Dresden 2020 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 57: Poster: Statistical Physics; Critical Phenomena; Stochastic Thermodynamics; Extreme Events; Data Analytics

DY 57.15: Poster

Donnerstag, 19. März 2020, 15:00–18:00, P1C

Graph properties of metabolic networks reveals optimization for self-preservation — •Máté Józsa and Zsolt Iosif Lázár — Babeş-Bolyai University, Cluj-Napoca, Romania

Exploring the properties of living systems is a common topic for most fields of sciences, yet there is no comprehensive theory, that describes the most basic elements. In our search for the fundamental properties of life forms, we studied the topology of metabolic networks of thousands of organisms using carefully randomized counterparts as null model. In order to identify metabolism specific graph properties the same procedure was carried out also on other types of real networks. The discovered and quantified patterns may be the corner stones of any biochemical network of living systems: fast dynamics of the chemical processes, and optimal transport, that is, efficient distribution of chemical elements over the network. The stability of these properties, that is, resistance to network failures due to environmental effects also appears to be optimized in metabolic networks. The results suggest that modularity might arise as a consequence of these simultaneous optimizations.