2022
DOI: 10.3390/mca27030045
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Solution of a Complex Nonlinear Fractional Biochemical Reaction Model

Abstract: This paper discusses a complex nonlinear fractional model of enzyme inhibitor reaction where reaction memory is taken into account. Analytical expressions of the concentrations of enzyme, substrate, inhibitor, product, and other complex intermediate species are derived using Laplace decomposition and differential transformation methods. Since different rate constants, large initial concentrations, and large time domains are unavoidable in biochemical reactions, different dynamics will result; hence, the conver… Show more

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Cited by 10 publications
(6 citation statements)
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“…Fractional differential equations have gained prominence in recent research, serving as effective tools to model natural phenomena in various fields, including biological systems, 15,16 infectious diseases, 17,18 fluid flow, 19 biochemical reactions, 20 and control theory. 21 Due to the inherent nonlocal property of fractional derivative operators, fractional models prove adept at describing memory and hereditary properties of various materials and processes.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Fractional differential equations have gained prominence in recent research, serving as effective tools to model natural phenomena in various fields, including biological systems, 15,16 infectious diseases, 17,18 fluid flow, 19 biochemical reactions, 20 and control theory. 21 Due to the inherent nonlocal property of fractional derivative operators, fractional models prove adept at describing memory and hereditary properties of various materials and processes.…”
Section: Introductionmentioning
confidence: 99%
“…28,29 While these meth-ods demonstrated efficiency and accuracy, they are not without challenges, such as issues of numerical schemes and the necessity to adjust parameters to align with numerical data. 30 Among the analytical methods recently applied to solve fractional-derivative equations are the homotopy analysis method, 31 homotopy perturbation method, 32 differential transform method, 33 Green's function-fixed point method, 34 and cubic spline method. 35 These methods contribute to the expanding toolkit for dealing with the complexities inherent in nonlinear fractional-order differential equations.…”
Section: Introductionmentioning
confidence: 99%
“…The goal of the fractional order, as well as significant reaction parameters on the enzymatic reaction, is to solve the fractional-order differential biochemical reaction model. Because it is difficult to find an accurate solution for every FDE, it is necessary to employ various numerical approaches [1,11,29]. Recently, several researchers discussed various mathematical models in [4,26,35].…”
Section: Introductionmentioning
confidence: 99%
“…Other methods were proposed to handle fractional differential equations, such as Sakar et al (2018), who acquired very accurate numerical solutions of fractional Bratu-type equations by applying a Legendre reproducing kernel method. Other methods include Sinc-Galerkin method (Alkan, 2014), Quasi-Newton’s method (Jia et al , 2016) and Laplace differential transform method (Abukhaled et al , 2022; Rabah et al , 2022). To learn more about the different methods for solving ordinary and fractional differential equations, see Abukhaled (2013), Khuri and Sayfy (2014), Deeba and Khuri (1996), Shawagfeh (2002) and Wu (2011) and the references therein.…”
Section: Introductionmentioning
confidence: 99%