|Description||molecular and biochemical information on enzymes that have been classified by the IUBMB|
|Research center||Technische Universität Braunschweig, Department of Biochemistry and Bioinformatics|
|Primary citation||PMID 21062828|
|Web service URL||soap|
BRENDA (The Comprehensive Enzyme Information System) is an information system representing one of the most comprehensive enzyme repositories. It is an electronic resource that comprises molecular and biochemical information on enzymes that have been classified by the IUBMB. Every classified enzyme is characterized with respect to its catalyzed biochemical reaction. Kinetic properties of the corresponding reactants (that is, substrates and products) are described in detail. BRENDA contains enzyme-specific data manually extracted from primary scientific literature and additional data derived from automatic information retrieval methods such as text mining. It provides a web-based user interface that allows a convenient and sophisticated access to the data.
BRENDA was founded in 1987 at the former German Research Centre for Biotechnology (now the Helmholtz Centre for Infection Research) in Braunschweig and was originally published as a series of books. Its name was originally an acronym for the Braunschweig Enzyme Database. From 1996 to 2007, BRENDA was located at the University of Cologne. There, BRENDA developed into a publicly accessible enzyme information system. In 2007, BRENDA returned to Braunschweig. Currently, BRENDA is maintained and further developed at the Department of Bioinformatics and Biochemistry at the TU Braunschweig.
A major update of the data in BRENDA is performed twice a year. Besides the upgrade of its content, improvements of the user interface are also incorporated into the BRENDA database.
The database contains more than 40 data fields with enzyme-specific information on more than 7000 EC numbers that are classified according to the IUBMB. The different data fields cover information on the enzyme's nomenclature, reaction and specificity, enzyme structure, isolation and preparation, enzyme stability, kinetic parameters such as Km value and turnover number, occurrence and localization, mutants and engineered enzymes, application of enzymes and ligand-related data. Currently, BRENDA contains manually annotated data from over 140,000 different scientific articles. Each enzyme entry is clearly linked to at least one literature reference, to its source organism, and, where available, to the protein sequence of the enzyme. An important part of BRENDA represent the more than 110,000 enzyme ligands, which are available on their names, synonyms or via the chemical structure. The term "ligand" is used in this context to all low molecular weight compounds which interact with enzymes. These include not only metabolites of primary metabolism, co-substrates or cofactors but also enzyme inhibitors or metal ions. The origin of these molecules ranges from naturally occurring antibiotics to synthetic compounds that have been synthesized for the development of drugs or pesticides. Furthermore, cross-references to external information resources such as sequence and 3D-structure databases, as well as biomedical ontologies, are provided.
Since 2006, the data in BRENDA is supplemented with information extracted from the scientific literature by a co-occurrence based text mining approach. For this purpose, four text-mining repositories FRENDA (Full Reference ENzyme DAta), AMENDA (Automatic Mining of ENzyme DAta), DRENDA (Disease-Related ENzyme information DAtabase) and KENDA (Kinetic ENzyme DAta) were introduced. These text-mining results were derived from the titles and abstracts of all articles in the literature database PubMed.
There are several tools to obtain access to the data in BRENDA. Some of them are listed here.
The usage of BRENDA is free of charge. In addition, FRENDA and AMENDA are free for non-profit users. Commercial users are in need of a license for these databases through BIOBASE.
BRENDA provides links to several other databases with a different focus on the enzyme, e.g., metabolic function or enzyme structure. Other links lead to ontological information on the corresponding gene of the enzyme in question. Links to the literature are established with PubMed. BRENDA links to some further databases and repositories such as: