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Record W3014085414 · doi:10.1021/acs.biomac.0c00212

Enzymatic Conversion of Galactose Polymers into Copolymers Containing Galactonic Acid by Glucose Oxidase

2020· article· en· W3014085414 on OpenAlexafffund
Zhiyuan Ma, Alexander J. Cunningham, X. X. Zhu

Bibliographic record

VenueBiomacromolecules · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship CouncilFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsChemistryGlucose oxidaseEthylene glycolPEG ratioCopolymerPolymer chemistryGalactoseCarbohydrateSubstrate (aquarium)Organic chemistryEnzymePolymerGalactose oxidaseBiochemistry

Abstract

fetched live from OpenAlex

Sugar oxidase can oxidize a carbohydrate substrate into an acid, but there have been no reports on the successful enzymatic conversion of glycopolymers containing carbohydrate pendants. We introduced a poly(ethylene glycol) (PEG) spacer between the carbohydrate and the methacrylic units, and glucose oxidase (GOx) showed enzymatic activity when the PEG spacer is sufficiently long, converting the galactose pendant into galactonic acid and yielding a copolymer. The glycopolymers with a PEG spacer showed stronger binding to the sugar-specific lectin than those without the spacer, while the binding was gradually weakened as the sugar pendants were converted to acid groups. To the best of our knowledge, this is the first example to use a hydrophilic PEG spacer to enzymatically convert a substrate attached on a polymer chain. The enzymatic conversion of such glycopolymers represents a useful green chemistry approach to obtain copolymers based on carbohydrates.

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 score0.010
Threshold uncertainty score0.961

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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

Citations3
Published2020
Admission routes2
Has abstractyes

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