Dihydrodipicolinate Synthase from <i>Campylobacter jejuni</i>: Kinetic Mechanism of Cooperative Allosteric Inhibition and Inhibitor-Induced Substrate Cooperativity
Bibliographic record
Abstract
Dihydrodipicolinate synthase (DHDPS), an enzyme of the meso-diaminopimelate pathway of lysine biosynthesis, is essential for bacterial growth and is considered a target for novel antibiotics. We have studied DHDPS from Campylobacter jejuni for the first time, determining the kinetic mechanism of catalysis and inhibition with its natural allosteric feedback inhibitor (S)-lysine. The tetrameric enzyme is known to have two allosteric sites, each of which binds two molecules of lysine. The results suggest that lysine binds highly cooperatively, and primarily to the F form of the enzyme during the ping-pong mechanism. By applying graphical methods and nonlinear regression, we have discriminated between the possible kinetic models and determined the kinetic and inhibition constants and Hill coefficients. We conclude that (S)-lysine is an uncompetitive partial inhibitor with respect to its first substrate, pyruvate, and a mixed partial inhibitor with respect to its second substrate, (S)-aspartate-β-semialdehyde (ASA), which differs from the kinetic models for inhibition reported for DHDPS from other sources. The Hill coefficients for the binding of lysine to different forms of the enzyme are all greater than 2, suggesting that the two allosteric sites are not independent. It has been found that ASA binds cooperatively in the presence of (S)-lysine, and the cooperativity of binding increases at near-KM concentrations of pyruvate. The incorporation of Hill coefficients into the kinetic equations was crucial for determining the kinetic model for this 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".