Solution method for the transformed time-dependent Michaelis–Menten enzymatic reaction model

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• 作者：Ronald Li ; Robert A. Van Gorder ; Kristina Mallory…
• 关键词：Dynamic Michaelis–Menten model ; Nonlinear dynamics ; Stability ; Enzyme reactions
• 刊名：Journal of Mathematical Chemistry
• 出版年：2014
• 出版时间：November 2014
• 年：2014
• 卷：52
• 期：10
• 页码：2494-2506
• 全文大小：417 KB
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• 作者单位：Ronald Li (1)
  Robert A. Van Gorder (1)
  Kristina Mallory (1)
  Kuppalappalle Vajravelu (1)
  
  1. Department of Mathematics, University of Central Florida, Orlando, FL, 32816-1364, USA
  
• ISSN：1572-8897

文摘

The dynamic form of the Michaelis–Menten enzymatic reaction equations provides a time-dependent model in which a substrate \(S\) reacts with an enzyme \(E\) to form a complex \(C\) which is in turn converted into a product \(P\) and the enzyme \(E\) . In the recent paper [Mallory and Van Gorder in J Math Chem 52: 222-30, 2014], it was shown that this system of four nonlinear equations can be reduced to a single nonlinear differential equation, which is simpler to solve numerically than the system of four equations. Qualitative properties of solutions were discussed, and stability results were given. In the present paper, we apply the optimal homotopy analysis method to the solution of this problem in order to obtain quantitative results. To do so, we transform the governing equation into a form that is more amenable to analysis. From the homotopy solutions, we are then able to study the effects of the model parameters on the solutions to the dynamic Michaelis–Menten enzymatic reaction equations. The results demonstrate the accuracy and efficiency of the approach, with residual errors of \(10^{-6}\) -span class="a-plus-plus inline-equation id-i-eq7"> \(10^{-10}\) by considering relatively few iterations of the method. Therefore, the optimal homotopy analysis method is shown to be a rather useful tool for constructing analytical solutions to the dynamic Michaelis–Menten enzymatic reaction equations.