Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
01.10.2009
Herausgeber
Claus-Wilhelm der Lieth + weitereVerlag
John Wiley & SonsSeitenzahl
494 (Printausgabe)
Dateigröße
12243 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470029602
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.
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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