steady-state-preserving simulation of genetic regulatory systems

steady-state-preserving simulation of genetic regulatory systems

;Ruqiang Zhang;Julius Osato Ehigie;Xilin Hou;Xiong You;Chunlu Yuan
advanced functional materials 2017 Vol. 2017 pp. -
83
zhang2017computationalsteady-state-preserving

Abstract

A novel family of exponential Runge-Kutta (expRK) methods are designed incorporating the stable steady-state structure of genetic regulatory systems. A natural and convenient approach to constructing new expRK methods on the base of traditional RK methods is provided. In the numerical integration of the one-gene, two-gene, and p53-mdm2 regulatory systems, the new expRK methods are shown to be more accurate than their prototype RK methods. Moreover, for nonstiff genetic regulatory systems, the expRK methods are more efficient than some traditional exponential RK integrators in the scientific literature.

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ID: 202688
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202688
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10.1155/2017/2729683
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