Use of the Fused NS4A Peptide−NS3 Protease Domain To Study the Importance of the Helicase Domain for Protease Inhibitor Binding to Hepatitis C Virus NS3-NS4A
Bibliographic record
Abstract
The NS3 protein of hepatitis C virus is unusual because it encodes two unrelated enzymatic activities in linked protease and helicase domains. It has also been intensively studied because inhibitors targeting its protease domain have potential to significantly improve treatment options for those infected with this virus. Many enzymological studies and inhibitor discovery programs have been carried out using the isolated protease domain in complex with a peptide derived from NS4A which stimulates activity. However, some recent publications have suggested that the NS3 helicase domain may influence inhibitor binding and thus suggest work should focus on the full-length NS3-NS4A protein. Here we present the characterization of a single-chain protease in which the NS4A peptide activator is linked to the N-terminus of the NS3 protease domain. This protein behaves well in solution, and its protease activity is very similar to that of full-length NS3-NS4A. We find that this fusion protein, as well as the noncovalent complex of the NS4A peptide with NS3, gives similar Ki values, spanning 3 orders of magnitude, for a set of 25 structurally diverse inhibitors. We also show that simultaneous mutation of three residues on the surface of the helicase domain which has been hypothesized to interact with the protease does not significantly affect enzymatic activity or inhibitor binding. Thus, the protease domain with the NS4A peptide, in a covalent or noncovalent complex, is a good model for the protease activity of native NS3-NS4A.
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How this classification was reachedexpand
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".