Quantitative analysis of the regulatory mechanisms of living systems to identify effective influence points during anomalies
Mahruy SaidalievaScientific and Innovation Center of Information and Communication Technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, UzbekistanMohiniso HidirovaScientific and Innovation Center of Information and Communication Technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan
2019 International Conference on Information Science and Communications Technologies (ICISCT)conference2019en
ABI
Abstract
This paper deals with modeling the regulatory mechanisms of living systems to identify effective regulatory points during anomalies. Computational experiments show that at certain values of internal and external cellular conditions there are exist the following regimes: stationary state, auto-oscillations and chaotic behavior, “black hole” effect, “r-windows”. The results showed that in the anomaly areas (dynamic chaos and “black hole” area), the most optimal “treatment strategy” is the transition to the nearest “r-windows” of irregular oscillations or a sequential transition along the chain from “r-windows” to the region of limit cycles using minimization of irregularity levels and metabolic load.
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