Characterizing multistationarity regimes in biochemical reaction networks.

Switch like responses appear as common strategies in the regulation of cellular systems. Here we present a method to characterize bistable regimes in biochemical reaction networks that can be of use to both direct and reverse engineering of biological switches. In the design of a synthetic biologica...

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Autores principales:	Irene Otero-Muras, Julio R Banga, Antonio A Alonso
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2c839c249b4547ad87d361a0a852ea15
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spelling	oai:doaj.org-article:2c839c249b4547ad87d361a0a852ea152021-11-18T07:13:28ZCharacterizing multistationarity regimes in biochemical reaction networks.1932-620310.1371/journal.pone.0039194https://doaj.org/article/2c839c249b4547ad87d361a0a852ea152012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22802936/?tool=EBIhttps://doaj.org/toc/1932-6203Switch like responses appear as common strategies in the regulation of cellular systems. Here we present a method to characterize bistable regimes in biochemical reaction networks that can be of use to both direct and reverse engineering of biological switches. In the design of a synthetic biological switch, it is important to study the capability for bistability of the underlying biochemical network structure. Chemical Reaction Network Theory (CRNT) may help at this level to decide whether a given network has the capacity for multiple positive equilibria, based on their structural properties. However, in order to build a working switch, we also need to ensure that the bistability property is robust, by studying the conditions leading to the existence of two different steady states. In the reverse engineering of biological switches, knowledge collected about the bistable regimes of the underlying potential model structures can contribute at the model identification stage to a drastic reduction of the feasible region in the parameter space of search. In this work, we make use and extend previous results of the CRNT, aiming not only to discriminate whether a biochemical reaction network can exhibit multiple steady states, but also to determine the regions within the whole space of parameters capable of producing multistationarity. To that purpose we present and justify a condition on the parameters of biochemical networks for the appearance of multistationarity, and propose an efficient and reliable computational method to check its satisfaction through the parameter space.Irene Otero-MurasJulio R BangaAntonio A AlonsoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e39194 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Irene Otero-Muras Julio R Banga Antonio A Alonso Characterizing multistationarity regimes in biochemical reaction networks.
description	Switch like responses appear as common strategies in the regulation of cellular systems. Here we present a method to characterize bistable regimes in biochemical reaction networks that can be of use to both direct and reverse engineering of biological switches. In the design of a synthetic biological switch, it is important to study the capability for bistability of the underlying biochemical network structure. Chemical Reaction Network Theory (CRNT) may help at this level to decide whether a given network has the capacity for multiple positive equilibria, based on their structural properties. However, in order to build a working switch, we also need to ensure that the bistability property is robust, by studying the conditions leading to the existence of two different steady states. In the reverse engineering of biological switches, knowledge collected about the bistable regimes of the underlying potential model structures can contribute at the model identification stage to a drastic reduction of the feasible region in the parameter space of search. In this work, we make use and extend previous results of the CRNT, aiming not only to discriminate whether a biochemical reaction network can exhibit multiple steady states, but also to determine the regions within the whole space of parameters capable of producing multistationarity. To that purpose we present and justify a condition on the parameters of biochemical networks for the appearance of multistationarity, and propose an efficient and reliable computational method to check its satisfaction through the parameter space.
format	article
author	Irene Otero-Muras Julio R Banga Antonio A Alonso
author_facet	Irene Otero-Muras Julio R Banga Antonio A Alonso
author_sort	Irene Otero-Muras
title	Characterizing multistationarity regimes in biochemical reaction networks.
title_short	Characterizing multistationarity regimes in biochemical reaction networks.
title_full	Characterizing multistationarity regimes in biochemical reaction networks.
title_fullStr	Characterizing multistationarity regimes in biochemical reaction networks.
title_full_unstemmed	Characterizing multistationarity regimes in biochemical reaction networks.
title_sort	characterizing multistationarity regimes in biochemical reaction networks.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/2c839c249b4547ad87d361a0a852ea15
work_keys_str_mv	AT ireneoteromuras characterizingmultistationarityregimesinbiochemicalreactionnetworks AT juliorbanga characterizingmultistationarityregimesinbiochemicalreactionnetworks AT antonioaalonso characterizingmultistationarityregimesinbiochemicalreactionnetworks
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Characterizing multistationarity regimes in biochemical reaction networks.

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