A potential RNA drug target in the hepatitis C virus internal ribosomal entry site
Bibliographic record
Abstract
Subdomain IlId from the hepatitis C virus (HCV) internal ribosome entry site (IRES) has been shown to be essential for cap-independent translation. We have conducted a structural study of a 27-nt fragment, identical in sequence to IlId, to explore the structural features of this subdomain. The proposed secondary structure of IlId is comprised of two 3 bp helical regions separated by an internal loop and closed at one end by a 6-nt terminal loop. NMR and molecular modeling were used interactively to formulate a validated model of the three-dimensional structure of IlId. We found that this fragment contains several noncanonical structural motifs and non-Watson-Crick base pairs, some of which are common to other RNAs. In particular, a motif characteristic of the rRNA alpha-sarcin/ricin loop was located in the internal loop. The terminal loop, 5'-UUGGGU, was found to fold to form a trinucleotide loop closed by a trans-wobble U.G base pair. The sixth nucleotide was bulged out to allow stacking of this U.G pair on the adjacent helical region. In vivo mutational analysis in the context of the full IRES confirmed the importance of each structural motif within IIId for IRES function. These findings may provide clues as to host cellular proteins that play a role in IRES-directed translation and, in particular, the mechanism through which host ribosomes are sequestered for viral function.
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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) | 0.002 | 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".