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Record W2335158018 · doi:10.1002/1873-3468.12143

Glucosyl epi‐cyclophellitol allows mechanism‐based inactivation and structural analysis of human pancreatic α‐amylase

2016· letter· en· W2335158018 on OpenAlexafffund
S. Caner, Xiao‐Hua Zhang, Jianbing Jiang, Hongming Chen, Nham T. Nguyen, Herman S. Overkleeft, Gary D. Brayer, Stephen G. Withers

Bibliographic record

VenueFEBS Letters · 2016
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsUniversity of British Columbia
FundersNational Institute of General Medical SciencesNational Institutes of HealthEuropean Research CouncilCanadian Institutes of Health ResearchChina Scholarship CouncilU.S. Department of Energy
KeywordsAmylaseMechanism (biology)ChemistryBiochemistryComputational biologyBiophysicsEnzymeBiologyPhysics

Abstract

fetched live from OpenAlex

As part of a search for selective, mechanism-based covalent inhibitors of human pancreatic α-amylase we describe the chemoenzymatic synthesis of the disaccharide analog α-glucosyl epi-cyclophellitol, demonstrate its stoichiometric reaction with human pancreatic α-amylase and evaluate the time dependence of its inhibition. X-ray crystallographic analysis of the covalent derivative so formed confirms its reaction at the active site with formation of a covalent bond to the catalytic nucleophile D197. The structure illuminates the interactions with the active site and confirms OH4' on the nonreducing end sugar as a good site for attachment of fluorescent tags in generating probes for localization and quantitation of amylase in vivo.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.234
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), 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

Citations21
Published2016
Admission routes2
Has abstractyes

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