Analyzing the core of E. coli metabolism with flux balance

Author

De-Wu, Ding ; Xiao-Qing, He

Author_Institution

Dept. of Math. & Comput. Sci., Chizhou Coll., Chizhou, China

Volume

1

fYear

2010

fDate

13-14 Sept. 2010

Firstpage

195

Lastpage

197

Abstract

With the increasing number of genome-scale metabolic networks reconstructed, computational methods are increasingly important in investigation of the networks. Due to it only needs topology and stoichiometry informations, flux balance method has attracted so much attention nowadays. The present paper studied optimal growth rates, optimal flux distributions and gene deletion simulation for the core of E. coli metabolism (iAF1260 model) based on the method. The results could be used in E. coli metabolic engineering.

Keywords

biochemistry; biocybernetics; bioinformatics; cellular biophysics; microorganisms; molecular biophysics; network topology; Escherichia coli metabolism core; computational methods; flux balance method; gene deletion simulation; genome scale metabolic networks; iAF1260 model; optimal flux distribution; optimal growth rate; stoichiometry information; topology information; Analytical models; Bioinformatics; Biological system modeling; Computational modeling; Genomics; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7705-0

Type

conf

DOI

10.1109/CINC.2010.5643859

Filename

5643859