Probing the Transition States of Four Glucoside Hydrolyses with <sup>13</sup>C Kinetic Isotope Effects Measured at Natural Abundance by NMR Spectroscopy
Bibliographic record
Abstract
Kinetic isotope effects (KIEs) were measured for methyl glucoside (4) hydrolysis on unlabeled material by NMR. Twenty-eight (13)C KIEs were measured on the acid-catalyzed hydrolysis of alpha-4 and beta-4, as well as enzymatic hydrolyses with yeast alpha-glucosidase and almond beta-glucosidase. The 1-(13)C KIEs on the acid-catalyzed reactions of alpha-4 and beta-4, 1.007(2) and 1.010(6), respectively, were in excellent agreement with the previously reported values (1.007(1), 1.011(2): Bennet and Sinnott, J. Am. Chem. Soc. 1986, 108, 7287). Transition state analysis of the acid-catalyzed reactions using the (13)C KIEs, along with the previously reported (2)H KIEs, confirmed that both reactions proceed with a stepwise D(N)A(N) mechanism and showed that the glucosyl oxocarbenium ion intermediate exists in an E(3) sofa or (4)H(3) half-chair conformation. (13)C KIEs showed that the alpha-glucosidase reaction also proceeded through a D(N)*A(N) mechanism, with a 1-(13)C KIE of 1.010(4). The secondary (13)C KIEs showed evidence of distortions in the glucosyl ring at the transition state. For the beta-glucosidase-catalyzed reaction, the 1-(13)C KIE of 1.032(1) demonstrated a concerted A(N)D(N) mechanism. The pattern of secondary (13)C KIEs was similar to the acid-catalyzed reaction, showing no signs of distortion. KIE measurement at natural abundance makes it possible to determine KIEs much more quickly than previously, both by increasing the speed of KIE measurement and by obviating the need for synthesis of isotopically labeled compounds.
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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 | 0.001 |
| 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) | 0.002 | 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".