BRENDA, enzyme data and metabolic information
- PMID:11752250
- PMCID: PMC99121
- DOI: 10.1093/nar/30.1.47
BRENDA, enzyme data and metabolic information
Abstract
BRENDA is a comprehensive relational database on functional and molecular information of enzymes, based on primary literature. The database contains information extracted and evaluated from approximately 46 000 references, holding data of at least 40 000 different enzymes from more than 6900 different organisms, classified in approximately 3900 EC numbers. BRENDA is an important tool for biochemical and medical research covering information on properties of all classified enzymes, including data on the occurrence, catalyzed reaction, kinetics, substrates/products, inhibitors, cofactors, activators, structure and stability. All data are connected to literature references which in turn are linked to PubMed. The data and information provide a fundamental tool for research of enzyme mechanisms, metabolic pathways, the evolution of metabolism and, furthermore, for medicinal diagnostics and pharmaceutical research. The database is a resource for data of enzymes, classified according to the EC system of the IUBMB Enzyme Nomenclature Committee, and the entries are cross-referenced to other databases, i.e. organism classification, protein sequence, protein structure and literature references. BRENDA provides an academic web access at http://www.brenda.uni-koeln.de.
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References
- Schomburg D. and Schomburg,I. (2001) Springer Handbook of Enzymes, 2nd edn. Springer, Heidelberg, Gemany.
- Enzyme Nomenclature Committee (1992) Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the Nomenclature and Classification of Enzymes, NC-IUBMB. Academic Press, New York, NY.
- Wheeler D.L., Church,D.M., Lash,A.E., Leipe,D.D., Madden,T.L., Pontius,J.U., Schuler,G.D., Schriml,L.M., Tatusova,T.A., Wagner,L. and Rapp,B.A. (2001) Database resources of the National Center for Biotechnology Information. Nucleic Acids Res., 29, 11–16. Updated article in this issue: Nucleic Acids Res. (2002), 30, 13–16. - PMC - PubMed
- Weininger D. (1988) SMILES 1. Introduction and encoding rules. J. Chem. Inf. Comput. Sci., 28, 31–36.
- Schomburg I., Hofmann,O., Baensch,C., Chang,A. and 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.
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