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Record W2312535998 · doi:10.1021/bc100209r

Conjugation of Synthetic <i>N</i>-Acetyl-Lactosamine to Azide-Containing Proteins Using the Staudinger Ligation

2010· article· en· W2312535998 on OpenAlexafffund
Ravi S. Loka, Christopher M. Sadek, Nikolas A. Romaniuk, Christopher W. Cairo

Bibliographic record

VenueBioconjugate Chemistry · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsAlberta Glycomics CentreUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Glycomics Centre
KeywordsChemistryGlycanEpitopeGlycoconjugateGlycoproteinAzideBiochemistryStaudinger reactionCombinatorial chemistryStereochemistryAntigenOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Generation of defined glycoconjugates is necessary for the study of glycoprotein function, as well as the development of therapeutics. The biosynthesis of glycoproteins produces multiple glycoforms, proteins which differ only in the structure of the attached glycan. This inherent heterogeneity complicates the study of isolated glycans and, in particular, could obscure the role of individual glycan epitopes in biological function. We present a general strategy based on the Staudinger ligation to introduce specific glycan epitopes onto azide-containing proteins. The use of a phosphane-based Staudinger reagent allows for extremely mild reaction conditions which can be applied to aqueous proteins or cells. We demonstrate that multiple carbohydrate epitopes can be incorporated onto a protein backbone, and that the resulting glycans are competent for recognition by lectins. We propose that this general strategy will allow for testing the role of specific glycan epitopes in cellular and biochemical assays and increasing the stability of protein conjugates.

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 score0.009
Threshold uncertainty score0.666

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 head0.017
GPT teacher head0.285
Teacher spread0.268 · 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

Citations25
Published2010
Admission routes2
Has abstractyes

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