Graph-Based Analysis of Metabolic Networks View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002

AUTHORS

J. van Helden , L. Wernisch , D. Gilbert , S. J. Wodak

ABSTRACT

Metabolic pathways have been characterised for many decades by biochemists on the basis of analyses of a few selected model organisms (Cohen 1994). Enzyme-coding genes have been identified by genetic approaches, cloned, and sequenced; thousands of enzymes have been purified, and their mode of action, including substrates and inhibitors, has been investigated experimentally (Fersht 1985). Until relatively recently, this enormous body of knowledge has been archived primarily in the scientific literature. In the last 10 years, however, efforts have been made to store it in electronic form in a variety of databases. Those include some of the main resources for information on protein function such as SWISS-PROT (Bairoch and Apweiler 2000) and more specialised databases such as KEGG (Goto et al. 2000), EMP/WIT (Overbeek et al. 2000), Ecocyc (Karp et al. 1996; Karp et al. 2000) and the enzyme resource BRENDA (Schomburg et al. 1990–1995). More... »

PAGES

245-274

Book

TITLE

Bioinformatics and Genome Analysis

ISBN

978-3-662-04749-1
978-3-662-04747-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-04747-7_12

DOI

http://dx.doi.org/10.1007/978-3-662-04747-7_12

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046945852


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