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Computational Architecture for Metabolic Network Large Scale Simulation

dc.contributor.advisorLemke, Ney
dc.contributor.authorBedin, Guilherme Balestieript_BR
dc.date.accessioned2015-03-05T13:53:44Z
dc.date.accessioned2022-09-22T19:05:08Z
dc.date.available2015-03-05T13:53:44Z
dc.date.available2022-09-22T19:05:08Z
dc.date.issued2005-02-23
dc.identifier.urihttps://hdl.handle.net/20.500.12032/56743
dc.description.abstractThe amount of biological data is growing every day. Many organisms had their metabolic networks characterized. These studies permit a better understanding of cell behavior, and can be used to aid rational drug design and prediction of its side e®ects. One of the main tools to explore metabolic networks is computer simulations, but the size and complexity of networks impacts on the simulation costs. These systems have a stochastic behavior, they can take di®erent paths depending on environmental conditions. Metabolic network simulation using a stochastic model computation can be distributed, but they have a high computational cost. On the other hand, the grid technology is evolving and becaming an alternative to supercomputers on high performance computing. The study of complex metabolic networks can be done on acceptable time by the employment of grids. In this work we describe an implementation of a computational architeture to execute this kind of large scale simulation. This architeture explores charecteren
dc.description.sponsorshipNenhumapt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio do Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectarquitetura de redespt_BR
dc.titleArquitetura computacional para simulação de redes metabólicas em larga escalapt_BR
dc.titleComputational Architecture for Metabolic Network Large Scale Simulationen
dc.typeDissertaçãopt_BR


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