|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 (BRaunschweig ENzyme DAtabase) is an enzyme information system representing one of the most comprehensive enzyme repositories.
BRENDA is an electronic information 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; i.e., substrates and products are described in detail. BRENDA 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 National Research Centre for Biotechnology (now: Helmholtz Centre for Infection Research) in Braunschweig and was originally published as a series of books. 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 latest update was performed in July 2012[update].
Content and Features 
The database contains more than 40 data fields with enzyme-specific information on more than 4800 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. The data originates from almost 85,000 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. 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, two text-mining repositories FRENDA (Full Reference ENzyme DAta) and AMENDA (Automatic Mining of 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.
- Several different query forms (e.g., quick and advanced search)
- EC tree browser
- Taxonomy tree browser
- Ontologies for different biological domains (e.g., BRENDA tissue ontology, Gene Ontology)
- Thesaurus for ligand names
- Chemical substructure search engine for ligand structures
- SOAP interface
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.
Other databases 
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:
- BRENDA tissue ontology
- NCBI databases (Protein, nucleotide, structure, genome, OMIM, Domains
- IUBMB enzyme nomenclature
- PDB database (3D information)
- Chang A, Scheer M, Grote A, Schomburg I, Schomburg D (2008). "BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009". Nucleic Acids Res 37 (Database issue): D588-D592. doi:10.1093/nar/gkn820. PMC 2686525. PMID 18984617.
- Barthelmes J, Ebeling C, Chang A, Schomburg I, Schomburg D (2006). "BRENDA, AMENDA and FRENDA: the enzyme information system in 2007". Nucleic Acids Res 35 (Database issue): D511-D514. doi:10.1093/nar/gkl972. PMC 1899097. PMID 17202167.
Further reading 
- Scheer M, Grote A, Chang A, Schomburg I, Munaretto C, Rother M, Söhngen C, Stelzer M, Thiele J, Schomburg D (2011). "BRENDA, the enzyme information system in 2011". Nucleic Acids Res 39 (Database issue): D670–76. doi:10.1093/nar/gkq1089. PMC 3013686. PMID 21062828.
- Chang A, Scheer M, Grote A, Schomburg I, Schomburg D (2009). "BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009". Nucleic Acids Res 37 (Database issue): D588–92. doi:10.1093/nar/gkn820. PMC 2686525. PMID 18984617.
- Schomburg D, Schomburg I, Chang A (2006). Springer Handbook of Enzymes (2nd ed.). Heidelberg: Springer.
- Schomburg I, Chang A, Ebeling C, Gremse M, Heldt C, Huhn G, Schomburg D (2004). "BRENDA, the enzyme database: updates and major new developments". Nucleic Acids Res 32 (Database issue): D431–433. doi:10.1093/nar/gkh081. PMC 308815. PMID 14681450.
- Pharkya P, Nikolaev EV, Maranas CD (2003). "Review of the BRENDA Database". Metab Eng 5 (2): 71–73. doi:10.1016/S1096-7176(03)00008-9. PMID 12850129.
- Schomburg I, Chang A, Hofmann O, Ebeling C, Ehrentreich F, Schomburg D (2002). "BRENDA: a resource for enzyme data and metabolic information]". Trends Biochem Sci 27 (1): 54–56. doi:10.1016/S0968-0004(01)02027-8. PMID 11796225.
- Schomburg I, Chang A, Schomburg D (2002). "BRENDA, enzyme data and metabolic information". Nucleic Acids Res 30 (1): 47–49. doi:10.1093/nar/30.1.47. PMC 99121. PMID 11752250.
- Schomburg I, Hofmann O, Bänsch C, Chang A, Schomburg D (2000). "Enzyme data and metabolic information: BRENDA, a resource for research in biology, biochemistry, and medicine". Gene Funct Dis 3 (4): 109–118.