A Compositional Approach to the Stochastic Dynamics of Gene Networks

A Compositional Approach to the Stochastic Dynamics of Gene Networks
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基因网络随机动力学的组合方法

DOI:
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发表时间:
2005
期刊:
International Conference on Concurrency Theory
影响因子:
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通讯作者:
L. Cardelli
L. Cardelli
中科院分区:
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文献类型:
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作者:
L. Cardelli

文献摘要

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我们提出了一种基于随机π-演算的基因调控网络动力学的组合方法,并开发了一种基因网络元素的表示方法,该方法可以用于以透明和有效的方式构建复杂的电路。为了证明该方法的强大功能,我们将其应用于几个人工网络,例如在遗传网络的组合合成中首次研究的阻遏子和组合基因电路[GEHL 2002]。对于后者系统的两个例子,我们指出如何电路的拓扑结构和随机门相互作用的相互作用影响电路的行为。我们的方法可能是有用的生物机制的测试提出解释实验观察到的电路动态。
We propose a compositional approach to the dynamics of gene regulatory networks based on the stochastic π-calculus, and develop a representation of gene network elements which can be used to build complex circuits in a transparent and efficient way. To demonstrate the power of the approach we apply it to several artificial networks, such as the repressilator and combinatorial gene circuits first studied in Combinatorial Synthesis of Genetic Networks [GEHL2002]. For two examples of the latter systems, we point out how the topology of the circuits and the interplay of the stochastic gate interactions influence the circuit behavior. Our approach may be useful for the testing of biological mechanisms proposed to explain the experimentally observed circuit dynamics.