Structural dynamics of dengue virus UTRs and their cyclization
Bibliographic record
Abstract
The dengue virus (DENV) poses a significant threat to human health, accounting for approximately 400 million infections each year. Its genome features a circular structure that facilitates replication through long-range RNA-RNA interactions, utilizing cyclization sequences located in the untranslated regions (UTRs). To gain new insights into the organization of the DENV genome, we purified the 5' and 3' UTRs of DENV in vitro and examined their structural and binding properties using various biophysical techniques combined with computational methods. Through our biophysical characterization, we determined the 5' and 3' UTR regions to bind with an affinity of 40 nM in a 1:1 stoichiometry. By using small-angle x-ray scattering, we provide the first structural characterization of the 3' and 5' UTR regions, revealing several plausible conformations that the viral UTRs may adopt during replication. This comprehensive investigation revealed key features that provide mechanistic insights into the different structural states during DENV replication, as tracked through the accessibility of various RNA conformations. Overall, our research enhances the understanding of DENV cyclization, emphasizing the structural adaptability, dynamic folding, and flexibility of these RNA molecules in solution. By uncovering details at the atomic level, we aim to contribute to the development of targeted drugs that can disrupt crucial stages of viral replication.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".