Literature DB >> 11752250

BRENDA, enzyme data and metabolic information.

Ida Schomburg1, Antje Chang, Dietmar Schomburg.   

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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Year:  2002        PMID: 11752250      PMCID: PMC99121          DOI: 10.1093/nar/30.1.47

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  1 in total

1.  Database resources of the National Center for Biotechnology Information.

Authors:  D L Wheeler; D M Church; A E Lash; D D Leipe; T L Madden; J U Pontius; G D Schuler; L M Schriml; T A Tatusova; L Wagner; B A Rapp
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

  1 in total
  128 in total

1.  Enzyme-specific profiles for genome annotation: PRIAM.

Authors:  Clotilde Claudel-Renard; Claude Chevalet; Thomas Faraut; Daniel Kahn
Journal:  Nucleic Acids Res       Date:  2003-11-15       Impact factor: 16.971

2.  BRENDA, the enzyme database: updates and major new developments.

Authors:  Ida Schomburg; Antje Chang; Christian Ebeling; Marion Gremse; Christian Heldt; Gregor Huhn; Dietmar Schomburg
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

3.  The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data.

Authors:  Craig T Porter; Gail J Bartlett; Janet M Thornton
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  IntEnz, the integrated relational enzyme database.

Authors:  Astrid Fleischmann; Michael Darsow; Kirill Degtyarenko; Wolfgang Fleischmann; Sinéad Boyce; Kristian B Axelsen; Amos Bairoch; Dietmar Schomburg; Keith F Tipton; Rolf Apweiler
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  SVM-Prot: Web-based support vector machine software for functional classification of a protein from its primary sequence.

Authors:  C Z Cai; L Y Han; Z L Ji; X Chen; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

6.  Text mining neuroscience journal articles to populate neuroscience databases.

Authors:  Chiquito J Crasto; Luis N Marenco; Michele Migliore; Buqing Mao; Prakash M Nadkarni; Perry Miller; Gordon M Shepherd
Journal:  Neuroinformatics       Date:  2003

7.  LEON: multiple aLignment Evaluation Of Neighbours.

Authors:  Julie D Thompson; Véronique Prigent; Olivier Poch
Journal:  Nucleic Acids Res       Date:  2004-02-24       Impact factor: 16.971

8.  Exploring the gap between dynamic and constraint-based models of metabolism.

Authors:  Daniel Machado; Rafael S Costa; Eugénio C Ferreira; Isabel Rocha; Bruce Tidor
Journal:  Metab Eng       Date:  2012-01-28       Impact factor: 9.783

9.  Expanding metabolic networks: scopes of compounds, robustness, and evolution.

Authors:  Thomas Handorf; Oliver Ebenhöh; Reinhart Heinrich
Journal:  J Mol Evol       Date:  2005-09-12       Impact factor: 2.395

10.  Formal TCA cycle description based on elementary actions.

Authors:  Pierre Maziere; Nicolas Parisey; Marie Beurton-Aimar; Franck Molina
Journal:  J Biosci       Date:  2007-01       Impact factor: 1.826

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