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Indexed by:期刊论文

Date of Publication:2009-02-23

Journal:Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

Included Journals:EI、CPCI-S、SCIE、Scopus

Volume:4 LNICST

Issue:PART 1

Page Number:446-457

ISSN No.:3642024653

Key Words:Metabolic network inference; Biological robustness; Transport across cell membrane; Parameter identification

Abstract:Glycerol bioconversion to 1,3-propanediol (1,3-PD) by Klebsiella pneumoniae (K. pneumoniae) can be characterized by an intricate network of interactions among biochemical fluxes, metabolic compounds, key enzymes and genetic regulatory. To date, there still exist some uncertain factors in this complex network because of the limitation in biotechniques, especially in measuring techniques for intracellular substances. In this paper, among these uncertain factors, we aim to infer the transport mechanisms of glycerol and 1,3-PD across the cell membrane, which have received intensive interest in recent years. On the basis of different inferences of the transport mechanisms, we reconstruct various metabolic networks correspondingly and subsequently develop their dynamical systems (S-systems). To determine the most reasonable metabolic network from all possible ones, we establish a quantitative definition of biological robustness and undertake parameter identification and robustness analysis for each system. Numerical results show that it is most possible that both glycerol and 1,3-PD pass the cell membrane by active transport and passive diffusion. © 2009 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.