Brønsted Analysis of an Enzyme-Catalyzed Pseudo-Deglycosylation Reaction: Mechanism of Desialylation in Sialidases
Bibliographic record
Abstract
The Micromonospora viridifaciens Y370G inverting mutant sialidase has been found to possess beta-sialidase activity with various fluoro-substituted phenyl beta-sialosides. A reagent panel of seven mono- and difluorophenyl beta-d-sialosides was synthesized, and these compounds were used, in conjunction with the parent phenyl beta-d-sialoside, to probe the mechanism of M. viridifaciens Y370G mutant sialidase-catalyzed hydrolyses. These hydrolysis reactions mimic the deglycosylation reaction step of the crucial tyrosinyl enzyme-bound intermediate that is formed during the corresponding wild-type sialidase reactions. The derived Brønsted parameter (beta(lg)) on k(cat)/K(m) is -0.46 +/- 0.02 for the four substrates that display significant activity, and these span a range of leaving group abilities (as judged by the pK(a) of their conjugate acids being between 7.09 and 9.87). The 4-fluoro, 2,3- and 2,5-difluorosubstrates display a diminished activity, whereas the 3,5-difluoro compound undergoes catalyzed hydrolysis exceedingly slowly. These observations, taken with solvent deuterium kinetic isotope effects (k(H(2))(O)/k(D(2))(O)) on the catalyzed hydrolysis of the 2-fluorophenyl substrate of 0.88 +/- 0.24 (k(cat)/K(m)) and 1.16 +/- 0.12 (k(cat)) and the poor inhibition shown by phenol (IC(50) > 1 mM), are consistent with glycosidic C-O cleavage being rate determining for both k(cat)/K(m) and k(cat) with little or no protonation of the departing aryloxide leaving group. The kinetic data reported herein are consistent with rate-limiting glycoside hydrolysis occurring via two distinct transition states that incorporates a nonproductive binding component for the tighter binding substrates.
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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 | 0.000 |
| 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 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".