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  Two approaches for metabolic pathway analysis?

Klamt, S., & Stelling, J. (2003). Two approaches for metabolic pathway analysis? Trends in Biotechnology, 21(2), 64-69. doi:10.1016/S0167-7799(02)00034-3.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9F79-D Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-BDE7-2
Genre: Journal Article
Alternative Title : Trends Biotechnol.

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 Creators:
Klamt, S.1, Author              
Stelling, J.1, Author              
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              

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 Abstract: Metabolic pathway analysis is becoming increasingly important for assessing inherent network properties in (reconstructed) biochemical reaction networks. Of the two most promising concepts for pathway analysis, one relies on elementary flux modes and the other on extreme pathways. These concepts are closely related because extreme pathways are a subset of elementary modes. Here, the common features, differences and applicability of these concepts are discussed. Assessing metabolic systems by the set of extreme pathways can, in general, give misleading results owing to the exclusion of possibly important routes. However, in certain network topologies, the sets of elementary modes and extreme pathways coincide. This is quite often the case in realistic applications. In our opinion, the unification of both approaches into one common framework for metabolic pathway analysis is necessary and achievable. Copyright © 2013 Elsevier B.V. All rights reserved. [accessed 2013 June 13th]

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Language(s): eng - English
 Dates: 2003
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/S0167-7799(02)00034-3
eDoc: 13820
Other: 17/03
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Title: Trends in Biotechnology
  Alternative Title : Trends Biotechnol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 21 (2) Sequence Number: - Start / End Page: 64 - 69 Identifier: ISSN: 0167-7799