Article information

2016 , Volume 21, ¹ 2, p.12-25

Voropaeva O.F., Kozlova A.O., Senotrusova S.D.

Numerical analysis of the transition from the equation with retarded argument to the ODE system in a mathematical model of the tumor markers network

The p53 protein (tumor necrosis factor) involved in many life and death processes is expressed in all cells of the organism including the formation of tumors and aging. Mdm2 protein is considered to be the key negative p53 regulator. The investigation of the mechanism of p53 and Mdm2 interaction is paramount for developing new approaches to cancer treatment and determining the prevention strategy for many diseases.

This paper is devoted to a development of the effective numerical technology for solution of a system of equations describing the dynamics of the p53-Mdm2 network. We consider two interrelated mathematical models of the p53-Mdm2 network. The first model of the proteins concentrations dynamics includes the system of two nonlinear differential equations with the retarded argument. The second model describes hypothetical stages of process and uses the simplest ODE system of sufficiently higher dimension. We numerically show that in the transition to the limit in which the second model has sufficiently many stages, we obtain model based equation with retarded argument. We examined the specific conditions of the numerical realization of this transition.

[full text]
Keywords: numerical analysis, equation with retarded argument, tumor marker, p53-Mdm2 network

Author(s):
Voropaeva Olga Falaleevna
Dr.
Position: Leading research officer
Office: Federal Research Centerfor Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, ac. Lavrentyev Avenue, 6
Phone Office: (383) 330-85-70
E-mail: vorop@ict.nsc.ru
SPIN-code: 6550-0849

Kozlova Alina Olegovna
Position: Student
Address: 630090, Russia, Novosibirsk, ac. Lavrentyev Avenue, 6
E-mail: lnkzlv1@gmail.com

Senotrusova Sofya Dmitrievna
Position: Junior Research Scientist
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, Academician M.A. Lavrentiev avenue, 6
E-mail: senotrusova.s@mail.ru
SPIN-code: 2066-6054

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Bibliography link:
Voropaeva O.F., Kozlova A.O., Senotrusova S.D. Numerical analysis of the transition from the equation with retarded argument to the ODE system in a mathematical model of the tumor markers network // Computational technologies. 2016. V. 21. ¹ 2. P. 12-25
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