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Record W3199922039 · doi:10.1002/anie.202111549

Synthesis of a Tridecasaccharide Lipooligosaccharide Antigen from the Opportunistic Pathogen <i>Mycobacterium kansasii</i>

2021· article· en· W3199922039 on OpenAlexafffund
Ke Shen, Bing Bai, Yu‐Hsuan Liu, Todd L. Lowary

Bibliographic record

VenueAngewandte Chemie International Edition · 2021
Typearticle
Languageen
FieldChemistry
TopicCarbohydrate Chemistry and Synthesis
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchBill and Melinda Gates Foundation
KeywordsGlycanMycobacterium kansasiiPathogenMycobacterium tuberculosisMicrobiologyGlycosidic bondBiologyLipoarabinomannanMycobacteriumHuman pathogenPathogenic organismGlycosylationTuberculosisGlycoproteinBiochemistryBacteriaMedicineGenetics

Abstract

fetched live from OpenAlex

The outer surfaces of mycobacteria, including the organism that causes tuberculosis, are decorated with an array of immunomodulatory glycans. Among these are lipooligosaccharides (LOSs), a class of molecules for which the function remains poorly understood. We describe the chemical synthesis of the glycan portion of a tridecasaccharide LOS from the opportunistic pathogen Mycobacterium kansasii. The target contains a number of unusual structural motifs that complicate its assembly and is the most complex mycobacterial LOS glycan to be synthesized to date when considering size and number of unique monosaccharides and glycosidic linkages. These studies not only provide a roadmap for the preparation of additional members of this family of glycans, but also provides a valuable probe for use in structure-activity relationship investigations.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.074
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.020
GPT teacher head0.236
Teacher spread0.216 · 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
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

Citations7
Published2021
Admission routes2
Has abstractyes

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