By Claus-Wilhelm von der Lieth, Thomas Luetteke, Martin Frank
This ebook is the 1st to be devoted to the bioinformatics of carbohydrates and glycoproteins. It offers an advent to this rising box of technological know-how either for the experimentalist operating in glycobiology and glycomics, and in addition for the pc scientist trying to find historical past info for the improvement of hugely subtle algorithmic approaches. The e-book presents an summary of the cutting-edge within the box, with reports on databases, and the instruments in use for research, interpretation, and prediction of the constructions of complicated carbohydrates, and demonstrates the worth of bioinformatics for glycobiology.
the provision of entire databases and corresponding bioinformatics instruments, to entry and examine the massive quantities of experimental facts in terms of the constitution of carbohydrates, might be a prerequisite for the luck of the large-scale glycomics tasks that target to decipher new, thus far unknown, organic capabilities of glycans. Efficient bioinformatics descriptions and instruments can significantly improve the potency of glycomics examine, when it comes to info caliber, research and experimental expenses.
for a whole figuring out of the molecular methods within which carbohydrates are concerned, comparable to protein–carbohydrate interactions and the influence of glycosylation on protein functionality, wisdom of the 3D constitution of the carbohydrate, the protein–carbohydrate advanced, or the glycoprotein is usually imperative. This e-book offers an intensive creation into tools used for conformational research of carbohydrates.
Key positive aspects:
- Describes bioinformatic ways to address carbohydrate-active enzymes and glycosylation.
- Provides an outline on bioinformatics instruments that facilitate research of carbohydrate constructions.
- Gives creation into molecular modelling of carbohydrate 3D constitution and carbohydrates inside the Protein Databank.
- Assumes just a easy wisdom of biology and bioinformatics.
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Additional info for Bioinformatics for Glycobiology and Glycomics: An Introduction
Stevens J, Blixt O, Glaser L, Taubenberger JK, Palese P, Paulson JC, Wilson IA: Glycan microarray analysis of the hemagglutinins from modern and pandemic influenza viruses reveals different receptor specificities. J Mol Biol 2006, 335:1143–1155. 42. Glaser L, Stevens J, Zamarin D, Wilson IA, Garc´ıa-Sastre A, Tumpey TM, Basler CF, Taubenberger JK, Palese P: A single amino acid substitution in 1918 influenza virus hemagglutinin changes receptor binding specificity. J Virol 2005, 79:11533–11536. 43.
60. van Kuik JA, Vliegenthart JF: Databases of complex carbohydrates. Trends Biotechnol 1992, 10:182–185. 61. van Kuik JA, H˚ard K, Vliegenthart JFG: A 1H NMR database computer program for the analysis of the primary structure of complex carbohydrates. Carbohydr Res 1992, 235:53–68. 62. Loss A, Bunsmann P, Bohne A, Loss A, Schwarzer E, Lang E, von der Lieth CW: SWEETDB: an attempt to create annotated data collections for carbohydrates. Nucleic Acids Res 2002, 30:405–408. 20 Introduction 63. de: an Internet portal to support glycomics and glycobiology research.
Cancer is associated with changes in glycosylation of proteins exposed on the outer cell surface. Therefore, monitoring of temporal changes in glycosylation has potential as a diagnostic tool and as a prognostic indicator. Furthermore, cancer cell-specific complex glycans may also serve as targets for tissue- or cell-selective delivery of agents that can kill tumor cells. In addition to the effects of altered glycan biosynthesis/catabolism in disease, complex carbohydrate epitopes play key roles in allergy and immune reactions against parasites.
Bioinformatics for Glycobiology and Glycomics: An Introduction by Claus-Wilhelm von der Lieth, Thomas Luetteke, Martin Frank