The three transfer RNAs occupying the A, P and E sites on the ribosome are involved in viral programmed -1 ribosomal frameshift
Bibliographic record
Abstract
The -1 programmed ribosomal frameshifts (PRF), which are used by many viruses, occur at a heptanucleotide slippery sequence and are currently thought to involve the tRNAs interacting with the ribosomal P- and A-site codons. We investigated here whether the tRNA occupying the ribosomal E site that precedes a slippery site influences -1 PRF. Using the human immunodeficiency virus type 1 (HIV-1) frameshift region, we found that mutating the E-site codon altered the -1 PRF efficiency. When the HIV-1 slippery sequence was replaced with other viral slippery sequences, mutating the E-site codon also altered the -1 PRF efficiency. Because HIV-1 -1 PRF can be recapitulated in bacteria, we used a bacterial ribosome system to select, by random mutagenesis, 16S ribosomal RNA (rRNA) mutations that modify the expression of a reporter requiring HIV-1 -1 PRF. Three mutants were isolated, which are located in helices 21 and 22 of 16S rRNA, a region involved in translocation and E-site tRNA binding. We propose a novel model where -1 PRF is triggered by an incomplete translocation and depends not only on the tRNAs interacting with the P- and A-site codons, but also on the tRNA occupying the E site.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".