AIMC Topic: Glycosylation

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

Bioinformatics (Oxford, England) Feb 4, 2025
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...
Neural Networks, Computer Machine Learning Computational Biology Glycosylation Protein Processing, Post-Translational Proteins
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GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology.

Bioinformatics (Oxford, England) Dec 13, 2022
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...
Humans Glycosylation Polysaccharides Knowledge Bases Gene Ontology
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Computational Prediction of N- and O-Linked Glycosylation Sites for Human and Mouse Proteins.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
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...
Humans Animals Mice Computational Biology Glycosylation Support Vector Machine Protein Processing, Post-Translational Proteins Amino Acid Sequence
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SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties.

Bioinformatics (Oxford, England) Oct 15, 2019
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...
Humans Animals Mice Glycosylation Support Vector Machine Protein Processing, Post-Translational Glycoproteins
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Capsule network for protein post-translational modification site prediction.

Bioinformatics (Oxford, England) Jul 15, 2019
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...
Neural Networks, Computer Glycosylation Protein Processing, Post-Translational Proteins Phosphorylation Sumoylation
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