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Attractor metabolic networks.

Ildefonso M De la Fuente1, Jesus M Cortes, David A Pelta

  • 1Quantitative Biomedicine Unit, BioCruces Health Research Institute, Barakaldo, Basque Country, Spain. mtpmadei@ehu.es

Plos One
|April 5, 2013
PubMed
Summary
This summary is machine-generated.

Cellular enzymatic activity self-organizes into attractor metabolic networks. These networks store and recover functional metabolic patterns, regulating cellular processes and adapting to external stimuli.

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Area of Science:

  • Systems Biology
  • Metabolic Networks
  • Biophysics

Background:

  • Cellular enzymatic activity self-organizes into a Systemic Metabolic Structure.
  • This structure, comprising a metabolic core and intermittently active reactions, is conserved across organisms like E. coli, H. pylori, and S. cerevisiae.
  • Cells function as complex metabolic networks with interconnected multienzymatic complexes and emergent catalytic patterns.

Purpose of the Study:

  • To investigate the systemic mechanisms regulating cellular enzymatic activity in dissipative metabolic networks.
  • To analyze the behavior of these networks under various external stimuli.
  • To understand how cells adapt to environmental changes through metabolic plasticity.

Main Methods:

  • Studied catalytic activities of dissipative metabolic networks under different external stimuli.
  • Analyzed emergent biochemical data using statistical mechanics tools.
  • Developed an equivalent Hopfield network model using a Boltzmann machine.

Main Results:

  • Dissipative metabolic networks exhibit attractor-like behavior.
  • These networks can store functional metabolic patterns.
  • Network attractors regulate catalytic patterns and inter-complex efficiency.

Conclusions:

  • Systemic enzymatic activities are governed by attractors capable of storing and recovering metabolic patterns.
  • Attractor metabolic networks provide a framework for understanding cellular adaptation and regulation.
  • This study introduces the concept of the attractor metabolic network.