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一类信号转导通路模型参数辨识中最小应测量状态的确定
  • ISSN号：1001-9626
  • 期刊名称：《生物数学学报》
  • 时间：0
  • 分类：Q-0[生物学]
  • 作者机构：[1]中国科学院自动化研究所,北京100080
  • 相关基金：国家自然科学基金资助（60472065;60534010;30770560）
作者： 刘太元[1], 贾建芳[1], 王宏[1], 岳红[1], 郭欣兰[1]
关键词： 系统生物学, 参数估计, 参数可辨识性, 测量数据集合, 信号转导通路, Systems biology, Parameter estimation, Identifiability, Measurements, NF-κB singling pathway
中文摘要：

建立信号转导通路的数学模型是系统生物学的一个重要目标．但是信号转导通路本身的复杂结构及其所表现出的强非线性特征，使得对该类模型的参数辨识十分困难．参数辨识所需要的测量数据的选择对于辨识结果有重要影响．本文研究了一类信号转导通路模型参数辨识中最小应测量状态的计算问题．给出了用于确定该最小应测量状态的目标函数，通过对目标函数进行简单的运算，确定了用来估计未知参数的最小应测量状态的数量，同时给出了一种计算系统状态对应于未知参数的敏感性系统曲线的新方法．以TNFα诱导的NF-κB信号转导通路为例进行了仿真研究，并给出了仿真结果．

英文摘要：

One task of systems biology is to estimate unknown parameters of signal transduction pathways, which is very difficult because of the strong nonlinearity and complex structure of the signaling pathways. Measurements have great affection on the parameter estimation, so it is important to determine minimum states we should measure in order to estimate unknown parameters more exactly. This work develops a new method to deal with this problem, and based on this method, a new computation of sensitivity coefficient matrix is deduced. To illustrate its effectiveness, the TNF a mediated NF-κB signal transduction pathway is taken as an example. The simulation results are encouraging.

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期刊信息
  • 《生物数学学报》
  • 北大核心期刊（2008版）
  • 主管单位:中国数学会
  • 主办单位:中国数学会生物数学学会
  • 主编：陈兰荪
  • 地址：辽宁省鞍山师范学院158号
  • 邮编：114007
  • 邮箱：smbjbm@tom.com
  • 电话：0412-2960893
  • 国际标准刊号：ISSN：1001-9626
  • 国内统一刊号：ISSN：34-1071/O1
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 美国数学评论（网络版）,德国数学文摘,日本日本科学技术振兴机构数据库,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）
  • 被引量:5686