Binding Site Characterization and Resistance to a Class of Non-nucleoside Inhibitors of the Hepatitis C Virus NS5B Polymerase
Bibliographic record
Abstract
The virally encoded NS5B RNA-dependent RNA polymerase has emerged as a prime target in the search for specific HCV antivirals. A series of benzimidazole 5-carboxamide compounds inhibit the cellular RNA replication of a HCV subgenomic replicon and we have advanced our understanding of this class of inhibitors through a combination of complementary approaches that include biochemical cross-linking experiments with a photoreactive analogue followed by mass spectrometry analysis of the enzyme. A novel binding site has been localized for these inhibitors at the junction of the thumb domain and the N-terminal finger loop. Furthermore, the isolation and characterization of resistant replicon mutants that co-localize to this region distinguished this class of compounds from other non-nucleoside NS5B inhibitors that bind to distinct allosteric sites. Resistant mutations that emerged with the benzimidazole 5-carboxamide and related compounds were found at three amino acid positions in the thumb domain: Pro(495) with substitutions to Ser, Leu, Ala, or Thr; Pro(496) substitutions to Ser or Ala; and a V499A substitution. Mutations at each of these positions conferred different levels of resistance to this drug class: the Pro(495) changes provided the greatest shifts in compound potency, followed by moderate changes in potency with the Pro(496) substitutions, and finally only minor shifts in potency with V499A. Combinations that include the benzimidazole 5-carboxamide polymerase inhibitors and compounds that bind other sites or other HCV targets, including HCV protease inhibitors, are complementary in cell culture models of HCV RNA replication at suppressing the emergence of resistant variants. This novel class of compounds and unique binding site expand the diversity of HCV antivirals currently under development and offer the potential to improve the treatment of chronic HCV infection.
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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".