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Computational approaches to the topology, stability and dynamics of metabolic networks

Steuer, Ralf

Phytochemistry (Oxford), 2007-08, Vol.68 (16), p.2139-2151 [Periódico revisado por pares]

England: Elsevier Ltd

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  • Título:
    Computational approaches to the topology, stability and dynamics of metabolic networks
  • Autor: Steuer, Ralf
  • Assuntos: Bifurcations ; biochemical pathways ; cell biology ; Citric Acid Cycle - physiology ; Complex networks ; Computational Biology - methods ; Glucosyltransferases - metabolism ; Kinetic modeling ; Kinetics ; mathematical models ; metabolic networks ; Metabolic Networks and Pathways - physiology ; metabolome ; Metabolomics ; Models, Biological ; Nonlinear dynamics ; nonlinear models ; stoichiometry ; Systems biology
  • É parte de: Phytochemistry (Oxford), 2007-08, Vol.68 (16), p.2139-2151
  • Notas: http://dx.doi.org/10.1016/j.phytochem.2007.04.041
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  • Descrição: Recent computational strategies to evaluate the dynamic capabilities of metabolic networks are described and exemplified using paradigmatic models of metabolic pathways. Cellular metabolism is characterized by an intricate network of interactions between biochemical fluxes, metabolic compounds and regulatory interactions. To investigate and eventually understand the emergent global behavior arising from such networks of interaction is not possible by intuitive reasoning alone. This contribution seeks to describe recent computational approaches that aim to asses the topological and functional properties of metabolic networks. In particular, based on a recently proposed method, it is shown that it is possible to acquire a quantitative picture of the possible dynamics of metabolic systems, without assuming detailed knowledge of the underlying enzyme-kinetic rate equations and parameters. Rather, the method builds upon a statistical exploration of the comprehensive parameter space to evaluate the dynamic capabilities of a metabolic system, thus providing a first step towards the transition from topology to function of metabolic pathways. Utilizing this approach, the role of feedback mechanisms in the maintenance of stability is discussed using minimal models of cellular pathways.
  • Editor: England: Elsevier Ltd
  • Idioma: Inglês;Indonésio

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