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Record W1975958970 · doi:10.1021/bi901074h

Toward Understanding the Function of the Universally Conserved GTPase HflX from <i>Escherichia coli</i>: A Kinetic Approach

2009· article· en· W1975958970 on OpenAlexafffund
Michael J. Shields, Jeffrey J. Fischer, Hans‐Joachim Wieden

Bibliographic record

VenueBiochemistry · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of Lethbridge
FundersCanadian Institutes of Health Research
KeywordsGTPaseRibosomeBiologyGTP'Biochemistry50SNucleotideCell biologyEnzymeRNAGene

Abstract

fetched live from OpenAlex

Protein synthesis is a highly conserved process in all living cells involving several members of the translation factor (TRAFAC) class of P-loop GTPases, which play essential roles during translation. The universally conserved GTPase HflX has previously been shown to associate with the 50S ribosomal subunit, as well as to bind and hydrolyze both GTP and ATP. In an effort to elucidate the cellular function of HflX, we have determined the kinetic parameters governing the interaction between HflX and these two purine nucleotides using fluorescence-based steady-state and pre-steady-state techniques. On the basis of these, we demonstrate that the GTPase and ATPase activity of HflX is stimulated by 50S and 70S ribosomal particles. However, given cellular concentrations of the two purine nucleotides, approximately 80% of HflX will be bound to guanine nucleotides, indicating that HflX may function as a guanine nucleotide dependent enzyme in vivo. Using a highly purified reconstituted in vitro translation system, we show that the GTPase activity of HflX is also stimulated by poly(U) programmed 70S ribosomes and that the ribosome-dependent GTPase stimulation is specifically inhibited by the antibiotic chloramphenicol, which binds to the large ribosomal subunit, but not by kanamycin, an aminoglycoside targeting the small ribosomal subunit.

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 score0.024
Threshold uncertainty score0.463

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 head0.024
GPT teacher head0.205
Teacher spread0.181 · 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

Citations34
Published2009
Admission routes2
Has abstractyes

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