APPLICATION OF GRAPH THEORY TO AGING
APPLICATION OF GRAPH THEORY TO AGING

Author(s): Antoaneta Klobučar
Subject(s): Health and medicine and law, Demography and human biology, Gerontology
Published by: Sveučilište Josipa Jurja Strossmayera u Osijeku, Ekonomski fakultet u Osijeku
Keywords: network; biological network; aging;
Summary/Abstract: A network is a collection of points joined in pairs by lines. In graph theory, the points are called vertices, and the lines are called edges. Also, a network is a representation that reduces some systems to an abstract structure containing only the required properties we want to provide. Vertices and edges in a network can be labeled with additional information, such as names or weights, which determine the system more precisely. This paper reviews the application of graph theory and mathematical methods to model biological networks and to study the aging process. Aging is a complex phenomenon that occurs at the molecular, cellular, and organismal levels, and understanding the mechanisms that drive aging requires a system-level approach. Biological networks, including protein-protein interaction networks, genetic regulatory networks, and metabolic networks, play a critical role in aging. Graph theory provides a powerful tool for modeling and analyzing complex networks, and mathematical methods can be used to simulate the dynamics of these networks during aging.

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