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dc.contributor.advisorMedina Torres, Miguel Ángel
dc.contributor.advisorSánchez Jiménez, Francisca
dc.contributor.authorReyes Palomares, Armando Adolfo
dc.contributor.otherBiología Molecular y Bioquímicaes_ES
dc.date.accessioned2014-07-01T12:07:28Z
dc.date.available2015-06-30T04:00:02Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10630/7748
dc.description.abstractBiological systems are in a constant process of innovation as an essential precondition to evolve. For this reason, the emergence of phenotypic variation is an inherent property of complex adaptive systems. Even though living systems acquire robustness to internal and external disturbances during the evolutionary process, pathological conditions entail impairments to their functionality. This is the rationale for studying biomedical issues according to the organizational properties of biological systems, with the aim of understanding the mechanisms of diseases. I first discuss the theoretical background that is suitable for the research included in this Thesis, such as my own interpretation of systems biology, the current theories about the origin of the biological modularity and some evolutionary considerations that concern in the genotype-phenotype relationships. In this section, I also argue the use and the development of integrative systems biology methods that should be addressed to evaluate disease modules: computational models (i.e. mathematical and network-based models) and other standardized efforts (ontologies and different databases with biological and biomedical data). Then, I enunciate the hypothesis and declare the objectives that motivated this research: i) mathematical modelling based on kinetic law formalism for studying the functional modularity of the metabolism; ii) the development of a workflow to integrate metabolic and kinetic data from different databases for metabolic modelling; iii) the evaluation of the functional coherence in phenotypic relationships between disease-causing genes by using network-based analysis; iv) the development of an integrative framework of biomedical information; v) the use of network medicine approaches to study the phenotypic and genotypic relationships in a heterogeneous group of patients with genetic syndromes. Finally, the results derived from the research carried out in this Thesis are included in the form of already published articles and manuscripts (either submitted or in preparation).es_ES
dc.language.isoenges_ES
dc.publisherUniversidad de Málaga, Servicio de Publicaciones y Divulgación Científicaes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectBiología de sistemas - Tesis doctoraleses_ES
dc.subjectEnfermedades genéticas - Tesis doctoraleses_ES
dc.subject.otherSystems Biologyes_ES
dc.subject.otherNetwork Biologyes_ES
dc.subject.otherBioinformaticses_ES
dc.subject.otherGenetic Diseaseses_ES
dc.subject.otherMetabolic Modelinges_ES
dc.titleSystems Biology Approaches to Evaluate Disease Modularityes_ES
dc.typeinfo:eu-repo/semantics/doctoralThesises_ES
dc.centroFacultad de Cienciases_ES


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