The structure of a chaos of strange attractors within a mathematical model of the metabolism of a cell

TL;DR

This paper analyzes the complex chaotic behavior of a mathematical model of cellular metabolism, focusing on auto-oscillations, attractors, bifurcations, and stability implications for cellular processes.

Contribution

It provides a detailed study of chaos and strange attractors in a metabolic model, including bifurcation analysis and stability insights, which were not previously explored in this context.

Findings

Identification of various oscillatory modes in cell metabolism

Analysis of bifurcations leading to chaos and order transitions

Calculation of Lyapunov dimensions and predictability horizons for attractors

Abstract

This work continues the study of the earlier constructed mathematical model of the metabolic process running in a cell. We will consider auto-oscillations arising on the level of enzyme-substrate interactions in the nutrient and respiratory chains, which leads to the self-organization in autocatalysis of the integral metabolic process in cells. The auto-oscillations organize themselves in the total metabolic process of cells at autocatalysis. The behavior of the phase-parametric characteristic under the high dissipation of a kinetic membrane potentialis analyzed. All possible oscillatory modes of the system and the scenario of formation and destruction of regular and strange attractors are studied. The bifurcations of the transitions "order-chaos", "chaos-order", "chaos-chaos" and "order-order" are calculated. The total spectra of Lyapunov indices and the divergences for all types of attractors on a part of the phase-parametric characteristic under consideration are determined. For various types of strange attractors, their Lyapunov dimensions, KS-entropies, and "predictability horizons" are calculated. Some conclusions about the structure of the chaos of strange attractors and its influence on the stability of the metabolic process in a cell are drawn.