FB2026_03 , released September 17, 2026
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Chen, Z., Li, J., Zhang, R., You, X. (2015). Exponentially Fitted Two-Derivative Runge-Kutta Methods for Simulation of Oscillatory Genetic Regulatory Systems.  Comput. Math. Methods Med. 2015(): 689137.
FlyBase ID
FBrf0230295
Publication Type
Research paper
Abstract
Oscillation is one of the most important phenomena in the chemical reaction systems in living cells. The general purpose simulation algorithms fail to take into account this special character and produce unsatisfying results. In order to enhance the accuracy of the integrator, the second-order derivative is incorporated in the scheme. The oscillatory feature of the solution is captured by the integrators with an exponential fitting property. Three practical exponentially fitted TDRK (EFTDRK) methods are derived. To test the effectiveness of the new EFTDRK methods, the two-gene system with cross-regulation and the circadian oscillation of the period protein in Drosophila are simulated. Each EFTDRK method has the best fitting frequency which minimizes the global error. The numerical results show that the new EFTDRK methods are more accurate and more efficient than their prototype TDRK methods or RK methods of the same order and the traditional exponentially fitted RK method in the literature.
PubMed ID
PubMed Central ID
PMC4645493 (PMC) (EuropePMC)
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Comput. Math. Methods Med.
    Title
    Computational and mathematical methods in medicine
    ISBN/ISSN
    1748-670X 1748-6718
    Data From Reference
    Genes (1)