System identification and robustness analysis of the circadian regulatory network via arx stochastic interactive model

The circadian regulatory network is one of the main topics of plant investigations. The intracellular interactions among genes in response to the environmental stimuli of light are related to the foundation of functional genomics in plant. However, to determine what genes and how much they influence each other through transcriptional binding or physical interaction using biological assays is not easy. In this study, we detected the interactive relationships of genes in the circadian regulatory network via a systematically stochastic modeling analysis in silico. After the successful construction of the circadian regulatory network, we would analyze the stochastic system under different assumed biological conditions by performing dry experiments and discover the essential robustness (or sensitivity) characteristics of the circadian regulatory network by biological perturbations. In short, we can construct and analyze a genetic regulatory pathway of circadian network from the systems biology viewpoint.