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ID: 13789.0, MPI für Dynamik komplexer technischer Systeme / Systems Biology
Combinatorial complexity of pathway analysis in metabolic networks
Authors:Klamt, S.; Stelling, J.
Language:English
Date of Publication (YYYY-MM-DD):2002
Title of Journal:Molecular Biology Reports
Journal Abbrev.:Mol. Biol. Rep.
Volume:29
Issue / Number:1-2
Start Page:233
End Page:236
Review Status:Peer-review
Audience:Experts Only
Abstract / Description: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.
Free Keywords:combinatorial complexity in metabolic networks; elementary flux modes; metabolic pathway analysis; structural network analysis
External Publication Status:published
Document Type:Article
Communicated by:Ernst-Dieter Gilles
Affiliations:MPI für Dynamik komplexer technischer Systeme/Systems Biology
Identifiers:ISI:000177948100045
ISSN:0301-4851
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