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Comput Math Methods Med ; 2017: 2729683, 2017.
Article in English | MEDLINE | ID: mdl-28203268

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.


Subject(s)
Gene Regulatory Networks , Proto-Oncogene Proteins c-mdm2/genetics , Tumor Suppressor Protein p53/genetics , Algorithms , Computational Biology/methods , Computer Simulation , Humans , Models, Genetic , Numerical Analysis, Computer-Assisted , Protein Biosynthesis , RNA, Messenger/metabolism , Systems Biology , Transcription, Genetic
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