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dc.creatorPagliarini, Robertoes
dc.creatorBianco, Lucaes
dc.creatorManca, Vincenzoes
dc.creatorBessant, Conrades
dc.date.accessioned2016-03-30T07:49:01Z
dc.date.available2016-03-30T07:49:01Z
dc.date.issued2010
dc.identifier.isbn9788461423576es
dc.identifier.urihttp://hdl.handle.net/11441/39099
dc.description.abstractBistability, or more generally multistability, is an important recurring theme in biological systems. In particular, the discovery of bistability in signal pathways of genetic networks, prompts strong interest in understanding both the design and function of these networks. Therefore, modelling these systems is crucial to understand their behaviors, and also to analyze and identify characteristics that would otherwise be di cult to realize. Although di erent classes of models have been used to study bistable dynamics, there is a lag in the development of models for bistable systems starting from experimental data. This is due to the lack of detailed knowledge of biochemical reactions and kinetic rates. In this work, we propose a procedure to develop, starting from observed dynamics, Metabolic P models for multistable processes. As a case study, a mathematical model of the Schl ogel's dynamics, which represents an example of a chemical reaction system that exhibits bistability, is inferred starting from observed stochastic bistable dynamics. Since, recent experiments indicate that noise plays an important role in the switching of bistable systems, the success of this work suggests that this approach is a very promising one for studying dynamics and role of noise in biological systems, such as, for example, genetic regulatory networks.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherFénix Editoraes
dc.relation.ispartofProceedings of the Eighth Brainstorming Week on Membrane Computing, 205-218. Sevilla, E.T.S. de Ingeniería Informática, 1-5 de Febrero, 2010es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleLinking Bistable Dynamics to Metabolic P Systemses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/39099

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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