AIMC Topic: Glycosylation

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GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome.

Bioinformatics (Oxford, England)
MOTIVATION: Glycosylation is a ubiquitous type of protein post-translational modification (PTM) in eukaryotic cells, which plays vital roles in various biological processes (BPs) such as cellular communication, ligand recognition and subcellular reco...

SLC35A2 loss-of-function variants affect glycomic signatures, neuronal fate and network dynamics.

Brain : a journal of neurology
SLC35A2 encodes a uridine diphosphate (UDP)-galactose transporter essential for glycosylation of proteins and galactosylation of lipids and glycosaminoglycans. Germline genetic SLC35A2 variants have been identified in congenital disorders of glycosyl...

Decoding Glycosylation in Neurodegenerative Diseases: Mechanistic Insights and Therapeutic Opportunities.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Glycosylation is a highly dynamic and complex post-translational modification that plays a pivotal role in regulating protein folding, trafficking, stability, and function. Accumulating evidence indicates that aberrant glycosylation is intimately inv...

The Construction of a New Prognostic Model of Breast Cancer and the Exploration of Drug Sensitivity Based on Machine Learning for Glycosylation-Related Genes.

Clinical breast cancer
AIMS: Breast cancer has become the number 1 killer threatening women's health. In recent years, glycosylation modification has played an increasingly important role in tumor progression. The aim of this study was to explore the key genes that may be ...

Glycosyltransferases in human milk oligosaccharide synthesis: structural mechanisms and rational design.

Current opinion in biotechnology
Human milk oligosaccharides (HMOs) play a pivotal role in infant health through their multifunctional bioactive properties. Recent advances in synthetic biology have revolutionized microbial platforms for HMO biosynthesis, with glycosyltransferases (...

Enhanced O-glycosylation site prediction using explainable machine learning technique with spatial local environment.

Bioinformatics (Oxford, England)
MOTIVATION: The accurate prediction of O-GlcNAcylation sites is crucial for understanding disease mechanisms and developing effective treatments. Previous machine learning (ML) models primarily relied on primary or secondary protein structural and re...

GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology.

Bioinformatics (Oxford, England)
MOTIVATION: The 'glycoEnzymes' include a set of proteins having related enzymatic, metabolic, transport, structural and cofactor functions. Currently, there is no established ontology to describe glycoEnzyme properties and to relate them to glycan bi...

Computational Prediction of N- and O-Linked Glycosylation Sites for Human and Mouse Proteins.

Methods in molecular biology (Clifton, N.J.)
Protein glycosylation is one of the most complex posttranslational modifications (PTM) that play a fundamental role in protein function. Identification and annotation of these sites using experimental approaches are challenging and time consuming. He...

SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties.

Bioinformatics (Oxford, England)
MOTIVATION: Protein glycosylation is one of the most abundant post-translational modifications that plays an important role in immune responses, intercellular signaling, inflammation and host-pathogen interactions. However, due to the poor ionization...

Capsule network for protein post-translational modification site prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Computational methods for protein post-translational modification (PTM) site prediction provide a useful approach for studying protein functions. The prediction accuracy of the existing methods has significant room for improvement. A rece...