Modelling Oscillating Living Systems: Cell Energy Metabolism as Weighted Networks of Nonautonomous Oscillators

Rowland Adams, Joe and Stefanovska, Aneta (2021) Modelling Oscillating Living Systems: Cell Energy Metabolism as Weighted Networks of Nonautonomous Oscillators. In: 2019-20 MATRIX Annals. Matrix Book Series . Springer, Cham, pp. 255-264. ISBN 9783030624965

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Abstract

Oscillations are a common feature throughout life, forming a key mechanism by which living systems can regulate their internal processes and exchange information. To understand the functions and behaviours of these processes, we must understand the nature of their oscillations. Studying oscillations can be difficult within existing physical models that simulate the changes in a system’s masses through autonomous differential equations. We discuss an alternative approach that focuses on the phases of oscillating processes and incorporates time as a key consideration. We will also consider the application of these theories to the cell energy metabolic system, and present a novel model using weighted nonautonomous Kuramoto oscillator networks in this context.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
151883
Deposited By:
Deposited On:
22 Feb 2021 17:00
Refereed?:
No
Published?:
Published
Last Modified:
01 Aug 2021 09:20