Structural modeling and dynamic evolution analysis of hypoxia response networks / 军事医学

ABSTRACT

Objective To construct an executable model of a hypoxia response network (HRN) and to analyze the dynamic evolution mechanism of an HRN including randomness as well as concurrency based on computer simulation. Methods Specific evolution rules and Gillespie algorithm were adoped to study the dynamic evolution of the structural model based on the construction of a structural model of an HRN using stochastic Petri net ( SPN ) .Results Dynamic evolution laws of an HRN were obtained and the simulation results were consistent with laboratory results in response to descript switch-like behavior of an HRN .Conclusion A visualization model of the HRN can be achieved using SPN method.Simulation results achieved by executing the model based on stochastic simulation using specific kinetic parameters can serve as a nice complement to traditional laboratory results , which can help shed light on the structure and function characteristics of an HRN.