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Functions of Glycosylation and Related Web Resources for Its Prediction

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Computational Methods for Predicting Post-Translational Modification Sites

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2499))

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Abstract

Glycosylation involves the attachment of carbohydrate sugar chains, or glycans, onto an amino acid residue of a protein. These glycans are often branched structures and serve to modulate the function of proteins. Glycans are synthesized through a complex process of enzymatic reactions that occur in the Golgi apparatus in mammalian systems. Because there is currently no sequencer for glycans, technologies such as mass spectrometry is used to characterize glycans in a biological sample to ascertain its glycome. This is a tedious process that requires high levels of expertise and equipment. Thus, the enzymes that work on glycans, called glycogenes or glycoenzymes, have been studied to better understand glycan function. With the development of glycan-related databases and a glycan repository, bioinformatics approaches have attempted to predict the glycosylation pathway and the glycosylation sites on proteins. This chapter introduces these methods and related Web resources for understanding glycan function.

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Author information

Authors and Affiliations

  1. Glycan and Life Systems Integration Center (GaLSIC), Soka University, Tokyo, Japan

    Kiyoko F. Aoki-Kinoshita

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  1. Kiyoko F. Aoki-Kinoshita
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Correspondence to Kiyoko F. Aoki-Kinoshita .

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Editors and Affiliations

  1. Michigan Technological University, Houghton, MI, USA

    Dukka B. KC

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Aoki-Kinoshita, K.F. (2022). Functions of Glycosylation and Related Web Resources for Its Prediction. In: KC, D.B. (eds) Computational Methods for Predicting Post-Translational Modification Sites. Methods in Molecular Biology, vol 2499. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2317-6_6

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  • DOI: https://doi.org/10.1007/978-1-0716-2317-6_6

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2316-9

  • Online ISBN: 978-1-0716-2317-6

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