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dc.creatorCheruku, Smithaes
dc.creatorPaun, Andreies
dc.creatorRomero Campero, Francisco Josées
dc.creatorPérez Jiménez, Mario de Jesúses
dc.creatorIbarra, Óscar H.es
dc.date.accessioned2017-12-22T09:03:02Z
dc.date.available2017-12-22T09:03:02Z
dc.date.issued2007
dc.identifier.citationCheruku, S., Paun, A., Romero Campero, F.J., Pérez Jiménez, M.d.J. y Ibarra, Ó.H. (2007). Simulating FAS-induced apoptosis by using P systems. Progress in Natural Science, 17 (4), 424-431.
dc.identifier.issn1002-0071es
dc.identifier.urihttp://hdl.handle.net/11441/67977
dc.description.abstractIn contrast to differential equations, P systems are an unconven- tional model of computation which takes into consideration the discrete character of the quantity of components and the inherent randomness that exists in biological phenomena. The key feature of P systems is their compartmentalised structure which represents the heterogeneity of the structural organisation of the cells, and where one can take into account the role played by membranes in the functioning of the system, for example signalling at the cell surface [13], selective uptake of sub- stances from the media [14], diffusion across different compartments [15], etc. We show here that P systems can be a reliable tool for Systems Biology and could even outperform in some cases the current simu- lation techniques based on differential equations. We will also use a strategy based on the well known Gillespie algorithm [4] but running on more than one compartment called Multi-compartmental Gillespie Algorithm [13].es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherTaylor and Francis Onlinees
dc.relation.ispartofProgress in Natural Science, 17 (4), 424-431.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleSimulating FAS-induced apoptosis by using P systemses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.publisherversionhttp://www.tandfonline.com/doi/abs/10.1080/10020070708541019?journalCode=tpns20es
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Naturales
idus.format.extent15es
dc.journaltitleProgress in Natural Sciencees
dc.publication.volumen17es
dc.publication.issue4es
dc.publication.initialPage424es
dc.publication.endPage431es
dc.identifier.sisius6630030es

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