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. 2009 Jan;37(Database issue):D588-92.
doi: 10.1093/nar/gkn820. Epub 2008 Nov 4.

BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009

Antje Chang  1 , Maurice Scheer, Andreas Grote, Ida Schomburg, Dietmar Schomburg
Affiliations

BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009

Antje Chang et al. Nucleic Acids Res. 2009 Jan.

Abstract

The BRENDA (BRaunschweig ENzyme DAtabase) (http://www.brenda-enzymes.org) represents the largest freely available information system containing a huge amount of biochemical and molecular information on all classified enzymes as well as software tools for querying the database and calculating molecular properties. The database covers information on classification and nomenclature, reaction and specificity, functional parameters, occurrence, enzyme structure and stability, mutants and enzyme engineering, preparation and isolation, the application of enzymes, and ligand-related data. The data in BRENDA are manually curated from more than 79,000 primary literature references. Each entry is clearly linked to a literature reference, the origin organism and, where available, to the protein sequence of the enzyme protein. A new search option provides the access to protein-specific data. FRENDA (Full Reference ENzyme DAta) and AMENDA (Automatic Mining of ENzyme DAta) are additional databases created by continuously improved text-mining procedures. These databases ought to provide a complete survey on enzyme data of the literature collection of PubMed. The web service via a SOAP (Simple Object Access Protocol) interface for access to the BRENDA data has been further enhanced.

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Figures

Figure 1.
Figure 1.
Depicted are the numbers of different isoforms for human protein kinases in BRENDA.
Figure 2.
Figure 2.
Input data and their source databases used for the co-occurence based text-mining approach that generates the BRENDA supplements FRENDA and AMENDA.
See this image and copyright information in PMC

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References

    1. Schomburg D, Schomburg I. Springer Handbook of Enzymes. 2. Heidelberg, Germany: Springer; 2001–2007.
    1. Schomburg I, Chang A, Ebeling C, Gremse M, Heldt C, Huhn G, Schomburg D. BRENDA, the enzyme database: updates and major new developments. Nucleic Acids Res. 2004;32:D431–D433. - PMC - PubMed
    1. Barthelmes J, Ebeling C, Chang A, Schomburg I, Schomburg D. BRENDA, AMENDA and FRENDA: the enzyme information system in 2007. Nucleic Acids Res. 2007;35:D511–D514. - PMC - PubMed
    1. Sonnhammer ElL, von Heijne G, Krogh A. A hidden Markov model for predicting transmembrane helices in protein sequences. In: Glasgow J, Littlejohn T, Major F, Lathrop R, Sankoff D, Sensen C, editors. Proceedings of the Sixth International Conference on Intelligent Systems for Molecular Biology. Menlo Park, CA: AAAI Press; 1998. pp. 175–182. - PubMed
    1. Webb EC and NC-IUBMB. Enzyme Nomenclature: Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the Nomenclature and Classifcation of Enzymes. New York, NY: Academic Press; 1992.

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