低氧响应网络结构化建模与动态演化分析

摘要

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.%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。