Application of multi-scale mathematical model in optimization of cellular metabolic network
Abstract
A cellular metabolic network is an intricate system of biochemical routes and reactions that allow a cell to grow, survive, and operate. These networks handle the conversion of nutrients into energy, building blocks for cell structures, and other bioactive compounds required for cellular functions. The metabolic network’s complex physiological function in completing the catalytic conversion could be completely comprehended from a whole-body viewpoint, which considers the underlying interactions between the metabolic conditions of the body as a whole, surrounding tissue, and specific cells. Research presents a multi-scale mathematical model to optimize cellular metabolic networks by integrating cellular-level metabolic processes with whole-body physiological systems. This approach integrates dynamic flux balance analysis with refined genetic algorithms (RGA) to optimize enzyme activities and metabolic fluxes. The liver material of a physiologically based adult pharmacokinetic (PB-PK) classical was used to evaluate the methods using a genome-scale network rebuilding of a humanoid hepatocyte. A systems-level investigation of hyper uricemia treatment, liver metabolism, detoxification pathway simulation, and PB-PK models was conducted using the multi-scale model that was produced. This model offers a framework for metabolic optimization, facilitating an improved understanding of medication discovery and illness treatment approaches.
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