High performance computational approach to study model describing reversible two-step enzymatic reaction with time fractional derivative

Enzyme reactions have numerous applications in diverse disciplines of science like chemistry, biology and biomechanics. In this study, we examine the role and act of enzymes in chemical reactions which is considered in the frame of fractional order model. The proposed model includes system of four equations which are studied via Caputo fractional operator. The systems of non-linear equations are evaluated by a semi-analytical approach called $$q$$ -homotopy analysis transform method. The uniqueness and existence of the solutions has been investigated through fixed point theorem. The solutions of the proposed model are achieved through the considered method and the obtained outcomes are in the form of series which shows rapid convergence. The solutions are computed and graphs are plotted for the obtained results using mathematica software. The achieved results by the proposed method are unique and illustrate the significant dynamics of the considered model via 3D plots and graphs. The results of this study demonstrate the importance and effectiveness of projected derivative and technique in the analysis of time dependent fractional mathematical models. This study also gives an idea to extend the applications of enzymatic reactions in drug development, bio mechanics, and chemical reactions in various cellular metabolisms. Also, enzymatic reactions have a vital role in the fields of the food industry for processing food, in biotechnology for the manufacture of biofuels, and in metabolic engineering to design metabolic pathways.

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Publication Details

Journal
Scientific Reports
Published
2024-09-10
DOI
https://doi.org/10.1038/s41598-024-71937-8
Citations
4
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.58

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article

High performance computational approach to study model describing reversible two-step enzymatic reaction with time fractional derivative

Nasser Bin Turki, D. G. Prakasha, H. V. Chethan
4 citations
Scientific Reports
Fractional Differential Equations Solutions
1.58
article

High performance computational approach to study model describing reversible two-step enzymatic reaction with time fractional derivative

Nasser Bin Turki, D. G. Prakasha, H. V. Chethan
article en
4 citations

Abstract

Enzyme reactions have numerous applications in diverse disciplines of science like chemistry, biology and biomechanics. In this study, we examine the role and act of enzymes in chemical reactions which is considered in the frame of fractional order model. The proposed model includes system of four equations which are studied via Caputo fractional operator. The systems of non-linear equations are evaluated by a semi-analytical approach called $$q$$ -homotopy analysis transform method. The uniqueness and existence of the solutions has been investigated through fixed point theorem. The solutions of the proposed model are achieved through the considered method and the obtained outcomes are in the form of series which shows rapid convergence. The solutions are computed and graphs are plotted for the obtained results using mathematica software. The achieved results by the proposed method are unique and illustrate the significant dynamics of the considered model via 3D plots and graphs. The results of this study demonstrate the importance and effectiveness of projected derivative and technique in the analysis of time dependent fractional mathematical models. This study also gives an idea to extend the applications of enzymatic reactions in drug development, bio mechanics, and chemical reactions in various cellular metabolisms. Also, enzymatic reactions have a vital role in the fields of the food industry for processing food, in biotechnology for the manufacture of biofuels, and in metabolic engineering to design metabolic pathways.

Scientific ReportsVol. 14(1)
Davangere University (IN), King Saud University (SA)
King Saud University
Openalex Percentile: Top 18%
Fractional Differential Equations Solutions
1.58
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