Structural Insights into Regulation of Quinate Degradation in Bacteria
Bibliographic record
Abstract
The shikimate pathway is an essential metabolic pathway in bacteria, as well as plants and fungi, which ultimately leads to the synthesis of three aromatic amino acids among other important aromatic compounds. The fourth step in the pathway is the reduction of dehydroshikimate to shikimate, catalyzed by shikimate dehydrogenase (SDH/AroE). In addition to AroE, at least four functionally distinct SDH homologs exist in bacteria. The structure and catalytic residues of the SDH enzyme family are highly conserved, however the key residues for substrate binding vary among the different homologs. Together, these data suggest that the catalytic mechanism is maintained among homologs, yet each may bind a different substrate. The YdiB homolog catalyzes the first step in the quinate degradation pathway, which is a branch of the shikimate pathway. In various species, the operons containing the ydiB gene are predicted to be controlled by one of two different transcriptional regulators belonging to either the TetR or LysR family. In both cases, these regulators are predicted to be activated or repressed by intermediates of the quinate degradation pathway. We will be using structural biology to determine how these regulators recognize pathway intermediates, and to understand the structural basis of how two distinct regulators can control transcription of the equivalent operon in different species.
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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) | 0.001 | 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) | 0.002 | 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".