Mechanisms and topology determination of complex chemical and biological network systems from first-passage theoretical approach
Mechanisms and topology determination of complex chemical and biological network systems from first-passage theoretical approach
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DOI：
10.1063/1.4824392
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发表时间：
2013-10-14
影响因子：
4.4
通讯作者：
Kolomeisky, Anatoly B.
中科院分区：
文献类型：
--
作者：
Li, Xin;Kolomeisky, Anatoly B.
大多数化学和生物过程可以被视为由动态转换连接的复杂状态网络。确定这些网络的结构对于充分理解基本过程的机制至关重要。提出了一种利用首次穿越分析获得复杂网络拓扑结构和动态特性的新方法。我们的方法是基于一个假设，即两个任意状态之间的事件的完整的时间分布包含充分的信息，中间状态，路径和过渡，位于初始和最终状态之间的数量。几种类型的网络系统进行了分析和数值计算。结果表明，该方法在确定结构和动力学性质方面是成功的，为获得一般化学网络系统的拓扑结构和机理提供了一种直接的方法。该方法的应用说明马达蛋白系统的实验研究的两个例子。(C)2013 AIP Publishing LLC.
The majority of chemical and biological processes can be viewed as complex networks of states connected by dynamic transitions. It is fundamentally important to determine the structure of these networks in order to fully understand the mechanisms of underlying processes. A new theoretical method of obtaining topologies and dynamic properties of complex networks, which utilizes a first-passage analysis, is developed. Our approach is based on a hypothesis that full temporal distributions of events between two arbitrary states contain full information on number of intermediate states, pathways, and transitions that lie between initial and final states. Several types of network systems are analyzed analytically and numerically. It is found that the approach is successful in determining structural and dynamic properties, providing a direct way of getting topology and mechanisms of general chemical network systems. The application of the method is illustrated on two examples of experimental studies of motor protein systems. (C) 2013 AIP Publishing LLC.