Pyruvate kinase from<i>Chlamydia trachomatis</i>is activated by fructose‐2,6‐bisphosphate
Bibliographic record
Abstract
Pyruvate kinase is the final regulatory point in the catabolic Embden-Meyerhoff-Parnas pathway, which controls the carbon flux of glycolytic intermediates and regulates the level of ATP in the cell. In a previous study, we identified, cloned and sequenced pyruvate kinase from the obligate intracellular bacterium Chlamydia trachomatis and demonstrated that the enzyme was active in crude extract. Here, we report the kinetic properties of highly purified C. trachomatis pyruvate kinase. The results indicate that C. trachomatis pyruvate kinase is 53.5 kDa with a pH optima of 7.3. Kinetic studies show that C. trachomatis pyruvate kinase requires both K+ and Mg2+ ions for activity, exhibits sigmoidal kinetics with respect to phosphoenolpyruvate and Michaelis-Menten kinetics with respect to ADP. In addition, C. trachomatis pyruvate kinase is able to use alternative nucleoside diphosphates as phosphate acceptors, although it shows the greatest activity with ADP. In contrast to other bacterial pyruvate kinases that are activated by AMP, our data show that AMP, in addition to ATP and GTP, inhibits C. trachomatis pyruvate kinase. Surprisingly, unlike any other known bacterial pyruvate kinase, C. trachomatis pyruvate kinase was allosterically activated by fructose-2,6-bisphosphate, an important regulatory metabolite that has only been reported in eukaryotes.
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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) | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".