Functional analysis of flavivirus replicase by deep mutational scanning of dengue NS5
Bibliographic record
Abstract
Abstract Flavivirus NS5 is multi-functional viral protein that play critical roles in virus replication, evolution, and immune antagonism against the hosts. Its error-prone replicase activity copies viral RNA for progeny virus particles and shapes virus evolution. Its methyltransferase activity and STAT2-targeting activity compromise type-I interferon signalling, dampening protective immune response during infection. It interacts with several host factors to shape the host-cell environment for virus replication. Thus, NS5 represents a critical target for both vaccine and antiviral drug development. Here, we performed deep mutational scanning (DMS) on the NS5 of dengue virus serotype 2 in mammalian cells. In combination with available structural and biochemical data, the comprehensive single amino-acid mutational data corroborated key residues and interactions involved in enzymatic functions of the replicase and suggested potential plasticity in NS5 guanylyl transferase. Strikingly, we identified that a set of strictly conserved residues in the motifs lining the replicase active site could tolerate mutations, suggesting additional roles of the priming loop in viral RNA synthesis and possible strategies to modulate the error rate of viral replicase activity through active-site engineering. Our DMS dataset and NS5 libraries could provide a framework and a resource to investigate molecular, evolutionary, and immunological aspects of NS5 functions, with relevance to vaccine and antiviral drug development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".