Computer Science and Engineering, Department of

 

Document Type

Article

Date of this Version

3-29-2023

Citation

Computational Biology and Chemistry 104 (2023) 107860. https://doi.org/10.1016/j.compbiolchem.2023.107860

Comments

Open access.

Abstract

š¯›½-oxidation of fatty acids plays a significant role in the energy metabolism of the cell. This paper presents a š¯›½-oxidation model of fatty acids based on queueing theory. It uses Michaelisā€“Menten enzyme kinetics, and literature data on metabolitesā€™ concentration and enzymatic constants. A genetic algorithm was used to optimize the parameters for the pathway reactions. The model enables real-time tracking of changes in the concentrations of metabolites with different carbon chain lengths. Another application of the presented model is to predict the changes caused by system disturbance, such as altered enzyme activity or abnormal fatty acid concentration. The model has been validated against experimental data. There are diseases that change the metabolism of fatty acids and the presented model can be used to understand the cause of these changes, analyze metabolites abnormalities, and determine the initial target of treatment.

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