Inverse Aspect of Optimization for Dynamic Biological Pathway

The constructed gene regulatory networks from the time-courses dataset are always highly nonlinear differential equations. Mathematical modeling and dynamic simulation of genetic networks focus on efficiently identifying parameters of nonlinear dynamic biological systems. So a global optimization method is necessary for this. And the trade-off between accuracy, reliability and computation time is important. In this study, an integrated technology is proposed for achieving global optimal search with low computation cost. We use three dry-lab biological systems to examine the proposed technology.