Research Article
Modeling and Robustness Analysis of Biochemical Networks of Glycerol Metabolism by
@INPROCEEDINGS{10.1007/978-3-642-02466-5_44, author={Jianxiong Ye and Enmin Feng and Lei Wang and Zhilong Xiu and Yaqin Sun}, title={Modeling and Robustness Analysis of Biochemical Networks of Glycerol Metabolism by }, proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1}, proceedings_a={COMPLEX PART 1}, year={2012}, month={5}, keywords={Metabolic network inference Biological robustness Transport across cell membrane Parameter identification}, doi={10.1007/978-3-642-02466-5_44} }- Jianxiong Ye
Enmin Feng
Lei Wang
Zhilong Xiu
Yaqin Sun
Year: 2012
Modeling and Robustness Analysis of Biochemical Networks of Glycerol Metabolism by
COMPLEX PART 1
Springer
DOI: 10.1007/978-3-642-02466-5_44
Abstract
Glycerol bioconversion to 1,3-propanediol (1,3-PD) by () 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 bio-techniques, 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.