Toward Understanding the Function of the Universally Conserved GTPase HflX from <i>Escherichia coli</i>: A Kinetic Approach
Bibliographic record
Abstract
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.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".