The technological advances of the past century, marked by the computer revolution and the
advent of high-throughput screening technologies in drug discovery, opened the path to the …

Artificial intelligence (AI) methods have been and are now being increasingly integrated in
prediction software implemented in bioinformatics and its glycoscience branch known as …

Highlights•Recent advancements in glycoinformatics tools to support analysis of glycan and
glycopeptide data sets are summarised.•Review summarises the growth of machine …

Glycans serve important roles in signaling events and cell-cell communication, and they are
recognized by lectins, viruses and bacteria, playing a variety of roles in many biological …

Glycans, the most diverse biopolymer, are shaped by evolutionary pressures stemming from
host-microbe interactions. Here, we present machine learning and bioinformatics methods to …

Glycans are essential to all scales of biology, with their intricate structures being crucial for
their biological functions. The structural complexity of glycans is communicated through …

Cellular glycosylation is characterized by chemical complexity and heterogeneity, which is
challenging to reproduce synthetically. Here we show chemoenzymatic synthesis on phage …

Glycans are complex, yet ubiquitous across biological systems. They are involved in diverse
essential organismal functions. Aberrant glycosylation may lead to disease development …

Glycomics, the comprehensive profiling of all glycan structures in samples, is rapidly
expanding to enable insights into physiology and disease mechanisms. However, glycan …

It is important to recognize the great diversity of monosaccharides commonly encountered in
animals, plants, and microbes, as well as to organize them in a visually interesting style that …