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Chemcial Industry and Engineering 2013, Vol. 30 Issue (3) :71-79    DOI:
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Development and Application of Flux Balance Analysis Methods for Large-Scale Metabolic Networks
 LI  Hui1,2,4, MA  Hong-Wu3,4, HAO  Tong1,2,4
1.School of Chemical Engineering and Technology, Tianjin University; 2.Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University;3.School of Informatics, University of Edinburgh, 10 Crichton Street; 4. EdinburghTianjin Joint Research Centre for Systems Biology and Synthetic Biology, Tianjin University

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Abstract The availability and utility of large-scale metabolic networks for analyzing the internal complicated mechanism of organisms have been explored for years. Algorithms that analyze large-scale metabolic network have been published a lot. Among all the available algorithms, flux balance analysis (FBA) is proved to be an effective approach to give quantitative prediction of genome-scale biological networks and used in most of the analysis. In this review, we summarized the recent advances of FBA, including typical FBA and extended FBA. Then stand-alone software and on-line tools that apply FBA to mathematically modeling large microbial networks are introduced. The advantages as well as weaknesses are further compared for better use of these tools. The problems and perspectives of the algorithm and software used in the metabolic network analysis are also discussed for further development.
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Articles by authors
LI Hui
MA Hong-Wu
HAO Tong
Keywordslarge-scale metabolic network   flux balance analysis   algorithm   software     
Received 2012-05-10;
Fund:

国家自然科学基金项目(NSFC21106095,NSFC20806055, NSFC20875068);国家重点基础研究项目(2011CBA00804);博士后科学基金项目(2011M500512)。

Corresponding Authors: 郝彤,电话:(022)27406770,E-mail:haotong@tju.edu.cn。     Email: haotong@tju.edu.cn
About author: 李慧(1987-),女,硕士研究生,现从事生物化工模拟的研究。
Cite this article:   
LI Hui, MA Hong-Wu, HAO Tong.Development and Application of Flux Balance Analysis Methods for Large-Scale Metabolic Networks[J]  Chemcial Industry and Engineering, 2013,V30(3): 71-79
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