Glycosyltransferases as versatile tools to study the biology of glycans

JM Kofsky, JL Babulic, ME Boddington… - …, 2023 - academic.oup.com
All cells are decorated with complex carbohydrate structures called glycans that serve as
ligands for glycan-binding proteins (GBPs) to mediate a wide range of biological processes …

Recent advances in enzymatic and chemoenzymatic synthesis of N-and O-glycans

ZF Hu, K Zhong, H Cao - Current Opinion in Chemical Biology, 2024 - Elsevier
Glycosylation is one of the most common post-translational modifications of proteins, which
plays essential roles in regulating the biological functions of proteins. Efficient and versatile …

Modular Synthesis of a Tridecasaccharide Motif of Bacteroides vulgatus Lipopolysaccharides against Inflammatory Bowel Diseases through an Orthogonal One‐Pot …

Y Zhang, L Wang, Q Zhou, Z Li, D Li… - Angewandte Chemie …, 2023 - Wiley Online Library
Lipopolysaccharides from Bacteroides vulgatus represent interesting targets for the
treatment of inflammatory bowel diseases. However, efficient access to long, branched and …

Divergent Enzymatic Assembly of a Comprehensive 64‐Membered IgG N‐Glycan Library for Functional Glycomics

W Ma, Z Xu, Y Jiang, J Liu, D Xu, W Huang… - Advanced …, 2023 - Wiley Online Library
N‐Glycosylation, a main post‐translational modification of Immunoglobulin G (IgG), plays a
significant role in modulating the immune functions of IgG. However, the precise function …

Enzymatic modular synthesis of asymmetrically branched human milk oligosaccharides

Y Li, Y Li, Y Guo, C Chen, L Yang, Q Jiang, P Ling… - Carbohydrate …, 2024 - Elsevier
Human milk oligosaccharides (HMOs) are intricate glycans that promote healthy growth of
infants and have been incorporated into infant formula as food additives. Despite their …

\texttt {GlycoNMR}: Dataset and benchmarks for NMR chemical shift prediction of carbohydrates with graph neural networks

Z Chen, RP Badman, L Foley, R Woods… - arXiv preprint arXiv …, 2023 - arxiv.org
Molecular representation learning (MRL) is a powerful tool for bridging the gap between
machine learning and chemical sciences, as it converts molecules into numerical …

A Synthetic Approach for Hepta-Branched β-Cyclodextrins Bearing Heterogeneous Carbohydrate Residues at Their Primary Side via a One-Pot Process with a …

Y Oda, T Yamanoi - Synlett, 2023 - thieme-connect.com
In this study, a synthetic approach is reported for generating hepta-branched β-cyclodextrins
(CDs) bearing heterogeneous carbohydrate residues at their primary side via a one-pot …

GlycoNMR: A Carbohydrate-Specific NMR Chemical Shift Dataset for Machine Learning Research

Z Chen, RP Badman, BL Foley, RJ Woods, P Hong - openreview.net
Molecular representation learning (MRL) is a powerful contribution by machine learning to
chemistry as it converts molecules into numerical representations, which serves as …