Synergy of Computational and Experimental Methods in Carbohydrate 3D Structure Determination and Validation

Lütteke, Thomas; Frank, Martin

doi:10.1002/9780470029619.ch20

Bioinformatics for Glycobiology and Glycomics 2009

DOI: 10.1002/9780470029619.ch20

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Synergy of Computational and Experimental Methods in Carbohydrate 3D Structure Determination and Validation

Thomas Lütteke

Martin Frank

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2010

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Bioinformatics and molecular modeling in glycobiology

Frank

Schloissnig

2010

Cell. Mol. Life Sci.

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The field of glycobiology is concerned with the study of the structure, properties, and biological functions of the family of biomolecules called carbohydrates. Bioinformatics for glycobiology is a particularly challenging field, because carbohydrates exhibit a high structural diversity and their chains are often branched. Significant improvements in experimental analytical methods over recent years have led to a tremendous increase in the amount of carbohydrate structure data generated. Consequently, the availability of databases and tools to store, retrieve and analyze these data in an efficient way is of fundamental importance to progress in glycobiology. In this review, the various graphical representations and sequence formats of carbohydrates are introduced, and an overview of newly developed databases, the latest developments in sequence alignment and data mining, and tools to support experimental glycan analysis are presented. Finally, the field of structural glycoinformatics and molecular modeling of carbohydrates, glycoproteins, and protein–carbohydrate interaction are reviewed.

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Bioinformatics and molecular modeling in glycobiology

Frank

Schloissnig

2010

Cell. Mol. Life Sci.

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Synergy of Computational and Experimental Methods in Carbohydrate 3D Structure Determination and Validation

Cited by 1 publication

References 89 publications

Bioinformatics and molecular modeling in glycobiology

Bioinformatics and molecular modeling in glycobiology

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