Bibliographic record
Abstract
In prokaryotes such as Escherichia coli, initiation of translation is known to be promoted by the base pairing of a purine rich sequence (called Shine-Dalgarno, SD) on the 5′ end of a mRNA, to the 3′ end (anti-SD) of 16S ribosomal RNA (rRNA). It has recently been shown that epsilon (ε), a sequence derived from the 5′-untranslated region of phage T7 gene 10, is also capable of enhancing (when combined with an SD sequence) translation in E. coli. Lack of sequence similarity between ε and SD sequence has indicated that ε affects translation by a mechanism different from the classical SD-anti-SD interaction. In this thesis, using chloramphenicol acetyltransferase mRNA mutational analysis we have proposed that ε affects translation by base pairing to nucleotides 458–466 (ε binding site, εBS) on 16S rRNA. Further evidence in favour of ε-εBS interaction was obtained using a CAT expression system in Agrobacterium tumefaciens in which the corresponding εBS is significantly different from that in E. coli. Base pairing between ε and εBS was also supported by a combination of computational and experimental approaches. These studies indicated a mRNA functional base pairing of 6 or more nucleotides, to various parts of a 136 nucleotide long box (box17) on 16S rRNA. Box17 extends from nucleotides 418 to 554 on 16S rRNA and coincides with the proposed εBS. Finally, using an in vivo mRNA-protein interaction detection assay, the presence of a direct interaction between ribosomal S1 protein and ε sequence was rejected.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".