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PMID: 21062828 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

BRENDA, the enzyme information system in 2011.

Nucleic acids research ·Vol. 39 ·No. Database issue ·2011-01-00 ·Pages D670-6

Scheer M, Grote A, Chang A, Schomburg I, Munaretto C, Rother M, Söhngen C, Stelzer M, Thiele J, Schomburg D

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.

MeSH Terms
Databases, Protein Enzymes/chemistry,genetics,metabolism Ligands Metabolic Networks and Pathways Protein Conformation Software
Chemicals
Enzymes Ligands
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Scheer Maurice
Department for Bioinformatics and Biochemistry, Technische Universität Braunschweig, Langer Kamp 19 B, 38106 Braunschweig, Germany.
Grote Andreas
Chang Antje
Schomburg Ida
Munaretto Cornelia
Rother Michael
Söhngen Carola
Stelzer Michael
Thiele Juliane
Schomburg Dietmar
References (7)
7 references, click to expand
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2011-01-00
Epub
2010-00-09
Pages
D670-6
Language
English
Region
England
NLM ID
0411011
PMCID
PMC3013686
Subset
IM
Analysis Services
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