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Protein Glycosylation

Protein Glycosylation

Glycosylation, the most common post-translational modification for proteins, serves diverse functions. Adding sugars to proteins makes the proteins more resistant to proteolytic digestion. Glycosylated proteins can act as markers and receptors to promote cell-cell adhesion. Additionally, they have many essential quality control functions in the cell, such as correct protein folding and facilitating transport of misfolded proteins to the cytosol, which can be degraded.
Glycosylation occurs in...

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Author Spotlight: MAPP Protocol – Advancing Glycan Analysis

Author Spotlight: MAPP Protocol – Advancing Glycan Analysis

Published on: September 29, 2023

GlycoPattern: a web platform for glycan array mining.

Sanjay B Agravat¹, Joel H Saltz¹, Richard D Cummings²

¹National Center For Functional Glycomics, Emory University School of Medicine, Atlanta, GA 30322, USA, Department of Mathematics and Computer Science, Emory University, Atlanta, GA 30322 and Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11794, USA National Center For Functional Glycomics, Emory University School of Medicine, Atlanta, GA 30322, USA, Department of Mathematics and Computer Science, Emory University, Atlanta, GA 30322 and Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11794, USA.

Bioinformatics (Oxford, England)

|August 22, 2014

Summary

This summary is machine-generated.

GlycoPattern is a web tool for analyzing glycan array data, aiding in the discovery of structural motifs and comparing experiments. It facilitates the study of glycan-binding proteins and their interactions.

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Area of Science:

Bioinformatics
Glycomics
Computational Biology

Background:

Glycan array data analysis is crucial for understanding biological processes.
The Consortium for Functional Glycomics generates extensive glycan array data.
Existing tools may lack comprehensive features for motif discovery and comparative analysis.

Purpose of the Study:

To introduce GlycoPattern, a web-based bioinformatics resource.
To provide tools for the analysis of glycan array data.
To support the Consortium for Functional Glycomics research.

Main Methods:

Development of a web-based platform (GlycoPattern).
Implementation of algorithms for structural motif discovery.
Integration of heatmap visualization for experiment comparison.
Inclusion of hierarchical clustering for Glycan Binding Proteins.
Addition of a structural search feature for experimental data.

Main Results:

GlycoPattern enables discovery of structural motifs in glycan array data.
The resource allows for effective comparison of multiple experiments using heatmaps.
Hierarchical clustering reveals relationships between Glycan Binding Proteins and their motifs.
Structural search functionality aids in data exploration.

Conclusions:

GlycoPattern serves as a valuable bioinformatics resource for glycan array data analysis.
The tool supports motif discovery, comparative analysis, and protein-glycan interaction studies.
It enhances research capabilities within the Consortium for Functional Glycomics.