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Interval and Possibilistic Methods for Constraint-Based Metabolic Models

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Interval and Possibilistic Methods for Constraint-Based Metabolic Models

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dc.contributor.advisor Picó Marco, Jesús Andrés es_ES
dc.contributor.author Llaneras Estrada, Francisco es_ES
dc.date.accessioned 2011-03-23T10:34:20Z
dc.date.available 2011-03-23T10:34:20Z
dc.date.created 2011-03-15T09:00:00Z es_ES
dc.date.issued 2011-03-23T10:34:15Z es_ES
dc.identifier.uri http://hdl.handle.net/10251/10528
dc.description.abstract This thesis is devoted to the study and application of constraint-based metabolic models. The objective was to find simple ways to handle the difficulties that arise in practice due to uncertainty (knowledge is incomplete, there is a lack of measurable variables, and those available are imprecise). With this purpose, tools have been developed to model, analyse, estimate and predict the metabolic behaviour of cells. The document is structured in three parts. First, related literature is revised and summarised. This results in a unified perspective of several methodologies that use constraint-based representations of the cell metabolism. Three outstanding methods are discussed in detail, network-based pathways analysis (NPA), metabolic flux analysis (MFA), and flux balance analysis (FBA). Four types of metabolic pathways are also compared to clarify the subtle differences among them. The second part is devoted to interval methods for constraint-based models. The first contribution is an interval approach to traditional MFA, particularly useful to estimate the metabolic fluxes under data scarcity (FS-MFA). These estimates provide insight on the internal state of cells, which determines the behaviour they exhibit at given conditions. The second contribution is a procedure for monitoring the metabolic fluxes during a cultivation process that uses FS-MFA to handle uncertainty. The third part of the document addresses the use of possibility theory. The main contribution is a possibilistic framework to (a) evaluate model and measurements consistency, and (b) perform flux estimations (Poss-MFA). It combines flexibility on the assumptions and computational efficiency. Poss-MFA is also applied to monitoring fluxes and metabolite concentrations during a cultivation, information of great use for fault-detection and control of industrial processes. Afterwards, the FBA problem is addressed. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.source Riunet
dc.subject Models es_ES
dc.subject Systems biology es_ES
dc.subject Biological systems es_ES
dc.subject Metabolic network es_ES
dc.subject Constraint-based model es_ES
dc.subject Metabolic flux analysis es_ES
dc.subject Uncertainty es_ES
dc.subject Estimation es_ES
dc.subject Monitoring es_ES
dc.subject Validation es_ES
dc.subject Pichia pastoris es_ES
dc.subject Cho cells es_ES
dc.subject Escherichia coli es_ES
dc.subject Reliability es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Interval and Possibilistic Methods for Constraint-Based Metabolic Models
dc.type Tesis doctoral es_ES
dc.identifier.doi 10.4995/Thesis/10251/10528 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Llaneras Estrada, F. (2011). Interval and Possibilistic Methods for Constraint-Based Metabolic Models [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/10528 es_ES
dc.description.accrualMethod Palancia es_ES
dc.type.version info:eu-repo/semantics/acceptedVersion es_ES
dc.relation.tesis 3499 es_ES


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