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PMID: 12765837 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S. Review

Metabolic pathways in the post-genome era.

Trends in biochemical sciences ·Vol. 28 ·No. 5 ·2003-05-00 ·Pages 250-8

Papin JA, Price ND, Wiback SJ, Fell DA, Palsson BO

Abstract

Metabolic pathways are a central paradigm in biology. Historically, they have been defined on the basis of their step-by-step discovery. However, the genome-scale metabolic networks now being reconstructed from annotation of genome sequences demand new network-based definitions of pathways to facilitate analysis of their capabilities and functions, such as metabolic versatility and robustness, and optimal growth rates. This demand has led to the development of a new mathematically based analysis of complex, metabolic networks that enumerates all their unique pathways that take into account all requirements for cofactors and byproducts. Applications include the design of engineered biological systems, the generation of testable hypotheses regarding network structure and function, and the elucidation of properties that can not be described by simple descriptions of individual components (such as product yield, network robustness, correlated reactions and predictions of minimal media). Recently, these properties have also been studied in genome-scale networks. Thus, network-based pathways are emerging as an important paradigm for analysis of biological systems.

MeSH Terms
Biochemistry/methods,trends Computational Biology/methods,trends Genomics Metabolism Models, Biological
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Papin Jason A
Department of Bioengineering, University of California, San Diego, La Jolla 92093-0412, USA.
Price Nathan D
Wiback Sharon J
Fell David A
Palsson Bernhard O
Article Info
Journal
Trends in biochemical sciences
Abbr.
Trends Biochem Sci
ISSN
0968-0004
Published
2003-05-00
Pages
250-8
Language
English
Region
England
NLM ID
7610674
Subset
IM
Grants
Biotechnology and Biological Sciences Research Council · E14591 · United Kingdom
NIGMS NIH HHS · GM 57089 · United States
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