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Enzyme Databases

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Data Mining Techniques for the Life Sciences

Part of the book series: Methods in Molecular Biology ((MIMB,volume 609))

Abstract

Enzymes are catalysts for the chemical reactions in the metabolism of all organisms and play a key role in the regulation of metabolic steps within the cells, as drug targets, and in a wide range of biotechnological applications. With respect to reaction type, they are grouped into six classes, namely oxidoreductases, transferases, hydrolases, lyases, and ligases. EC-Numbers are assigned by the IUBMB. Enzyme functional databases cover a wide range of properties and functions, such as occurrence, kinetics of enzyme-catalyzed reactions, structure, or metabolic function. BRENDA stores a large variety of different data for all classified enzymes whereas KEGG, MEROPS, MetaCyc, REBASE, CAzy, ESTHER, PeroxiBase, and KinBase specialize in either certain aspects of enzyme function or specific enzyme classes, organisms, or metabolic pathways. Databases covering enzyme nomenclature are ExplorEnz, SIB-ENZYME, and IntEnz.

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Author information

Authors and Affiliations

  1. Department of Bioinformatics and Biochemistry, Technische Universität Carolo-Wilhelmina zu Braunschweig, Braunschweig, Germany

    Dietmar Schomburg & Ida Schomburg

Authors
  1. Dietmar Schomburg
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  2. Ida Schomburg
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Editor information

Editors and Affiliations

  1. Max F. Perutz Laboratories GmbH, Universität Wien, Dr. Bohr-Gasse 9, Wien, 1030, Austria

    Oliviero Carugo

  2. Research (A*STAR), Agency for Science & Technology, Biopolis Street 30, Singapore, 138671, Singapore

    Frank Eisenhaber

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© 2010 Humana Press, a part of Springer Science+Business Media, LLC

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Schomburg, D., Schomburg, I. (2010). Enzyme Databases. In: Carugo, O., Eisenhaber, F. (eds) Data Mining Techniques for the Life Sciences. Methods in Molecular Biology, vol 609. Humana Press. https://doi.org/10.1007/978-1-60327-241-4_7

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  • DOI: https://doi.org/10.1007/978-1-60327-241-4_7

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60327-240-7

  • Online ISBN: 978-1-60327-241-4

  • eBook Packages: Springer Protocols

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