Mostrar el registro sencillo del ítem
dc.contributor.author | González Martínez, José María | es_ES |
dc.contributor.author | Folch-Fortuny, Abel | es_ES |
dc.contributor.author | Llaneras Estrada, Francisco | es_ES |
dc.contributor.author | Tortajada Serra, Marta | es_ES |
dc.contributor.author | Picó Marco, Jesús Andrés | es_ES |
dc.contributor.author | Ferrer, Alberto | es_ES |
dc.date.accessioned | 2015-05-15T11:08:51Z | |
dc.date.available | 2015-05-15T11:08:51Z | |
dc.date.issued | 2014-05-15 | |
dc.identifier.issn | 0169-7439 | |
dc.identifier.uri | http://hdl.handle.net/10251/50289 | |
dc.description.abstract | [EN] Within the emergent field of Systems Biology, mathematical models obtained from physical chemical laws (the so-called first principles-based models) of microbial systems are employed to discern the principles that govern cellular behaviour and achieve a predictive understanding of cellular functions. The reliance on this biochemical knowledge has the drawback that some of the assumptions (specific kinetics of the reaction system, unknown dynamics and values of the model parameters) may not be valid for all the metabolic possible states of the network. In this uncertainty context, the combined use of fundamental knowledge and data measured in the fermentation that describe the behaviour of the microorganism in the manufacturing process is paramount to overcome this problem. In this paper, a grey modelling approach is presented combining data-driven and first principles information at different scales, developed for Pichia pastoris cultures grown on different carbon sources. This approach will allow us to relate patterns of recombinant protein production to intracellular metabolic states and correlate intra and extracellular reactions in order to understand how the internal state of the cells determines the observed behaviour in P. pastoris cultivations. | es_ES |
dc.description.sponsorship | Research in this study was partially supported by the Spanish Ministry of Science and Innovation and FEDER funds from the European Union through grants DPI2011-28112-C04-01 and DPI2011-28112-C04-02. The authors are also grateful to Biopolis SL for supporting this research. We also gratefully acknowledge Associate Professor Jose Camacho for providing the Exploratory Data Analysis Toolbox. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Chemometrics and Intelligent Laboratory Systems | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Metabolic network | es_ES |
dc.subject | Possibilistic consistency analysis | es_ES |
dc.subject | Monte Carlo sampling | es_ES |
dc.subject | Principal Component Analysis | es_ES |
dc.subject | Missing-data methods for Exploratory Data Analysis | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Metabolic flux understanding of Pichia pastoris grown on heterogenous culture media | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.chemolab.2014.02.003 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//DPI2011-28112-C04-01/ES/MONITORIZACION, INFERENCIA, OPTIMIZACION Y CONTROL MULTI-ESCALA: DE CELULAS A BIORREACTORES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//DPI2011-28112-C04-02/ES/MONITORIZACION, INFERENCIA, OPTIMIZACION Y CONTROL MULTI-ESCALA: DE CELULAS A BIORREACTORES. (MULTISCALES)/ | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments | 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 | González Martínez, JM.; Folch-Fortuny, A.; Llaneras Estrada, F.; Tortajada Serra, M.; Picó Marco, JA.; Ferrer, A. (2014). Metabolic flux understanding of Pichia pastoris grown on heterogenous culture media. Chemometrics and Intelligent Laboratory Systems. 134:89-99. https://doi.org/10.1016/j.chemolab.2014.02.003 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.chemolab.2014.02.003 | es_ES |
dc.description.upvformatpinicio | 89 | es_ES |
dc.description.upvformatpfin | 99 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 134 | es_ES |
dc.relation.senia | 266843 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación |