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An Approach to Modeling Artificial Gene Networks

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Abstract

We propose a new mathematical model of a repressilator, i.e., the simplest gene ring network consisting of three elements. The studied model is a three-dimensional system of ordinary differential equations depending on a single parameter. We study the existence and stability problems for relaxation periodic motion in this system.

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References

  1. M. B. Elowitz and S. Leibler, “A synthetic oscillatory network of transcriptional regulators,” Nature, 403, 335–338 (2000).

    Article  ADS  Google Scholar 

  2. A. N. Tikhonov, “Systems of differential equations containing small parameters in the derivatives,” Mat. Sb., n.s., 31(73), 575–586 (1952).

    MathSciNet  Google Scholar 

  3. E. P. Volokitin, “On limit cycles in the simplest model of a hypothetical gene network [in Russian],” Sib. Zh. Ind. Mat., 7, No. 3, 57–65 (2004).

    MATH  Google Scholar 

  4. O. Bu¸se, A. Kuznetsov, and R. A. Pérez, “Existence of limit cycles in the repressilator equations,” Internat. J. Bifurcation Chaos, 19, 4097–4106 (2009).

    Article  ADS  MathSciNet  MATH  Google Scholar 

  5. O. Bu¸se, R. Pérez, and A. Kuznetsov, “Dynamical properties of the repressilator model,” Phys. Rev. E, 81, 066206 (2010).

    Article  ADS  MathSciNet  Google Scholar 

  6. V. A. Likhoshvai, Yu. G. Matushkin, and S. I. Fadeev, “Problems in the theory of the functioning of genetic networks [in Russian],” Sib. Zh. Ind. Mat., 6, No. 2, 64–80 (2003).

    Google Scholar 

  7. G. V. Demidenko, N. A. Kolchanov, V. A. Likhoshvai, Yu. G. Matushkin, and S. I. Fadeev, “Mathematical modeling of regular contours of gene networks,” Comput. Math. Math. Phys., 44, 2166–2183 (2004).

    MathSciNet  MATH  Google Scholar 

  8. S. I. Fadeev and V. A. Likhoshvai, “On hypothetical gene networks [in Russian],” Sib. Zh. Ind. Mat., 6, No. 3, 134–153 (2003).

    Google Scholar 

  9. A. Yu. Kolesov and Yu. S. Kolesov, “Relaxational oscillations in mathematical models of ecology,” Proc. Steklov Math. Inst., 199, 1–126 (1995).

    MATH  Google Scholar 

  10. A. B. Vasil’eva and V. F. Butuzov, Asymptotic Expansions of the Solutions of Singularly Perturbed Equations [in Russian], Nauka, Moscow (1973).

    MATH  Google Scholar 

  11. E. F. Mishchenko, V. A. Sadovnichii, A. Yu. Kolesov, and N. Kh. Rozov, Multifaceted Chaos [in Russian], Fizmatlit, Moscow (2012).

    Google Scholar 

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Correspondence to S. D. Glyzin.

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Glyzin, S.D., Kolesov, A.Y. & Rozov, N.K. An Approach to Modeling Artificial Gene Networks. Theor Math Phys 194, 471–490 (2018). https://doi.org/10.1134/S0040577918030121

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  • DOI: https://doi.org/10.1134/S0040577918030121

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