A control theoretic three timescale model for analyzing energy management in mammalian cancer cells

• DOI: 10.1016/j.csbj.2020.12.019
• Publication Date: 2020-12-29T12:11:29Z
• Authors: Abhijit Dasgupta; Abhisek Bakshi; Nirmalya Chowdhury; Rajat K. De
• Keywords: Hexokinase; Gene regulatory network

Interaction among different pathways, such as metabolic, signaling and gene regulatory networks, of cellular system is responsible to maintain homeostasis in a mammalian cell. Malfunctioning this cooperation may lead many complex diseases, cancer type 2 diabetes. Timescale differences these pathways make their integration daunting task. Metabolic, networks have three timescales, as, ultrafast, fast slow respectively. The article deals with problem by developing support vector regression (SVR) based timescale model the application genetic algorithm nonlinear controller. proposed can successfully capture transient dynamics regulations integrated biochemical pathway under consideration. Besides, quite capable predicting effects certain drug targets for types diseases. Here, energy cell proliferation management cells been explored analyzed help novel approach. Previous investigations including