Literature DB >> 11796225

BRENDA: a resource for enzyme data and metabolic information.

Ida Schomburg1, Antje Chang, Oliver Hofmann, Christian Ebeling, Frank Ehrentreich, Dietmar Schomburg.   

Abstract

BRENDA (BRaunschweig ENzyme DAtabase), founded in 1987 by Dietmar Schomburg, is a comprehensive protein function database, containing enzymatic and metabolic information extracted from the primary literature. Presently, the database holds data on more than 40 000 enzymes and 4460 different organisms, and includes information about enzyme-ligand relationships with numerous chemical compounds. The collection of molecular and biochemical information in BRENDA provides a fundamental resource for research in biotechnology, pharmacology, medicinal diagnostics, enzyme mechanics, and metabolism. BRENDA is accessible free of charge to the academic community at http://www.brenda.uni-koeln.de/; commercial users need a license available from http://www.science-factory.com/

Mesh:

Substances:

Year:  2002        PMID: 11796225     DOI: 10.1016/s0968-0004(01)02027-8

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  53 in total

1.  Dynamic generation and qualitative analysis of metabolic pathways by a joint database/graph theoretical approach.

Authors:  F Ehrentreich; D Schomburg
Journal:  Funct Integr Genomics       Date:  2003-10-16       Impact factor: 3.410

2.  The metabolic world of Escherichia coli is not small.

Authors:  Masanori Arita
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-02       Impact factor: 11.205

3.  The aMAZE LightBench: a web interface to a relational database of cellular processes.

Authors:  Christian Lemer; Erick Antezana; Fabian Couche; Frédéric Fays; Xavier Santolaria; Rekin's Janky; Yves Deville; Jean Richelle; Shoshana J Wodak
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  Metabolic control analysis under uncertainty: framework development and case studies.

Authors:  Liqing Wang; Inanç Birol; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

5.  Analysis of membrane proteins in metagenomics: networks of correlated environmental features and protein families.

Authors:  Prianka V Patel; Tara A Gianoulis; Robert D Bjornson; Kevin Y Yip; Donald M Engelman; Mark B Gerstein
Journal:  Genome Res       Date:  2010-04-29       Impact factor: 9.043

6.  In silico modeling of pH-optimum of protein-protein binding.

Authors:  Rooplekha C Mitra; Zhe Zhang; Emil Alexov
Journal:  Proteins       Date:  2010-12-22

7.  Silencing of NADPH-dependent oxidoreductase genes (yqhD and dkgA) in furfural-resistant ethanologenic Escherichia coli.

Authors:  E N Miller; L R Jarboe; L P Yomano; S W York; K T Shanmugam; L O Ingram
Journal:  Appl Environ Microbiol       Date:  2009-05-08       Impact factor: 4.792

Review 8.  Web-queryable large-scale data sets for hypothesis generation in plant biology.

Authors:  Siobhan M Brady; Nicholas J Provart
Journal:  Plant Cell       Date:  2009-04-28       Impact factor: 11.277

9.  Group contribution method for thermodynamic analysis of complex metabolic networks.

Authors:  Matthew D Jankowski; Christopher S Henry; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2008-08       Impact factor: 4.033

10.  The B6 database: a tool for the description and classification of vitamin B6-dependent enzymatic activities and of the corresponding protein families.

Authors:  Riccardo Percudani; Alessio Peracchi
Journal:  BMC Bioinformatics       Date:  2009-09-01       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.