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Metabolic Algorithm with Time-varying Reaction Maps


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dc.creator Bianco, Luca
dc.creator Fontana, Federico
dc.creator Manca, Vincenzo 2016-02-25T10:07:51Z 2016-02-25T10:07:51Z 2005
dc.identifier.isbn 84-609-6771-9 es
dc.description.abstract A symbolic-based approach to modelling biochemical processes and cellular dynamics is likely to turn useful in computational biology, where attempts to represent the cell as a huge, complex dynamic system must trade with the linguistic nature of the DNA and the individual behavior of the organelles living within. The early version of the metabolic algorithm gave a first answer to the problem of representing oscillatory biological phenomena, so far being treated with traditional (differential) mathematical tools, in terms of rewriting systems. We are now working on a further version of this algorithm, in which the rule application is tuned by reaction maps depending on the specific phenomenon under consideration. Successful simulations of the Brusselator, the Lotka-Volterra population dynamics and the PKC activation foster potential applications of the algorithm in systems biology. es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Fénix Editora es
dc.relation.ispartof Proceedings of the Third Brainstorming Week on Membrane Computing, 43-61. Sevilla, E.T.S. de Ingeniería Informática, 31 de Enero-4 de Febrero, 2005, es
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri *
dc.title Metabolic Algorithm with Time-varying Reaction Maps es
dc.type info:eu-repo/semantics/conferenceObject es
dc.type.version info:eu-repo/semantics/publishedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess
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