Author
Listed:
- FAIZ MUHAMMAD KHAN
(Department of Mathematics and Statistics, University of Swat, Khyber Pakhtunkhwa, Pakistan)
- AMJAD ALI
(Department of Mathematics and Statistics, University of Swat, Khyber Pakhtunkhwa, Pakistan)
- ABDULLAH
(Department of Mathematics and Statistics, University of Swat, Khyber Pakhtunkhwa, Pakistan)
- ILYAS KHAN
(��Department of Mathematics, College of Science, Al-Zulfi Majmaah University, Al-Majma’ah 11952, Saudi Arabia)
- ABHA SINGH
(��Department of Basic Sciences, College of Sciences and Theoretical Studies, Dammam-branch, Saudi Electronic University, Riyadh, Saudi Arabia)
- SAYED M. ELDIN
(�Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo 11835, Egypt)
Abstract
Glycolysis, which occurs in the cytoplasm of both prokaryotic and eukaryotic cells, is regarded to be the primary step employed in the breakdown of glucose to extract energy. As it is utilized by all living things on the planet, it was likely one of the first metabolic routes to emerge. It is a cytoplasmic mechanism that converts glucose into carbon molecules while also producing energy. The enzyme hexokinase aids in the phosphorylation of glucose. Hexokinase is inhibited by this mechanism, which generates glucose-6-P from adenosine triphosphate (ATP). This paper’s primary goal is to quantitatively examine the general reaction–diffusion Glycolysis system. Since the Glycolysis model shows a positive result as the unknown variables represent chemical substance concentration, therefore, to evaluate the behavior of the model for the non-integral order derivative of both independent variables, we expanded the concept of the conventional order Glycolysis model to the fractional Glycolysis model. The nonlinearity of the model is decomposed through an Adomian polynomial for evaluation. More precisely, we used the iterative Laplace Adomian decomposition method (LADM) to determine the numerical solution for the underlying model. The model’s necessary analytical/numerical solution was found by adding the first few iterations. Finally, we have presented numerical examples and graphical representations to explain the dynamics of the considered model to ensure the scheme’s validity.
Suggested Citation
Faiz Muhammad Khan & Amjad Ali & Abdullah & Ilyas Khan & Abha Singh & Sayed M. Eldin, 2023.
"Analytic Solution Of One-Dimensional Fractional Glycolysis Model,"
FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(10), pages 1-7.
Handle:
RePEc:wsi:fracta:v:31:y:2023:i:10:n:s0218348x23402016
DOI: 10.1142/S0218348X23402016
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