Attractor metabolic networks.

<h4>Background</h4>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...

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Autores principales:	Ildefonso M De la Fuente, Jesus M Cortes, David A Pelta, Juan Veguillas
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4229232e728b4f2a86e8f647f4467d34
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spelling	oai:doaj.org-article:4229232e728b4f2a86e8f647f4467d342021-11-18T07:53:19ZAttractor metabolic networks.1932-620310.1371/journal.pone.0058284https://doaj.org/article/4229232e728b4f2a86e8f647f4467d342013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23554883/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>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.<h4>Methodology/principal findings</h4>In order to research the systemic mechanisms involved in the regulation of the cellular enzymatic activity we have studied different catalytic activities of a dissipative metabolic network under different external stimuli. The emergent biochemical data have been analysed using statistical mechanic tools, studying some macroscopic properties such as the global information and the energy of the system. We have also obtained an equivalent Hopfield network using a Boltzmann machine. Our main result shows that the dissipative metabolic network can behave as an attractor metabolic network.<h4>Conclusions/significance</h4>We have found that the systemic enzymatic activities are governed by attractors with capacity to store functional metabolic patterns which can be correctly recovered from specific input stimuli. The network attractors regulate the catalytic patterns, modify the efficiency in the connection between the multienzymatic complexes, and stably retain these modifications. Here for the first time, we have introduced the general concept of attractor metabolic network, in which this dynamic behavior is observed.Ildefonso M De la FuenteJesus M CortesDavid A PeltaJuan VeguillasPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e58284 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ildefonso M De la Fuente Jesus M Cortes David A Pelta Juan Veguillas Attractor metabolic networks.
description	<h4>Background</h4>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.<h4>Methodology/principal findings</h4>In order to research the systemic mechanisms involved in the regulation of the cellular enzymatic activity we have studied different catalytic activities of a dissipative metabolic network under different external stimuli. The emergent biochemical data have been analysed using statistical mechanic tools, studying some macroscopic properties such as the global information and the energy of the system. We have also obtained an equivalent Hopfield network using a Boltzmann machine. Our main result shows that the dissipative metabolic network can behave as an attractor metabolic network.<h4>Conclusions/significance</h4>We have found that the systemic enzymatic activities are governed by attractors with capacity to store functional metabolic patterns which can be correctly recovered from specific input stimuli. The network attractors regulate the catalytic patterns, modify the efficiency in the connection between the multienzymatic complexes, and stably retain these modifications. Here for the first time, we have introduced the general concept of attractor metabolic network, in which this dynamic behavior is observed.
format	article
author	Ildefonso M De la Fuente Jesus M Cortes David A Pelta Juan Veguillas
author_facet	Ildefonso M De la Fuente Jesus M Cortes David A Pelta Juan Veguillas
author_sort	Ildefonso M De la Fuente
title	Attractor metabolic networks.
title_short	Attractor metabolic networks.
title_full	Attractor metabolic networks.
title_fullStr	Attractor metabolic networks.
title_full_unstemmed	Attractor metabolic networks.
title_sort	attractor metabolic networks.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/4229232e728b4f2a86e8f647f4467d34
work_keys_str_mv	AT ildefonsomdelafuente attractormetabolicnetworks AT jesusmcortes attractormetabolicnetworks AT davidapelta attractormetabolicnetworks AT juanveguillas attractormetabolicnetworks
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Attractor metabolic networks.

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