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Attractor Metabolic Networks

Overview of attention for article published in PLOS ONE, March 2013
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Title
Attractor Metabolic Networks
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058284
Pubmed ID
Authors

Ildefonso M. De la Fuente, Jesus M. Cortes, David A. Pelta, Juan Veguillas

Abstract

The experimental observations and numerical studies with dissipative metabolic networks have shown that cellular enzymatic activity self-organizes spontaneously leading to the emergence of a Systemic Metabolic Structure in the cell, characterized by a set of different enzymatic reactions always locked into active states (metabolic core) while the rest of the catalytic processes are only intermittently active. This global metabolic structure was verified for Escherichia coli, Helicobacter pylori and Saccharomyces cerevisiae, and it seems to be a common key feature to all cellular organisms. In concordance with these observations, the cell can be considered a complex metabolic network which mainly integrates a large ensemble of self-organized multienzymatic complexes interconnected by substrate fluxes and regulatory signals, where multiple autonomous oscillatory and quasi-stationary catalytic patterns simultaneously emerge. The network adjusts the internal metabolic activities to the external change by means of flux plasticity and structural plasticity.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Spain 1 2%
Czechia 1 2%
Italy 1 2%
Unknown 43 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 9 19%
Student > Master 5 11%
Other 4 9%
Professor 4 9%
Other 13 28%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 26%
Computer Science 6 13%
Medicine and Dentistry 6 13%
Biochemistry, Genetics and Molecular Biology 5 11%
Physics and Astronomy 3 6%
Other 10 21%
Unknown 5 11%