dorsal/arxiv
View SchemaThe Regularizing Capacity of Metabolic Networks
| Authors | Carsten Marr, Mark Mueller-Linow, Marc-Thorsten Huett |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0612017 |
| URL | https://arxiv.org/abs/q-bio/0612017 |
| DOI | 10.1103/PhysRevE.75.041917 |
Abstract
Despite their topological complexity almost all functional properties of metabolic networks can be derived from steady-state dynamics. Indeed, many theoretical investigations (like flux-balance analysis) rely on extracting function from steady states. This leads to the interesting question, how metabolic networks avoid complex dynamics and maintain a steady-state behavior. Here, we expose metabolic network topologies to binary dynamics generated by simple local rules. We find that the networks' response is highly specific: Complex dynamics are systematically reduced on metabolic networks compared to randomized networks with identical degree sequences. Already small topological modifications substantially enhance the capacity of a network to host complex dynamic behavior and thus reduce its regularizing potential. This exceptionally pronounced regularization of dynamics encoded in the topology may explain, why steady-state behavior is ubiquitous in metabolism.
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"abstract": "Despite their topological complexity almost all functional properties of\nmetabolic networks can be derived from steady-state dynamics. Indeed, many\ntheoretical investigations (like flux-balance analysis) rely on extracting\nfunction from steady states. This leads to the interesting question, how\nmetabolic networks avoid complex dynamics and maintain a steady-state behavior.\nHere, we expose metabolic network topologies to binary dynamics generated by\nsimple local rules. We find that the networks\u0027 response is highly specific:\nComplex dynamics are systematically reduced on metabolic networks compared to\nrandomized networks with identical degree sequences. Already small topological\nmodifications substantially enhance the capacity of a network to host complex\ndynamic behavior and thus reduce its regularizing potential. This exceptionally\npronounced regularization of dynamics encoded in the topology may explain, why\nsteady-state behavior is ubiquitous in metabolism.",
"arxiv_id": "q-bio/0612017",
"authors": [
"Carsten Marr",
"Mark Mueller-Linow",
"Marc-Thorsten Huett"
],
"categories": [
"q-bio.MN",
"nlin.CG"
],
"doi": "10.1103/PhysRevE.75.041917",
"title": "The Regularizing Capacity of Metabolic Networks",
"url": "https://arxiv.org/abs/q-bio/0612017"
},
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