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dc.creatorPaun, Andreies
dc.creatorPérez Jiménez, Mario de Jesúses
dc.creatorRomero Campero, Francisco Josées
dc.date.accessioned2017-02-03T08:51:11Z
dc.date.available2017-02-03T08:51:11Z
dc.date.issued2006
dc.identifier.citationPaun, A., Pérez Jiménez, M.d.J., y Romero Campero, F.J. (2006). Modeling Signal Transduction Using P Systems. En Membrane Computing. WMC 2006. Lecture Notes in Computer Science, vol 4361 (pp. 100-122). Berlin: Springer.
dc.identifier.isbn978-3-540-69088-7es
dc.identifier.issn0302-9743es
dc.identifier.urihttp://hdl.handle.net/11441/53578
dc.description.abstractCellular signalling pathways are fundamental to the control and regulation of cell behavior. Understanding of biosignalling network functions is crucial to the study of different diseases and to the design of effective therapies. In this paper we present P systems as a feasible computational modeling tool for cellular signalling pathways that takes into consideration the discrete character of the components of the system and the key role played by membranes in their functioning. We illustrate these cellular models simulating the epidermal growth factor receptor (EGFR) signalling cascade and the FAS–induced apoptosis using a deterministic strategy for the evolution of P systems.es
dc.description.sponsorshipMinisterio de Educación y Ciencia TIN2005-09345-C04-01
dc.description.sponsorshipJunta de Andalucía TIC 581
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofMembrane Computing. WMC 2006. Lecture Notes in Computer Science, vol 4361es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleModeling Signal Transduction Using P Systemses
dc.typeinfo:eu-repo/semantics/bookPartes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDTIN2005-09345-C04-01es
dc.relation.projectIDTIC-581es
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F11963516_7es
dc.identifier.doi10.1007/11963516_7es
dc.contributor.groupUniversidad de Sevilla. TIC193 : Computación Naturales
idus.format.extent23es
dc.publication.initialPage100es
dc.publication.endPage122es
dc.relation.publicationplaceBerlines
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). España
dc.contributor.funderJunta de Andalucía

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