BRENDA, the enzyme information system in 2011
- PMID: 21062828
- PMCID: PMC3013686
- DOI: 10.1093/nar/gkq1089
BRENDA, the enzyme information system in 2011
Abstract
The BRENDA (BRaunschweig ENzyme Database, http://www.brenda-enzymes.org) enzyme information system is the main collection of enzyme functional and property data for the scientific community. The majority of the data are manually extracted from the primary literature. The content covers information on function, structure, occurrence, preparation and application of enzymes as well as properties of mutants and engineered variants. The number of manually annotated references increased by 30% to more than 100,000, the number of ligand structures by 45% to almost 100,000. New query, analysis and data management tools were implemented to improve data processing, data presentation, data input and data access. BRENDA now provides new viewing options such as the display of the statistics of functional parameters and the 3D view of protein sequence and structure features. Furthermore a ligand summary shows comprehensive information on the BRENDA ligands. The enzymes are linked to their respective pathways and can be viewed in pathway maps. The disease text mining part is strongly enhanced. It is possible to submit new, not yet classified enzymes to BRENDA, which then are reviewed and classified by the International Union of Biochemistry and Molecular Biology. A new SBML output format of BRENDA kinetic data allows the construction of organism-specific metabolic models.
Figures
Similar articles
-
BRENDA in 2015: exciting developments in its 25th year of existence.Nucleic Acids Res. 2015 Jan;43(Database issue):D439-46. doi: 10.1093/nar/gku1068. Epub 2014 Nov 5. Nucleic Acids Res. 2015. PMID: 25378310 Free PMC article.
-
BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009.Nucleic Acids Res. 2009 Jan;37(Database issue):D588-92. doi: 10.1093/nar/gkn820. Epub 2008 Nov 4. Nucleic Acids Res. 2009. PMID: 18984617 Free PMC article.
-
BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA.Nucleic Acids Res. 2013 Jan;41(Database issue):D764-72. doi: 10.1093/nar/gks1049. Epub 2012 Nov 29. Nucleic Acids Res. 2013. PMID: 23203881 Free PMC article.
-
BRENDA: a resource for enzyme data and metabolic information.Trends Biochem Sci. 2002 Jan;27(1):54-6. doi: 10.1016/s0968-0004(01)02027-8. Trends Biochem Sci. 2002. PMID: 11796225 Review.
-
The BRENDA enzyme information system-From a database to an expert system.J Biotechnol. 2017 Nov 10;261:194-206. doi: 10.1016/j.jbiotec.2017.04.020. Epub 2017 Apr 21. J Biotechnol. 2017. PMID: 28438579 Review.
Cited by
-
Application of artificial intelligence approaches to predict the metabolism of xenobiotic molecules by human gut microbiome.Front Microbiol. 2023 Dec 5;14:1254073. doi: 10.3389/fmicb.2023.1254073. eCollection 2023. Front Microbiol. 2023. PMID: 38116528 Free PMC article. Review.
-
UniKP: a unified framework for the prediction of enzyme kinetic parameters.Nat Commun. 2023 Dec 11;14(1):8211. doi: 10.1038/s41467-023-44113-1. Nat Commun. 2023. PMID: 38081905 Free PMC article.
-
Enzyme Databases in the Era of Omics and Artificial Intelligence.Int J Mol Sci. 2023 Nov 29;24(23):16918. doi: 10.3390/ijms242316918. Int J Mol Sci. 2023. PMID: 38069254 Free PMC article. Review.
-
Kinetic modelling of β-cell metabolism reveals control points in the insulin-regulating pyruvate cycling pathways.IET Syst Biol. 2023 Dec;17(6):303-315. doi: 10.1049/syb2.12077. Epub 2023 Nov 8. IET Syst Biol. 2023. PMID: 37938890 Free PMC article.
-
Strategies for Overcoming the Single-Molecule Concentration Barrier.ACS Meas Sci Au. 2023 May 9;3(4):239-257. doi: 10.1021/acsmeasuresciau.3c00002. eCollection 2023 Aug 16. ACS Meas Sci Au. 2023. PMID: 37600457 Free PMC article. Review.
References
-
- Schomburg D, Schomburg I. Springer Handbook of Enzymes. 2nd edn. Heidelberg, Germany: Springer; 2001–2009.
-
- Schomburg I, Hofmann O, Baensch C, Chang A, Schomburg D. Enzyme data and metabolic information: BRENDA, a resource for research in biology, biochemistry, and medicine. Gene Funct. Dis. 2000;3–4:109–118.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources