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. EdinburghTianjin Joint Research Centre for Systems Biology and Synthetic Biology, Tianjin University
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.
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, 2013,30(3): 71-79
2013, Vol. 30 
