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  Computing knock-out strategies in metabolic networks

Haus, U.-U., Klamt, S., & Stephen, T. (2008). Computing knock-out strategies in metabolic networks. Journal of Computational Biology, 15(3), 259-268. doi:10.1089/cmb.2007.0229.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9637-B Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-4BDD-5
Genre: Journal Article

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 Creators:
Haus, U.-U.1, Author
Klamt, S.2, Author              
Stephen, T.3, Author
Affiliations:
1Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
2Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              
3Simon Fraser University, Department of Mathematics, BC, Canada, ou_persistent22              

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 Abstract: Given a metabolic network in terms of its metabolites and reactions, our goal is to efficiently compute the minimal knock-out sets of reactions required to block a given behavior. We describe an algorithm that improves the computation of these knock-out sets when the elementary modes (minimal functional subsystems) of the network are given. We also describe an algorithm that computes both the knock-out sets and the elementary modes containing the blocked reactions directly from the description of the network and whose worst-case computational complexity is better than the algorithms currently in use for these problems. Computational results are included. Copyright © Mary Ann Liebert, Inc. [accessed July 1, 2008]

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Language(s): eng - English
 Dates: 2008
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1089/cmb.2007.0229
eDoc: 363012
Other: 27/08
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Title: Journal of Computational Biology
Source Genre: Journal
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Pages: - Volume / Issue: 15 (3) Sequence Number: - Start / End Page: 259 - 268 Identifier: -