Structures of Shikimate Dehydrogenase AroE and Its Paralog YdiB
Bibliographic record
Abstract
Shikimate dehydrogenase catalyzes the fourth step of the shikimate pathway, the essential route for the biosynthesis of aromatic compounds in plants and microorganisms. Absent in metazoans, this pathway is an attractive target for nontoxic herbicides and drugs. Escherichia coli expresses two shikimate dehydrogenase paralogs, the NADP-specific AroE and a putative enzyme YdiB. Here we characterize YdiB as a dual specificity quinate/shikimate dehydrogenase that utilizes either NAD or NADP as a cofactor. Structures of AroE and YdiB with bound cofactors were determined at 1.5 and 2.5 A resolution, respectively. Both enzymes display a similar architecture with two alpha/beta domains separated by a wide cleft. Comparison of their dinucleotide-binding domains reveals the molecular basis for cofactor specificity. Independent molecules display conformational flexibility suggesting that a switch between open and closed conformations occurs upon substrate binding. Sequence analysis and structural comparison led us to propose the catalytic machinery and a model for 3-dehydroshikimate recognition. Furthermore, we discuss the evolutionary and metabolic implications of the presence of two shikimate dehydrogenases in E. coli and other organisms.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".