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Record W2885218058 · doi:10.1038/s41467-018-05702-7

Revealing the mechanism for covalent inhibition of glycoside hydrolases by carbasugars at an atomic level

2018· article· en· W2885218058 on OpenAlexafffund
Weiwu Ren, Robert Pengelly, Marco Farren‐Dai, Saeideh Shamsi Kazem Abadi, Verena Oehler, Oluwafemi Akintola, Jason Draper, Michael Meanwell, Saswati Chakladar, Katarzyna Świderek, Vicent Moliner, Robert Britton, T.M. Gloster, Andrew J. Bennet

Bibliographic record

VenueNature Communications · 2018
Typearticle
Languageen
FieldChemistry
TopicCarbohydrate Chemistry and Synthesis
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Glycomics NetworkUniversitat Jaume IMinisterio de Economía y CompetitividadWellcome TrustEuropean Synchrotron Radiation FacilityMichael Smith Health Research BCInternational Seafood Sustainability Foundation
KeywordsThermotoga maritimaCovalent bondGlycoside hydrolaseChemistryStereochemistryHydrolaseCyclohexeneActive siteEnzymeGlycosideSubstrate (aquarium)BiochemistryOrganic chemistryBiologyCatalysisEscherichia coli

Abstract

fetched live from OpenAlex

Abstract Mechanism-based glycoside hydrolase inhibitors are carbohydrate analogs that mimic the natural substrate’s structure. Their covalent bond formation with the glycoside hydrolase makes these compounds excellent tools for chemical biology and potential drug candidates. Here we report the synthesis of cyclohexene-based α-galactopyranoside mimics and the kinetic and structural characterization of their inhibitory activity toward an α-galactosidase from Thermotoga maritima ( Tm GalA). By solving the structures of several enzyme-bound species during mechanism-based covalent inhibition of Tm GalA, we show that the Michaelis complexes for intact inhibitor and product have half-chair ( 2 H 3 ) conformations for the cyclohexene fragment, while the covalently linked intermediate adopts a flattened half-chair ( 2 H 3 ) conformation. Hybrid QM/MM calculations confirm the structural and electronic properties of the enzyme-bound species and provide insight into key interactions in the enzyme-active site. These insights should stimulate the design of mechanism-based glycoside hydrolase inhibitors with tailored chemical properties.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.006
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.297
Teacher spread0.255 · 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 teacher head, 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

Citations44
Published2018
Admission routes2
Has abstractyes

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