|Description||molecular and biochemical information on enzymes that have been classified by the IUBMB|
|Research center||Technische Universität Braunschweig, BRICS - Braunschweig Integrated Centre of Systems Biology|
|Primary citation||PMID 33211880|
|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 BRICS ( Braunschweig Integrated Centre of Systems Biology) at the TU Braunschweig.
In 2018 BRENDA was appointed to ELIXIR Core Data Resource with fundamental importance to biological and biomedical research and long-term preservation of biological data.
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.
Content and features
The database contains more than 40 data fields with enzyme-specific information on more than 8300 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 165,000 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 in-house development of the BRENDA team is the BRENDA tissue ontology (BTO), a comprehensive, structured encyclopedia with controlled vocabulary for terms and names for tissues, organs, anatomical structures, plant parts, cell cultures, cell types, and cell lines in organisms from all taxonomic groups.
An important part of BRENDA represent the almost 260,000 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.
- 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
- BRENDA Pathway Maps
The use of BRENDA is free of charge. BRENDA is subject to the terms of the Creative Commons license (CC BY 4.0).
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, Jeske L, Ulbrich S, Hofmann J, Koblitz J, Schomburg I, Neumann-Schaal M, Jahn D, Schomburg D (2021). "BRENDA, the ELIXIR core data resource in 2021: new developments and updates". Nucleic Acids Res. 49 (Database issue): D498–D508. doi:10.1093/nar/gkaa1025. PMC 7779020. PMID 33211880.
- ^ Schomburg I, Jeske L, Ulbrich M, Placzek S, Chang A, Schomburg D (2021). "The BRENDA enzyme information system-From a database to an expert system". J. Biotechnol. 261 (Database issue): 194–206. doi:10.1016/j.jbiotec.2017.04.020. PMID 28438579.
- ^ a b c 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): D588-92. doi:10.1093/nar/gkn820. PMC 2686525. PMID 18984617.
- ^ M. Gremse, A. Chang, I. Schomburg, A. Grote, M. Scheer, C. Ebeling, D. Schomburg: The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources. In: Nucleic Acids Res. 39 (Database issue), 2011, S. D507–D513
- ^ Schomburg I, Chang A, Placzek S, Söhngen C, Rother M, Lang M, Munaretto C, Ulas S, Stelzer M, Grote A, Scheer M, Schomburg D: "BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA", Nucleic Acids Res., 41 (Database issue): D764-D772
- ^ 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): D511-4. doi:10.1093/nar/gkl972. PMC 1899097. PMID 17202167.
- Chang A, Schomburg I, Placzek S, Jeske L, Ulbrich M, Xiao M, Sensen CW, Schomburg D (2015). "BRENDA in 2015: exciting developments in its 25th year of existence". Nucleic Acids Res. 43 (Database issue): D439–D446. doi:10.1093/nar/gku1068. PMC 4383907. PMID 25378310.
- Schomburg I, Schomburg D (2016). "BRENDA: From a database to a centre of excellence". Systembiologie.de. 10: 18–21.
- 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.
- 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, 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. doi:10.1002/1438-826X(200010)1:3/4<109::AID-GNFD109>3.0.CO;2-O.