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The quaternary structure of RNase G from <i> Escherichia coli</i>

2003· article· en· W1932689050 on OpenAlexafffund
Douglas J. Briant, Janet S. Hankins, Michael A. Cook, George A. Mackie

Bibliographic record

VenueMolecular Microbiology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchUniversity of Victoria
KeywordsRNase PEndoribonucleaseRNase PHRNase MRPBiologyProtein quaternary structureBiochemistrySerineCysteineProtein subunitEscherichia coliMolecular biologyEnzymeGeneRNA

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.197
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations31
Published2003
Admission routes2
Has abstractyes

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