Tyrosine 110 Plays a Critical Role in Regulating the Allosteric Inhibition of <i>Campylobacter jejuni</i> Dihydrodipicolinate Synthase by Lysine
Bibliographic record
Abstract
Dihydrodipicolinate synthase (DHDPS), an enzyme found in most bacteria and plants, controls a critical step in the biosynthesis of l-lysine and meso-diaminopimelate, necessary components for bacterial cell wall biosynthesis. DHDPS catalyzes the condensation of pyruvate and (S)-aspartate-β-semialdehyde, forming an unstable product that is dehydrated to dihydrodipicolinate. The tetrameric enzyme is allosterically inhibited by l-lysine, and a better understanding of the allosteric inhibition mechanism is necessary for the design of potent antibacterial therapeutics. Here we describe the high-resolution crystal structures of DHDPS from Campylobacter jejuni with and without its inhibitor bound to the allosteric sites. These structures reveal a role for Y110 in the regulation of the allosteric inhibition by lysine. Mutation of Y110 to phenylalanine results in insensitivity to lysine inhibition, although the mutant crystal structure reveals that lysine does bind in the allosteric site. Comparison of the lysine-bound Y110F structure with wild-type structures reveals that key structural changes due to lysine binding are absent in this mutant.
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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) | 0.001 | 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".