Mechanistic Analysis of Trehalose Synthase from Mycobacterium smegmatis
Bibliographic record
Abstract
Trehalose synthase (TreS) catalyzes the reversible interconversion of maltose and trehalose and has been shown recently to function primarily in the mobilization of trehalose as a glycogen precursor. Consequently, the mechanism of this intriguing isomerase is of both academic and potential pharmacological interest. TreS catalyzes the hydrolytic cleavage of α-aryl glucosides as well as α-glucosyl fluoride, thereby allowing facile, continuous assays. Reaction of TreS with 5-fluoroglycosyl fluorides results in the trapping of a covalent glycosyl-enzyme intermediate consistent with TreS being a member of the retaining glycoside hydrolase family 13 enzyme family, thus likely following a two-step, double displacement mechanism. This trapped intermediate was subjected to protease digestion followed by LC-MS/MS analysis, and Asp(230) was thereby identified as the catalytic nucleophile. The isomerization reaction was shown to be an intramolecular process by demonstration of the inability of TreS to incorporate isotope-labeled exogenous glucose into maltose or trehalose consistent with previous studies on other TreS enzymes. The absence of a secondary deuterium kinetic isotope effect and the general independence of k(cat) upon leaving group ability both point to a rate-determining conformational change, likely the opening and closing of the enzyme active site.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".