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.
General
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