Dynamic Interconversions of HCV Helicase Binding Modes on the Nucleic Acid Substrate
Bibliographic record
Abstract
The dynamics involved in the interaction between hepatitis C virus nonstructural protein 3 (NS3) C-terminal helicase and its nucleic acid substrate have been the subject of interest for some time given the key role of this enzyme in viral replication. Here, we employed fluorescence-based techniques and focused on events that precede the unwinding process. Both ensemble Förster resonance energy transfer (FRET) and ensemble protein induced fluorescence enhancement (PIFE) assays show binding on the 3' single-stranded overhang of model DNA substrates (>5 nucleotides) with no preference for the single-stranded/double-stranded (ss/ds) junction. Single-molecule PIFE experiments revealed three enhancement levels that correspond to three discrete binding sites at adjacent bases. The enzyme is able to transition between binding sites in both directions without dissociating from the nucleic acid. In contrast, the NS3 mutant W501A, which is unable to engage in stacking interactions with the DNA, is severely compromised in this switching activity. Altogether our data are consistent with a model for NS3 dynamics that favors ATP-independent random binding and sliding by one and two nucleotides along the overhang of the loading strand.
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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) | 0.000 | 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".