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稳健的网络时钟:作为复杂组合优化问题的遗传振荡器设计

Robust network clocks: design of genetic oscillators as a complex combinatorial optimization problem.

作者信息

Kobayashi Yasuaki, Shibata Tatsuo, Kuramoto Yoshiki, Mikhailov Alexander S

机构信息

Department of Physical Chemistry, Fritz Haber Institute of the Max Planck Society, Berlin, Germany.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Jun;83(6 Pt 1):060901. doi: 10.1103/PhysRevE.83.060901. Epub 2011 Jun 3.

Abstract

Complex combinatorial optimization can be used to design network systems having desired dynamics and that are robust against structural perturbations. Here genetic networks exhibiting limit-cycle oscillations with prescribed periods and, furthermore, that are robust against the deletion of links and nodes or the application of noise are constructed. Large ensembles of robust genetic clocks with different periods could thus be obtained, and some of their statistical properties have been investigated. Similar methods can be used to design robust network oscillators of various origins.

摘要

复杂的组合优化可用于设计具有所需动态特性且对结构扰动具有鲁棒性的网络系统。在此构建了具有规定周期的极限环振荡且对链路和节点的删除或噪声的施加具有鲁棒性的遗传网络。由此可以获得大量具有不同周期的鲁棒遗传时钟,并且已经研究了它们的一些统计特性。类似的方法可用于设计各种来源的鲁棒网络振荡器。

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