ArticleChemistry (Weinheim an der Bergstrasse, Germany)2025
Acceptor-Adaptive Automated Glycosylation Optimization for Automated Glycan Assembly.
Article in Chemistry (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Total Synthesis of Conjugation-Ready Sulfated Red Algae Carrageenan Oligosaccharides for Sensing Applications.Journal of the American Chemical Society · 2026Article
- Tumor-associated Tn and STn antigens: from molecular mechanism to precision diagnosis and treatment.Frontiers in immunology · 2025Review
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Authors and funding
6 authors.
Funding
Abstract
Optimization of glycosylation temperatures is essential for automated solid-phase glycan assembly. Constructing a reliable optimization system that mimics key reaction components is crucial for increasing the atom economy and the energy efficiency of the process. Although glycosyl acceptors play a pivotal role in glycosylation, evaluating their effect on glycosylation efficiency (GE) is nontrivial. While screening various glycosyl acceptors for optimization is impractical, compromising for simple alkyl acceptors produces results of dubious relevance. We demonstrate that optimization with a modified trans-4-aminocyclohexanol-based acceptor accurately reflects the optimal glycosylation temperature of several glycosyl acceptors, overcoming previous limitations. The contextual use of both n-alkyl and glycan-mimetic acceptors for automated optimization enabled translation of optimized glycosylation temperature to highly efficient solid-phase synthesis (SPS) of disaccharides.
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Registered trials
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