Monitoring SARS-CoV-2 Nsp13 helicase binding activity using expanded genetic code techniques
Bibliographic record
Abstract
-azido-l-phenylalanine (AzF) into Nsp13 for fluorescent labelling of the enzyme with a conjugated Cy5 fluorophore. This Cy5-labelled Nsp13-AzF can then be used in Förster resonance energy transfer (FRET) experiments to investigate the dynamics of enzyme translocation on its substrate during binding and unwinding. Five sites (F81, F90, Y205, Y246, and Y253) were identified for AzF incorporation in Nsp13 and assessed for fluorescent labelling efficiency. The incorporation of AzF was confirmed to not interfere with the unwinding activity of the helicase. Subsequently, FRET-based binding assays were conducted to monitor the binding of Cy5-labelled Nsp13-AzF constructs to a series of fluorescently-labelled nucleic acid substrates in a distance-dependent manner. Overall, this approach not only allows for the direct monitoring of Nsp13's binding activity on its substrate, it may also introduce a novel method to screen for compounds that can inhibit this essential enzymatic activity during viral replication.
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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 | 0.000 | 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) | 0.000 | 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".