The quaternary structure of RNase G from <i> Escherichia coli</i>
Bibliographic record
Abstract
RNase G is the endoribonuclease responsible for forming the mature 5' end of 16S rRNA. This enzyme shares 35% identity with and 50% similarity to the N-terminal 470 amino acids encompassing the catalytic domain of RNase E, the major endonuclease in Escherichia coli. In this study, we developed non-denaturing purifications for overexpressed RNase G. Using mass spectrometry and N-terminal sequencing, we unambiguously identified the N-terminal sequence of the protein and found that translation is initiated at the second of two potential start sites. Using velocity sedimentation and oxidative cross-linking, we determined that RNase G exists largely as a dimer in equilibrium with monomers and higher multimers. Moreover, dimerization is required for activity. Four of the six cysteine residues of RNase G were mutated to serine. No single cysteine to serine mutation resulted in a complete loss of cross-linking, dimerization or activity. However, multiple mutations in a highly conserved cluster of cysteines, including C405 and C408, resulted in a partial loss of activity and a shift in the distribution of RNase G multimers towards monomers. We propose that many of the cysteines in RNase G lie on its surface and define, in part, the subunit-subunit interface.
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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) | 0.000 | 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".