Structural, Thermodynamic, and Kinetic Analyses of Tetrahydrooxazine-derived Inhibitors Bound to β-Glucosidases
Bibliographic record
Abstract
The understanding of transition state mimicry in glycoside hydrolysis is increasingly important both in the quest for novel specific therapeutic agents and for the deduction of enzyme function and mechanism. To aid comprehension, inhibitors can be characterized through kinetic, thermodynamic, and structural dissection to build an "inhibition profile." Here we dissect the binding of a tetrahydrooxazine inhibitor and its derivatives, which display Ki values around 500 nm. X-ray structures with both a beta-glucosidase, at 2 A resolution, and an endoglucanase at atomic (approximately 1 A) resolution reveal similar interactions between the tetrahydrooxazine inhibitor and both enzymes. Kinetic analyses reveal the pH dependence of kcat/Km and 1/Ki with both enzyme systems, and isothermal titration calorimetry unveils the enthalpic and entropic contributions to beta-glucosidase inhibition. The pH dependence of enzyme activity mirrored that of 1/Ki in both enzymes, unlike the cases of isofagomine and 1-deoxynojirimycin that have been characterized previously. Calorimetric dissection reveals a large favorable enthalpy that is partially offset by an unfavorable entropy upon binding. In terms of the similar profile for the pH dependence of 1/Ki and the pH dependence of kcat/Km, the significant enthalpy of binding when compared with other glycosidase inhibitors, and the tight binding at the optimal pH of the enzymes tested, tetrahydrooxazine and its derivatives are a significantly better class of glycosidase inhibitor than previously assumed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".