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目的构建低氧响应网络(HRN)的可执行模型,基于计算机进行仿真分析,研究HRN的随机性、并发性等动态演化机制。方法使用随机Petri网(SPN)构建HRN构模型,在此基础上基于具体的演化规则和Gillespie算法对该结构模型的动态演化进行分析。结果得到HRN的动态演化规律,在对HRN切换行为的描述上,仿真结果与实验室结果反映规律具有一致性。结论基于SPN方法可实现HRN的可视化建模,通过对模型的执行和基于给定动力学参数下的随机仿真,可得到与传统实验室实验研究相得益彰的分析结果,有助于进一步分析HRN的结构和功能特性。
Objective To construct the executable model of hypoxia response network (HRN), conduct simulation analysis based on computer and study the dynamic evolution mechanism of HRN such as randomness and concurrency. Methods The HRN model was constructed by using stochastic Petri nets (SPNs), and the dynamic evolution of the model was analyzed based on the evolution rule and Gillespie algorithm. The results obtained HRN dynamic evolution law, HRN switch behavior description, the simulation results and the laboratory results reflect the law of consistency. Conclusion Based on the SPN method, visual modeling of HRN can be realized. Through the implementation of the model and the stochastic simulation based on given kinetic parameters, the results of analysis which are mutually beneficial with the traditional laboratory experiments can be obtained, which is helpful to further analyze the structure of HRN And features.