点击次数：

论文类型：期刊论文

发表时间：2020-03-01

发表刊物：JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION

收录刊物：SCIE

卷号：16

期号：2

页面范围：579-599

ISSN号：1547-5816

关键字：Pathway identification; nonlinear hybrid dynamical system; robustness analysis; parameter identification; continuous culture; parallel optimization

摘要：In this paper, we present a framework to infer the possible transmembrane transport of intracellular substances. Considering four key enzymes, a modified fourteen-dimensional nonlinear hybrid dynamic system is established to describe the microbial continuous culture with enzyme-catalytic and genetic regulation. A novel quantitative definition of biological robustness is proposed to characterize the system's resilience when system parameters were perturbed. It not only considers the expectation of system output data after parameter disturbance but also considers the influence of the variance of these data. In this way, the definition can be used as an objective function of the system identification model due to the lack of data on the concentration of intracellular substances. Then, we design a parallel computing method to solve the system identification model. Numerical results indicate that the most likely transmembrane mode of transport is active transport coupling with passive diffusion for glycerol and 1,3-propanediol.