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源自TransPath数据库的激酶网络的结构与动力学分析

Structural and dynamical analyses of the kinase network derived from the transpath database.

作者信息

Binder Bernd, Heinrich Reinhart

机构信息

Theoretical Biophysics, Institute of Biology, Humboldt University Berlin, Berlin, Germany.

出版信息

Genome Inform. 2005;16(1):164-73.

Abstract

We analyze the structural design and the dynamical properties of a protein kinase network derived from the Transpath database. We consider structural properties, such as feedback cycles, pathway lengths, fraction of shortest pathways and crosstalk. Dynamic characteristics of the network are analyzed by using nonlinear differential equations with a special focus on kinase amplitudes and signal propagation times. Comparison with random networks shows that the cellular kinase network exhibits special features which might be a result of natural selection. In particular, the Transpath network contains no cycles, and input kinases and output kinases are generally connected by shortest signalling routes. Moreover, it displays a characteristic spectrum of cross-talk between different pathways.

摘要

我们分析了源自Transpath数据库的蛋白质激酶网络的结构设计和动力学特性。我们考虑了诸如反馈循环、信号通路长度、最短信号通路比例和串扰等结构特性。通过使用非线性微分方程来分析网络的动态特性,特别关注激酶振幅和信号传播时间。与随机网络的比较表明,细胞激酶网络呈现出一些特殊特征,这可能是自然选择的结果。具体而言,Transpath网络不包含循环,输入激酶和输出激酶通常通过最短的信号传导途径相连。此外,它还展示了不同信号通路之间串扰的特征频谱。

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