optPBN: an optimisation toolbox for probabilistic Boolean networks.

<h4>Background</h4>There exist several computational tools which allow for the optimisation and inference of biological networks using a Boolean formalism. Nevertheless, the results from such tools yield only limited quantitative insights into the complexity of biological systems because...

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Autores principales:	Panuwat Trairatphisan, Andrzej Mizera, Jun Pang, Alexandru Adrian Tantar, Thomas Sauter
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/98a46f8035d042faaa4c3bf29f656c59
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spelling	oai:doaj.org-article:98a46f8035d042faaa4c3bf29f656c592021-11-25T06:10:10ZoptPBN: an optimisation toolbox for probabilistic Boolean networks.1932-620310.1371/journal.pone.0098001https://doaj.org/article/98a46f8035d042faaa4c3bf29f656c592014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24983623/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>There exist several computational tools which allow for the optimisation and inference of biological networks using a Boolean formalism. Nevertheless, the results from such tools yield only limited quantitative insights into the complexity of biological systems because of the inherited qualitative nature of Boolean networks.<h4>Results</h4>We introduce optPBN, a Matlab-based toolbox for the optimisation of probabilistic Boolean networks (PBN) which operates under the framework of the BN/PBN toolbox. optPBN offers an easy generation of probabilistic Boolean networks from rule-based Boolean model specification and it allows for flexible measurement data integration from multiple experiments. Subsequently, optPBN generates integrated optimisation problems which can be solved by various optimisers. In term of functionalities, optPBN allows for the construction of a probabilistic Boolean network from a given set of potential constitutive Boolean networks by optimising the selection probabilities for these networks so that the resulting PBN fits experimental data. Furthermore, the optPBN pipeline can also be operated on large-scale computational platforms to solve complex optimisation problems. Apart from exemplary case studies which we correctly inferred the original network, we also successfully applied optPBN to study a large-scale Boolean model of apoptosis where it allows identifying the inverse correlation between UVB irradiation, NFκB and Caspase 3 activations, and apoptosis in primary hepatocytes quantitatively. Also, the results from optPBN help elucidating the relevancy of crosstalk interactions in the apoptotic network.<h4>Summary</h4>The optPBN toolbox provides a simple yet comprehensive pipeline for integrated optimisation problem generation in the PBN formalism that can readily be solved by various optimisers on local or grid-based computational platforms. optPBN can be further applied to various biological studies such as the inference of gene regulatory networks or the identification of the interaction's relevancy in signal transduction networks.Panuwat TrairatphisanAndrzej MizeraJun PangAlexandru Adrian TantarThomas SauterPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 7, p e98001 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Panuwat Trairatphisan Andrzej Mizera Jun Pang Alexandru Adrian Tantar Thomas Sauter optPBN: an optimisation toolbox for probabilistic Boolean networks.
description	<h4>Background</h4>There exist several computational tools which allow for the optimisation and inference of biological networks using a Boolean formalism. Nevertheless, the results from such tools yield only limited quantitative insights into the complexity of biological systems because of the inherited qualitative nature of Boolean networks.<h4>Results</h4>We introduce optPBN, a Matlab-based toolbox for the optimisation of probabilistic Boolean networks (PBN) which operates under the framework of the BN/PBN toolbox. optPBN offers an easy generation of probabilistic Boolean networks from rule-based Boolean model specification and it allows for flexible measurement data integration from multiple experiments. Subsequently, optPBN generates integrated optimisation problems which can be solved by various optimisers. In term of functionalities, optPBN allows for the construction of a probabilistic Boolean network from a given set of potential constitutive Boolean networks by optimising the selection probabilities for these networks so that the resulting PBN fits experimental data. Furthermore, the optPBN pipeline can also be operated on large-scale computational platforms to solve complex optimisation problems. Apart from exemplary case studies which we correctly inferred the original network, we also successfully applied optPBN to study a large-scale Boolean model of apoptosis where it allows identifying the inverse correlation between UVB irradiation, NFκB and Caspase 3 activations, and apoptosis in primary hepatocytes quantitatively. Also, the results from optPBN help elucidating the relevancy of crosstalk interactions in the apoptotic network.<h4>Summary</h4>The optPBN toolbox provides a simple yet comprehensive pipeline for integrated optimisation problem generation in the PBN formalism that can readily be solved by various optimisers on local or grid-based computational platforms. optPBN can be further applied to various biological studies such as the inference of gene regulatory networks or the identification of the interaction's relevancy in signal transduction networks.
format	article
author	Panuwat Trairatphisan Andrzej Mizera Jun Pang Alexandru Adrian Tantar Thomas Sauter
author_facet	Panuwat Trairatphisan Andrzej Mizera Jun Pang Alexandru Adrian Tantar Thomas Sauter
author_sort	Panuwat Trairatphisan
title	optPBN: an optimisation toolbox for probabilistic Boolean networks.
title_short	optPBN: an optimisation toolbox for probabilistic Boolean networks.
title_full	optPBN: an optimisation toolbox for probabilistic Boolean networks.
title_fullStr	optPBN: an optimisation toolbox for probabilistic Boolean networks.
title_full_unstemmed	optPBN: an optimisation toolbox for probabilistic Boolean networks.
title_sort	optpbn: an optimisation toolbox for probabilistic boolean networks.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/98a46f8035d042faaa4c3bf29f656c59
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optPBN: an optimisation toolbox for probabilistic Boolean networks.

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