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  Combinatorial complexity of pathway analysis in metabolic networks

Klamt, S., & Stelling, J. (2002). Combinatorial complexity of pathway analysis in metabolic networks. Molecular Biology Reports, 29(1-2), 233-236. doi:10.1023/A:1020390132244.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-A0BF-8 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-F48F-6
Genre: Journal Article
Alternative Title : Mol. Biol. Rep.

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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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Free keywords: combinatorial complexity in metabolic networks; elementary flux modes; metabolic pathway analysis; structural network analysis
 Abstract: Elementary flux mode analysis is a promising approach for a pathway-oriented perspective of metabolic networks. However, in larger networks it is hampered by the combinatorial explosion of possible routes. In this work we give some estimations on the combinatorial complexity including theoretical upper bounds for the number of elementary flux modes in a network of a given size. In a case study, we computed the elementary modes in the central metabolism of Escherichia coli while utilizing four different substrates. Interestingly, although the number of modes occurring in this complex network can exceed half a million, it is still far below the upper bound. Hence, to a certain extent, pathway analysis of central catabolism is feasible to assess network properties such as flexibility and functionality. © Copyright 2008 Elsevier B.V., All rights reserved. [accessed 2013 June 13th]

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Language(s): eng - English
 Dates: 2002
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1023/A:1020390132244
eDoc: 13789
 Degree: -

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Title: Molecular Biology Reports
  Alternative Title : Mol. Biol. Rep.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 29 (1-2) Sequence Number: - Start / End Page: 233 - 236 Identifier: ISSN: 0301-4851