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Record W2055592341 · doi:10.1021/jo800457j

Synthesis of Galactofuranose-Containing Acceptor Substrates for Mycobacterial Galactofuranosyltransferases

2008· article· en· W2055592341 on OpenAlexaff
Gladys C. Completo, Todd L. Lowary

Bibliographic record

VenueThe Journal of Organic Chemistry · 2008
Typearticle
Languageen
FieldChemistry
TopicCarbohydrate Chemistry and Synthesis
Canadian institutionsAlberta Glycomics CentreUniversity of Alberta
Fundersnot available
KeywordsChemistryGalactanDisaccharideGlycoconjugateStereochemistryRhamnoseOligosaccharideBifunctionalTransketolaseGlycosyl donorCombinatorial chemistryGalactoseGlycosylBiochemistryEnzyme

Abstract

fetched live from OpenAlex

The major structural component of the cell wall in Mycobacterium tuberculosis, infection by which causes tuberculosis, is the mycolyl-arabinogalactan (mAG) complex. This large glycoconjugates has at its core a backbone of approximately 30 D-galactofuranose (Gal(f)) residues that are linked to peptidoglycan by way of a linker disaccharide containing L-rhamnose and 2-acetamido-2-deoxy-D-glucose. Recent studies have supported a model of galactan biosynthesis in which the entire structure is assembled by the action of two bifunctional galactofuranosyltransferases. These biochemical investigations were made possible, in part, by access to a panel of oligosaccharide fragments of the mAG complex (1-12), the synthesis of which we describe here. An early key finding in this study was that the iodine-promoted cyclization of galactose diethyl dithioacetal (19) in the presence of an alcohol solvent led to the formation Gal(f) glycosides contaminated with no pyranoside isomer, thus allowing the efficient preparation of furanoside derivatives of this monosaccharide. The synthesis of disaccharide targets 1, 2, 11 and 12 proceeded without difficulty through the use of thioglycoside donors and octyl glycoside acceptors, both carrying benzoyl protection. In the synthesis of the tri- and tetrasaccharides 3-6, we explored routes in which the molecule was assembled from the reducing to nonreducing end, and the reverse. The latter approach was found to be preferable for the preparation of 6, and in the case of 3 and 4, this strategy allowed the development of efficient one-pot methods for their synthesis. We have also carried out the first synthesis of three mAG fragments (8-10) consisting of the linker disaccharide further elaborated with one, two or three Gal(f) residues. A key step in the synthesis of these target compounds was the coupling of a protected linker disaccharide derivative (58) with a mono-, di-, or trigalactofuranosyl thioglycoside (17, 54, or 53, respectively).

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 score0.003

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 integrity0.0000.001
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 head0.018
GPT teacher head0.219
Teacher spread0.201 · 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

Citations86
Published2008
Admission routes1
Has abstractyes

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