Solution of a Complex Nonlinear Fractional Biochemical Reaction Model

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 an...

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Main Authors: Fatima Rabah, Marwan Abukhaled, Suheil A. Khuri
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Mathematical and Computational Applications
Subjects:
Online Access:https://www.mdpi.com/2297-8747/27/3/45
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author Fatima Rabah
Marwan Abukhaled
Suheil A. Khuri
author_facet Fatima Rabah
Marwan Abukhaled
Suheil A. Khuri
author_sort Fatima Rabah
collection DOAJ
description 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 convergence of the approximate concentrations may be lost. In this case, the proposed analytical methods will be coupled with Padé approximation. The validity and accuracy of the derived analytical solutions will be established by direct comparison with numerical simulations.
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spelling doaj.art-c8292b6c81d54e20807c57debfd50fc92023-11-23T17:50:44ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472022-05-012734510.3390/mca27030045Solution of a Complex Nonlinear Fractional Biochemical Reaction ModelFatima Rabah0Marwan Abukhaled1Suheil A. Khuri2Department of Mathematics and Statistics, American University of Sharjah, Sharjah P.O. Box 26666, United Arab EmiratesDepartment of Mathematics and Statistics, American University of Sharjah, Sharjah P.O. Box 26666, United Arab EmiratesDepartment of Mathematics and Statistics, American University of Sharjah, Sharjah P.O. Box 26666, United Arab EmiratesThis 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 convergence of the approximate concentrations may be lost. In this case, the proposed analytical methods will be coupled with Padé approximation. The validity and accuracy of the derived analytical solutions will be established by direct comparison with numerical simulations.https://www.mdpi.com/2297-8747/27/3/45enzyme inhibitorbiochemical reactionfractional differential systemLaplace transformationsemi-analytic
spellingShingle Fatima Rabah
Marwan Abukhaled
Suheil A. Khuri
Solution of a Complex Nonlinear Fractional Biochemical Reaction Model
Mathematical and Computational Applications
enzyme inhibitor
biochemical reaction
fractional differential system
Laplace transformation
semi-analytic
title Solution of a Complex Nonlinear Fractional Biochemical Reaction Model
title_full Solution of a Complex Nonlinear Fractional Biochemical Reaction Model
title_fullStr Solution of a Complex Nonlinear Fractional Biochemical Reaction Model
title_full_unstemmed Solution of a Complex Nonlinear Fractional Biochemical Reaction Model
title_short Solution of a Complex Nonlinear Fractional Biochemical Reaction Model
title_sort solution of a complex nonlinear fractional biochemical reaction model
topic enzyme inhibitor
biochemical reaction
fractional differential system
Laplace transformation
semi-analytic
url https://www.mdpi.com/2297-8747/27/3/45
work_keys_str_mv AT fatimarabah solutionofacomplexnonlinearfractionalbiochemicalreactionmodel
AT marwanabukhaled solutionofacomplexnonlinearfractionalbiochemicalreactionmodel
AT suheilakhuri solutionofacomplexnonlinearfractionalbiochemicalreactionmodel