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Record W2018746500 · doi:10.1021/bi0607507

Mechanistic Requirements for the Efficient Enzyme-Catalyzed Hydrolysis of Thiosialosides

2006· article· en· W2018746500 on OpenAlexaff
Arun A. Narine, Jacqueline N. Watson, Andrew J. Bennet

Bibliographic record

VenueBiochemistry · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEnzyme kineticsChemistryThio-StereochemistryArylHydrolysisLeaving groupEnzymeCatalysisMedicinal chemistryActive siteOrganic chemistry

Abstract

fetched live from OpenAlex

The sialidase from Micromonospora viridifaciens has been found to catalyze the hydrolysis of aryl 2-thio-alpha-D-sialosides with remarkable efficiency: the first- and second-order rate constants, kcat and kcat/Km, for the enzyme-catalyzed hydrolysis of PNP-S-NeuAc are 196 +/- 5 s(-1) and (6.7 +/- 0.7) x 10(5) M(-1) s(-1), respectively. A reagent panel of eight aryl 2-thio-alpha-D-sialosides was synthesized and used to probe the mechanism for the M. viridifaciens sialidase-catalyzed hydrolysis reaction. In the case of the wild-type enzyme, the derived Brønsted parameters (beta(lg)) on kcat and kcat/Km are -0.83 +/- 0.11 and -1.27 +/- 0.17 for substrates with thiophenoxide leaving groups of pKa values > or = 4.5. For the general-acid mutant, D92G, the derived beta(lg) value on kcat for the same set of leaving groups is -0.82 +/- 0.12. When the conjugate acid of the departing thiophenol was < or = 4.5, the derived Brønsted slopes for both the wild-type and the D92G mutant sialidase were close to zero. In contrast, the nucleophilic mutant, Y370G, did not display a similar break in the Brønsted plots, and the corresponding values for beta(lg), for the three most reactive aryl 2-thiosialosides, on kcat and kcat/Km are -0.76 +/- 0.28 and -0.84 +/- 0.04, respectively. Thus, for the Y370G enzyme glycosidic C-S bond cleavage is rate-determining for both kcat and kcat/Km, whereas, for both the wild-type and D92G mutant enzymes, the presented data are consistent with a change in rate-determining step from glycosidic C-S bond cleavage for substrates in which the pKa of the conjugate acid of the leaving group is > or = 4.5, to either deglycosylation (kcat) or a conformational change that occurs prior to C-S bond cleavage (kcat/Km) for the most activated leaving groups. Thus, the enzyme-catalyzed hydrolysis of 2-thiosialosides is strongly catalyzed by the nucleophilic tyrosine residue, yet the C-S bond cleavage does not require the conserved aspartic acid residue (D92) to act as a general-acid catalyst.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.010
GPT teacher head0.237
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2006
Admission routes1
Has abstractyes

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