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Record W2020411521 · doi:10.1021/bc034083v

Effect of Limited Solid-State Glycation on the Conformation of Lysozyme by ESI-MSMS Peptide Mapping and Molecular Modeling

2004· article· en· W2020411521 on OpenAlexaff
Faustinus K. Yeboah, Inteaz Alli, Varoujan A. Yaylayan, Yasuo Konishi, Shafinaz F. Chowdhury, Enrico O. Purisima

Bibliographic record

VenueBioconjugate Chemistry · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsMcGill UniversityBiotechnology Research Institute
Fundersnot available
KeywordsChemistryLysozymeGlycationPeptideBiochemistryTrypsinGlycanChromatographyGlycosylationActive siteGlycoproteinEnzymeReceptor

Abstract

fetched live from OpenAlex

Although protein glycation has been implicated in the alteration of protein functionality, both in vivo (in biological systems) and in vitro (in food systems), the effect of the protein-bound glycan moiety on the structure/conformation of proteins that result in the modification of functionality is not clear. In this article, we report a study of the conformational changes of glycated lysozyme using LC-ESI-MSMS peptide mapping, and molecular modeling. A comparison of the RP-HPLC of the tryptic digests of unglycated and glycated lysozyme showed markedly different chromatographic profiles. Analysis of the peptide composition of the chromatographic fractions of the tryptic digests revealed that glycation of lysozyme resulted in the modification of its conformation. Glycation-induced changes in the conformation of lysozyme resulted in the exposure of its active site region to increased proteolytic activity of trypsin. Molecular simulation of triglycated lysozyme also showed that limited glycation of lysozyme caused reorientation of the active site residues (Arg 45, Arg 68, Asn 44, and Trp 62) and increased solvent accessibility into the active site region of the protein. The results of the modeling experiment corroborated the results of the RP-HPLC and ESI-MSMS peptide mapping.

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 score0.008
Threshold uncertainty score0.486

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 head0.010
GPT teacher head0.268
Teacher spread0.259 · 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

Citations48
Published2004
Admission routes1
Has abstractyes

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