非线性生化反应网络的数值模拟

IF 1 Q4 CHEMISTRY, MULTIDISCIPLINARY
Z. Zafar, Kashif Rehan, M. Mushtaq, M. Rafiq
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引用次数: 17

摘要

目前,数值模型在科学的各个领域,特别是在求解非线性微分方程、偏微分方程、生化反应等方面具有重要的作用。采用四阶龙格-库塔法(RK4)和非标准有限差分法(NSFD)模拟了碱性酶-底物反应中反应物浓度的总时间演化。针对生化反应问题,建立了NSFD模型,并对不同离散参数h值进行了数值实验。结果与RK4数值格式进行了比较。与RK4在大时间步长下失败不同,所开发的方案给出的结果收敛于任何时间步长的真实稳态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical modeling for nonlinear biochemical reaction networks
Nowadays, numerical models have great importance in every field of science, especially for solving the nonlinear differential equations, partial differential equations, biochemical reactions, etc. The total time evolution of the reactant concentrations in the basic enzyme-substrate reaction is simulated by the Runge-Kutta of order four (RK4) and by nonstandard finite difference (NSFD) method. A NSFD model has been constructed for the biochemical reaction problem and numerical experiments are performed for different values of discretization parameter ‘h’. The results are compared with the well-known numerical scheme, i.e. RK4. Unlike RK4 which fails for large time steps, the developed scheme gives results that converge to true steady states for any time step used.
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来源期刊
Iranian journal of mathematical chemistry
Iranian journal of mathematical chemistry CHEMISTRY, MULTIDISCIPLINARY-
CiteScore
2.10
自引率
7.70%
发文量
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