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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: Otero-Muras, Irene, Banga, Julio R., Alonso, Antonio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389020/
https://www.ncbi.nlm.nih.gov/pubmed/22802936
http://dx.doi.org/10.1371/journal.pone.0039194
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author Otero-Muras, Irene
Banga, Julio R.
Alonso, Antonio A.
author_facet Otero-Muras, Irene
Banga, Julio R.
Alonso, Antonio A.
author_sort Otero-Muras, Irene
collection PubMed
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.
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spelling pubmed-33890202012-07-16 Characterizing Multistationarity Regimes in Biochemical Reaction Networks Otero-Muras, Irene Banga, Julio R. Alonso, Antonio A. PLoS One Research Article 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. Public Library of Science 2012-07-03 /pmc/articles/PMC3389020/ /pubmed/22802936 http://dx.doi.org/10.1371/journal.pone.0039194 Text en Otero-Muras et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Otero-Muras, Irene
Banga, Julio R.
Alonso, Antonio A.
Characterizing Multistationarity Regimes in Biochemical Reaction Networks
title 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_short Characterizing Multistationarity Regimes in Biochemical Reaction Networks
title_sort characterizing multistationarity regimes in biochemical reaction networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389020/
https://www.ncbi.nlm.nih.gov/pubmed/22802936
http://dx.doi.org/10.1371/journal.pone.0039194
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