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Record W2582518578 · doi:10.1073/pnas.1613609114

Single polysaccharide assembly protein that integrates polymerization, termination, and chain-length quality control

2017· article· en· W2582518578 on OpenAlexafffund
Danielle M. Williams, Olga G. Ovchinnikova, Akihiko Koizumi, Iain L. Mainprize, Matthew S. Kimber, Todd L. Lowary, Chris Whitfield

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsAlberta Glycomics CentreUniversity of AlbertaUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsGlycanBiochemistryGlycosyltransferaseGlycoconjugatePolymeraseATP-binding cassette transporterOperonPolysaccharideBacterial outer membraneBiosynthesisBiologyTransferaseChemistryTransporterEnzymeGeneGlycoproteinEscherichia coli

Abstract

fetched live from OpenAlex

Significance Glycosyltransferase enzymes synthesize complex sugar-containing macromolecules that play pivotal roles in the biology of all cells. Bacteria produce a vast range of glycoconjugate structures that frequently dictate host–pathogen interactions. The composition and chain length of bacterial glycans are both important for biological function, yet the mechanisms for chain-length determination are generally poorly understood. Here, we describe a remarkable family of proteins in which each member contains multiple glycosyltransferase modules (often representing new glycosyltransferase families) for glycan polymerization and chain termination. The polymerase and terminator activities are separated by a molecular ruler that establishes product length. The modularity of these proteins provides an adaptable platform for generating antigenic diversity in nature and potential new strategies for glycoengineering.

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 score0.005

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.038
GPT teacher head0.311
Teacher spread0.273 · 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

Citations35
Published2017
Admission routes2
Has abstractyes

Explore more

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