Analysis of a 3′-translation enhancer in a tombusvirus: A dynamic model for RNA–RNA interactions of mRNA termini
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Tomato bushy stunt virus is a (+)-strand RNA virus that is neither 5'-capped nor 3'-polyadenylated. Translation of viral proteins is instead mediated by an RNA element, the 3'-cap-independent translational enhancer (3'CITE), which is located in its 3' untranslated region (UTR). The 3'CITE is proposed to recruit the translational machinery to the viral message, while a long-distance RNA-RNA interaction between the 3'CITE and 5' UTR is thought to deliver the 43S ribosomal subunit to the 5' end of the viral mRNA. Here we provide the first evidence that the 5' UTR and 3'CITE interact physically. Mutational analysis showed that formation of this RNA-RNA interaction in vitro correlates well with efficient translation in vivo, thus supporting its functional relevance. Other analyses of the 3'CITE confirmed an overall Y-shaped RNA secondary structure and demonstrated the importance of numerous minor structural features for efficient translation of viral mRNAs. Functional studies on the role of the 5' UTR revealed that despite the absence of a cap structure, 43S subunits load at the very 5' end and scan in a 3' direction. These results indicate that the 5'-3' RNA-RNA interaction is likely disrupted by scanning ribosomal subunits and suggest a dynamic model for the interaction of mRNA termini during active translation.
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.
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 | 0.001 |
| 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 it