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Inhibition of Glycosyltransferase Activities as the Basis for Drug Development

2008· review· en· W157002806 on OpenAlexafffund
John S. Schutzbach, Inka Brockhausen

Bibliographic record

VenueHumana Press eBooks · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGlycosyltransferaseDrugDrug developmentPharmacologyChemistryBiologyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Glycosyltransferases are involved in the biosynthesis of protein-bound glycan chains that have multiple and important biological functions in all species. In this protocol, we describe methods to assess the inhibition of glycosyltransferase activities. The kinetic mechanisms of the enzymes, information from structural studies and preliminary inhibition studies can aid in designing appropriate inhibitors. The inhibition of beta4-Gal-transferase can be studied with GlcNAc derivatives that act as alternative acceptor substrate analogs and are expected to dock in the acceptor binding site of the enzyme. The inhibition of core 2 beta6-GlcNAc-transferase can be studied with compounds that may compete with binding of the acceptor or glycosyl-donor substrate. Another example is the use of a class of amino acid specific reagents as inhibitors that help to obtain information about amino acid residues at or near the active site of dolichol-phosphate-mannose synthase or those involved in the enzyme mechanism. These inhibitors can be useful for studies of glycan functions, and have potential as therapeutic drugs for a number of diseases involving glycosylation.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.079
GPT teacher head0.340
Teacher spread0.261 · 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 designOther design
Domainnot available
GenreReview

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

Citations11
Published2008
Admission routes2
Has abstractyes

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