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Related Concept Videos

Protein Glycosylation01:25

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...
Glycosaminoglycans01:23

Glycosaminoglycans

Glycosaminoglycans (GAGs), also known as mucopolysaccharides, are long and linear polymers comprising of specific repeating disaccharides - the amino sugar that can be N-acetylglucosamine or N-acetylgalactosamine, and a uronic acid that is usually glucuronic acid or iduronic acid.
GAGS are found in the extracellular matrix of vertebrates, invertebrates, and bacteria. Due to their polar nature they attract water, and serve as excellent lubricants or shock absorbers in an animal body.
Hyaluronic...

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Updated: May 15, 2026

Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
11:21

Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions

Published on: January 20, 2022

Using databases and web resources for glycomics research.

Kiyoko F Aoki-Kinoshita1

  • 1Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo, Japan. kkiyoko@soka.ac.jp

Molecular & Cellular Proteomics : MCP
|January 18, 2013
PubMed
Summary
This summary is machine-generated.

This review highlights key carbohydrate databases and web resources for glycoscientists. It serves as a guide to help researchers find essential carbohydrate structure and data resources online.

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Area of Science:

  • Carbohydrate Chemistry
  • Glycoscience
  • Bioinformatics

Background:

  • Numerous carbohydrate databases exist online, offering valuable information for glycoscientists.
  • Understanding these resources is crucial for researchers in the glycosciences.

Purpose of the Study:

  • To review major carbohydrate databases and web resources.
  • To provide a guide for glycoscientists to identify relevant data sources.

Main Methods:

  • Literature review of existing carbohydrate databases.
  • Categorization of web resources based on data type and utility.
  • Historical overview of carbohydrate database development and notation systems.

Main Results:

  • Identification and summary of key carbohydrate databases.
  • Explanation of various carbohydrate notations used in databases.
  • A structured guide to aid resource selection for specific research needs.

Conclusions:

  • This review consolidates essential carbohydrate databases and web resources.
  • The provided guide assists researchers in navigating glycoscience data for their specific interests.