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Record W2154356619 · doi:10.1179/096805103225001440

Molecular insights into the assembly and diversity of the outer core oligosaccharide in lipopolysaccharides from <I>Escherichia coli</I> and <I>Salmonella</I>

2003· review· en· W2154356619 on OpenAlexafffund
Chris Whitfield, Natalia A. Kaniuk, Emilisa Frirdich

Bibliographic record

VenueJournal of Endotoxin Research · 2003
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsUniversity of Guelph
FundersCanada Research Chairs
KeywordsOligosaccharideEscherichia coliBacterial outer membraneBiologyEnterobacteriaceaeLipid AComputational biologyEpitopeGeneInner coreImmunochemistryLocus (genetics)SalmonellaGeneticsCore (optical fiber)BiochemistryAntigenBacteriaAntibody

Abstract

fetched live from OpenAlex

In the Enterobacteriaceae, the core oligosaccharide provides the junction between the highly conserved lipid A and the remarkably diverse polysaccharide O antigen. The basic structure of the inner (lipid A-proximal) core is well conserved, perhaps reflecting constraints imposed by its involvement in the structural integrity of the outer membrane. However, non-stoichiometric modifications do create some structural variants. The outer core may show more variation. Efforts to develop immunoprophylactic strategies based on the core oligosaccharide require a detailed understanding of core immunochemistry, the accessibility of specific epitopes in the LPS, and the distribution of specific structures within natural populations. The availability of sequences for the waa (core biosynthesis) loci and functional data for the gene products provide a molecular basis for the known structural diversity in Escherichia coli and Salmonella core oligosaccharide. Surveys of waa-locus organization have established the distribution of these core types in natural populations and have identified genetic variants that provide candidates for additional novel structures.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.005
Research integrity0.0010.002
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 head0.051
GPT teacher head0.335
Teacher spread0.285 · 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.

Study designBench or experimental
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

Citations44
Published2003
Admission routes2
Has abstractyes

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