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Nucleic Acids Research Advance Access originally published online on November 4, 2008
Nucleic Acids Research 2009 37(Database issue):D588-D592; doi:10.1093/nar/gkn820
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Nucleic Acids Research, 2009, Vol. 37, Database issue D588-D592
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

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

Antje Chang, Maurice Scheer, Andreas Grote, Ida Schomburg and Dietmar Schomburg*

Technical University Braunschweig, Institute for Bioinformatics and Biochemistry, Langer Kamp 19 B, 38106 Braunschweig, Germany

*To whom correspondence should be addressed. Tel: +49 221 470 6440; Fax: +49 221 470 5092; Email: d.schomburg{at}tu-bs.de

Received September 12, 2008. Revised October 13, 2008. Accepted October 13, 2008.

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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