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Research Article | Open Access

Computational analysis of fractional Michaelis-Menten enzymatic reaction model

Devendra Kumar1,2,3( )Hunney Nama1Dumitru Baleanu3,4
Department of Mathematics, University of Rajasthan, Jaipur 302004, Rajasthan, India; namahunney99@gmail.com
Department of Mathematics, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Korea
Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon; dumitru.baleanu@lau.edu.lb
Institute of Space Sciences, Magurele-Bucharest, Romania
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Abstract

In this study for examining the fractional Michaelis-Menten enzymatic reaction (FMMER) model, we suggested a computational method by using an operational matrix of Jacobi polynomials (JPs) as its foundation. We obtain an operational matrix for the arbitrary order derivative in the Caputo sense. The fractional differential equations (FDEs) are then reduced to a set of algebraic equations by using attained operational matrix and the collocation method. The approach which utilized in this study is quicker and more effective compared to other schemes. We also compared the suggested method with the Vieta-Lukas collocation technique (VLCM) and we obtain excellent results. A comparison between numerical outcomes is shown by figures and tables. Error analysis of the recommended methods is also presented.

CLC number: 26A33, 33C45, 65L05

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AIMS Mathematics
Pages 625-641

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Cite this article:
Kumar D, Nama H, Baleanu D. Computational analysis of fractional Michaelis-Menten enzymatic reaction model. AIMS Mathematics, 2024, 9(1): 625-641. https://doi.org/10.3934/math.2024033

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Received: 23 August 2023
Revised: 26 October 2023
Accepted: 29 October 2023
Published: 15 January 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)