectrum Antiviral Nucleoside Ribavirin to the Hepatitis C Virus RNA Polymerase
Bibliographic record
Abstract
Ribavirin is a broad spectrum antiviral nucleoside that displays activity against a variety of RNA and DNA viruses. Ribavirin is currently used in combination with interferon-alpha for the treatment of hepatitis C virus (HCV) infection and was recently shown to be directly incorporated by the HCV RNA polymerase into RNA products. This capacity ultimately leads to increased mutation rates and drastically reduces the viral fitness. As a first step toward elucidating the nature of the specific interaction between ribavirin and the HCV polymerase, we have utilized fluorescence spectroscopy to monitor precisely the binding of ribavirin triphosphate (RTP) to the viral polymerase. This spectroscopic approach allowed us to clearly separate the RTP binding activity from the concomitant catalytic steps. We report here the first detailed study of the binding kinetics and thermodynamic parameters involved in the interaction between RTP and an RNA polymerase. We demonstrate that RTP binds to the same active site as nucleotides. Furthermore, we provide evidence that the HCV polymerase cannot only bind to RTP but also to nonphosphorylated ribavirin, albeit with less affinity. By using various combinations of template-primers, we also demonstrate that base pairing is not involved in the initial binding of RTP to the HCV polymerase. Based on the results of circular dichroism and denaturation studies, we show that the RNA polymerase undergoes subtle conformational changes upon the binding of RTP, although the interaction does not significantly modify the stability of the protein. Finally, although metal ions are required for catalytic activity, they are not required for the initial binding of RTP to the polymerase. Such quantitative analyses are of primary importance for the rational design of new ribavirin analogues of potential therapeutic value and provide crucial insights on the interaction between RTP and the HCV RNA polymerase.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".