Reconciling qualitative, abstract, and scalable modeling of biological networks

Boolean Networks are a well-established model of biological networks, but usual interpretations can preclude the prediction of behaviours observed in quantitative systems. The authors introduce Most Permissive Boolean Networks, which are shown not to miss any behaviour achievable by the correspondin...

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Autores principales:	Loïc Paulevé, Juraj Kolčák, Thomas Chatain, Stefan Haar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/b334f95a292b43fca9da83ea0ae7f1a2
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spelling	oai:doaj.org-article:b334f95a292b43fca9da83ea0ae7f1a22021-12-02T19:02:33ZReconciling qualitative, abstract, and scalable modeling of biological networks10.1038/s41467-020-18112-52041-1723https://doaj.org/article/b334f95a292b43fca9da83ea0ae7f1a22020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18112-5https://doaj.org/toc/2041-1723Boolean Networks are a well-established model of biological networks, but usual interpretations can preclude the prediction of behaviours observed in quantitative systems. The authors introduce Most Permissive Boolean Networks, which are shown not to miss any behaviour achievable by the corresponding quantitative model.Loïc PaulevéJuraj KolčákThomas ChatainStefan HaarNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Loïc Paulevé Juraj Kolčák Thomas Chatain Stefan Haar Reconciling qualitative, abstract, and scalable modeling of biological networks
description	Boolean Networks are a well-established model of biological networks, but usual interpretations can preclude the prediction of behaviours observed in quantitative systems. The authors introduce Most Permissive Boolean Networks, which are shown not to miss any behaviour achievable by the corresponding quantitative model.
format	article
author	Loïc Paulevé Juraj Kolčák Thomas Chatain Stefan Haar
author_facet	Loïc Paulevé Juraj Kolčák Thomas Chatain Stefan Haar
author_sort	Loïc Paulevé
title	Reconciling qualitative, abstract, and scalable modeling of biological networks
title_short	Reconciling qualitative, abstract, and scalable modeling of biological networks
title_full	Reconciling qualitative, abstract, and scalable modeling of biological networks
title_fullStr	Reconciling qualitative, abstract, and scalable modeling of biological networks
title_full_unstemmed	Reconciling qualitative, abstract, and scalable modeling of biological networks
title_sort	reconciling qualitative, abstract, and scalable modeling of biological networks
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/b334f95a292b43fca9da83ea0ae7f1a2
work_keys_str_mv	AT loicpauleve reconcilingqualitativeabstractandscalablemodelingofbiologicalnetworks AT jurajkolcak reconcilingqualitativeabstractandscalablemodelingofbiologicalnetworks AT thomaschatain reconcilingqualitativeabstractandscalablemodelingofbiologicalnetworks AT stefanhaar reconcilingqualitativeabstractandscalablemodelingofbiologicalnetworks
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Reconciling qualitative, abstract, and scalable modeling of biological networks

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