Bioinformatics for Glycobiology and Glycomics
Bioinformatics for Glycobiology and Glycomics: An Introduction Claus-Wilhelm von der Lieth (Editor), Thomas Luetteke (Editor), Martin Frank (Editor)
Publisher: Wiley
ISBN: 0470016671
DDC: 572.56
Edition: Hardcover; 2010-02-15
Summary:
This book is the first to be dedicated to the bioinformatics of
carbohydrates and glycoproteins. It provides an introduction to this
emerging field of science both for the experimentalist working in
glycobiology and glycomics, and also for the computer scientist
looking for background information for the development of highly
sophisticated algorithmic approaches. The book provides an overview
of the state-of-the-art in the field, with reviews on databases, and
the tools in use for analysis, interpretation, and prediction of the
structures of complex carbohydrates, and demonstrates the value of
bioinformatics for glycobiology. The availability of comprehensive
databases and corresponding bioinformatics tools, to access and
analyse the large amounts of experimental data relating to the
structure of carbohydrates, will be a prerequisite for the success of
the large-scale glycomics projects that aim to decipher new, so far
unknown, biological functions of glycans. Efficient bioinformatics
descriptions and tools can considerably enhance the efficiency of
glycomics research, in terms of data quality, analysis and
experimental costs. For a complete understanding of the molecular
processes in which carbohydrates are involved, such as
protein–carbohydrate interactions and the impact of glycosylation on
protein function, knowledge of the 3D structure of the carbohydrate,
the protein–carbohydrate complex, or the glycoprotein is often
indispensable. This book provides a thorough introduction into
methods used for conformational analysis of carbohydrates. Key
features: Describes bioinformatic approaches to handle
carbohydrate-active enzymes and glycosylation. Provides an overview
on bioinformatics tools that facilitate analysis of carbohydrate
structures. Gives introduction into molecular modelling of
carbohydrate 3D structure and carbohydrates contained in the Protein
Databank. Assumes only a basic knowledge of biology and
bioinformatics.
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