A statistical mechanics description of environmental variability in metabolic networks
Crofts, J.J. and Estrada, Ernesto (2014) A statistical mechanics description of environmental variability in metabolic networks. Journal of Mathematical Chemistry, 52 (2). pp. 675-688. ISSN 0259-9791 (https://doi.org/10.1007/s10910-013-0288-7)
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Abstract
Many of the chemical reactions that take place within a living cell are irreversible. Due to evolutionary pressures, the number of allowable reactions within these systems are highly constrained and thus the resulting metabolic networks display considerable asymmetry. In this paper, we explore possible evolutionary factors pertaining to the reduced symmetry observed in these networks, and demonstrate the important role environmental variability plays in shaping their structural organization. Interpreting the returnability index as an equilibrium constant for a reaction network in equilibrium with a hypothetical reference system, enables us to quantify the extent to which a metabolic network is in disequilibrium. Further, by introducing a new directed centrality measure via an extension of the subgraph centrality metric to directed networks, we are able to characterise individual metabolites by their participation within metabolic pathways. To demonstrate these ideas, we study 116 metabolic networks of bacteria. In particular, we find that the equilibrium constant for the metabolic networks decreases significantly in-line with variability in bacterial habitats, supporting the view that environmental variability promotes disequilibrium within these biochemical reaction systems
ORCID iDs
Crofts, J.J. and Estrada, Ernesto ORCID: https://orcid.org/0000-0002-3066-7418;-
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Item type: Article ID code: 47237 Dates: DateEventFebruary 2014PublishedSubjects: Science > Mathematics
Science > Mathematics > Probabilities. Mathematical statistics
Science > PhysicsDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 19 Mar 2014 12:48 Last modified: 11 Nov 2024 10:38 URI: https://strathprints.strath.ac.uk/id/eprint/47237