Flaviviridae and mitochondria: Everything you always wanted to know about their relationship but were afraid to ask
Bibliographic record
Abstract
Infections with Flaviviridae constitute a major public health concern, especially considering the limited availability of prophylactic and therapeutic treatments. Most notably, the recent emergence of Zika virus in the Americas was associated with the dramatic increase of severe symptoms such as congenital microcephaly, while hepatitis C virus causes the death of approximately 300,000 individuals annually. Flaviviridae have evolved to hijack cellular organelles and to favor their replication, often by divergent molecular mechanisms. In addition to the remodeling of the endoplasmic reticulum, which is required for the replication of the viral genome and the assembly of the neosynthetized virions, Flaviviridae induce drastic morphological alterations of the mitochondria. This is associated with the viral co-opting of several key mitochondrial functions in apoptosis, innate immunity and metabolism. This review recapitulates the current knowledge about the morphological and functional relationship between Flaviviridae and mitochondria and explains how this contributes to the establishment of a cytoplasmic environment which is favorable to 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".