Utilization of positional isotope exchange experiments to evaluate reversibility of ATP hydrolysis catalyzed by <i>Escherichia coli</i> Lon proteaseThis paper is one of a selection of papers published in this special issue entitled 8th International Conference on AAA Proteins and has undergone the Journal's usual peer review process.
Bibliographic record
Abstract
Lon protease, also known as protease La, is an ATP-dependent serine protease. Despite the presence of a proteolytic Ser-Lys dyad, the enzyme only catalyzes protein degradation in the presence of ATP. Lon possesses an intrinsic ATPase activity that is stimulated by protein and certain peptide substrates. Through sequence alignment and analysis, it is concluded that Lon belongs to the AAA+ protein family. Previous kinetic characterization of the ATPase domain of Escherichia coli Lon protease implicates a half-site reactivity model in which only 50% of the ATP bound to Lon are hydrolyzed to yield ADP; the remaining ATPase sites remain bound with ATP and are considered non-catalytic. In this model, it is implied that ATP hydrolysis is irreversible. To further evaluate the proposed half-site reactivity model, the reversibility of the ATPase activity of E. coli Lon was evaluated by positional isotope exchange experiments. The ATPase reactions were conducted in the 18O-enriched buffer such that the extent of 18O incorporation into inorganic phosphate generated from ATP hydrolysis could be used to evaluate the extent of reversibility in ATP hydrolysis. Collectively, our experimental data reveal that the ATPase reaction catalyzed by E. coli Lon in the presence and absence of peptide substrate that stimulated the enzyme's ATPase activity is irreversible. Therefore, the half-site ATPase reactivity of E. coli Lon is validated, and can be used to account for the kinetic mechanism of the ATP-dependent peptidase activity of the enzyme.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".