Crystal Structure of a Novel Shikimate Dehydrogenase from Haemophilus influenzae
Bibliographic record
Abstract
To date two classes of shikimate dehydrogenases have been identified and characterized, YdiB and AroE. YdiB is a bifunctional enzyme that catalyzes the reversible reductions of dehydroquinate to quinate and dehydroshikimate to shikimate in the presence of either NADH or NADPH. In contrast, AroE catalyzes the reversible reduction of dehydroshikimate to shikimate in the presence of NADPH. Here we report the crystal structure and biochemical characterization of HI0607, a novel class of shikimate dehydrogenase annotated as shikimate dehydrogenase-like. The kinetic properties of HI0607 are remarkably different from those of AroE and YdiB. In comparison with YdiB, HI0607 catalyzes the oxidation of shikimate but not quinate. The turnover rate for the oxidation of shikimate is approximately 1000-fold lower compared with that of AroE. Phylogenetic analysis reveals three independent clusters representing three classes of shikimate dehydrogenases, namely AroE, YdiB, and this newly characterized shikimate dehydrogenase-like protein. In addition, mutagenesis studies of two invariant residues, Asp-103 and Lys-67, indicate that they are important catalytic groups that may function as a catalytic pair in the shikimate dehydrogenase reaction. This is the first study that describes the crystal structure as well as mutagenesis and mechanistic analysis of this new class of shikimate dehydrogenase.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".