机构地区: 广东药学院生命科学与生物制药学院
出 处: 《生物医学工程学杂志》 2010年第3期505-510,共6页
摘 要: p53是重要的肿瘤抑制基因,其作为转录因子在整个依赖于p53的基因调控网络中起着枢纽作用。因此,从系统水平上理解p53的生物学功能显得尤为重要。根据数据库KEGG及相关中英文文献,提取p53信号转导各条途径相关分子作用的方式及数量关系,利用S-系统方程并基于Matlab7.0的Simulink工具箱构建了p53信号途径的动力学模型,并通过模型仿真简要分析了p53信号途径各分子间的动态调控过程。模型仿真结果与文献符合得较好,能够从数量上反映p53信号转导途径中各分子间复杂的调控关系,并能通过模型仿真发现和验证该信号途径中的关键节点分子,可以作为后续的精确定量关系研究的基础。 p53,as a transcription factor,is an important tumor suppressor gene and plays the key role in the p53-dependent gene regulatory network. Therefore,it is important to understand its biological function at the level of the whole system. In this paper,based on KEGG database and related literatures in English and Chinese,the interaction mode and quantitative relationship of the related molecules involved in p53 signaling pathway were extracted. By using S-system equations and 'Simulink' toolbox of Matlab7.0,a dynamic model of p53 signaling pathway was developed,and the dynamic regulatory characteristics of p53 signaling pathway were analyzed on model simulation. The results were in accord with the literatures and could reflect quantitatively the complex regulatory relationship between the interacting molecules involved in p53 signaling pathway. In addition,model simulation helped us find and identify the key molecules in this signaling pathway. Thus,this model can be used as a basis for the follow-up study of the relationship by precise and quantitative assessment.