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.
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This book is the first to be dedicated to the bioinformatics of carbohydrates and glycoproteins. It provides a state-of-the art overview and demonstrates the value of bioinformatics for glycobiology, not simply as a review of databases and tools but rather as an introduction to a new branch of glycobiology.
The availability of comprehensive databases and corresponding bioinformatics tools, to access and analyse the large amounts of data relating to the sequence and 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.
Interpretation of this sequence information will require new bioinformatics tools and the automated interpretation of experimental data, especially mass spectra, is currently the most active area of research.
Efficient bioinformatics descriptions and tools can considerably enhance the efficiency of glycomics research, in terms of data quality, analysis and experimental costs. This book illustrates how bioinformatics can be used to enhance glycomics data mining and improve glycomics analysis.
Dr. Claus-Wilhelm von der Lieth, died 2007.
Thomas Lütteke, Justus-Liebig University Giessen, Germany; Fakulty of Veterinary Medicine, Institute of Biochemistry und Endocrinology.
Dr. Martin Frank, German Cancer Research Center, Heidelberg, Germany; Bijvoet Center for Biomolecular Research, Utrecht University, The Netherlands.
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