Hybrid metabolic flux analysis: combining stoichiometric and statistical constraints to model the formation of complex recombinant products |
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| Authors: | Nuno Carinhas Vicente Bernal Ana P Teixeira Manuel JT Carrondo Paula M Alves Rui Oliveira |
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| Affiliation: | 1.Instituto de Tecnologia Quimica e Biológica-Universidade Nova de Lisboa/Instituto de Biologia Experimental e Tecnológica (ITQB-UNL/IBET),Oeiras,Portugal;2.Departamento de Bioquímica y Biología Molecular B e Inmunología,Facultad de Química, Universidad de Murcia,Murcia,Spain;3.Chemistry Department,REQUIMTE, Systems Biology&Engineering Group, Universidade Nova de Lisboa,Caparica,Portugal |
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| Abstract: | Background Stoichiometric models constitute the basic framework for fluxome quantification in the realm of metabolic engineering. A recurrent bottleneck, however, is the establishment of consistent stoichiometric models for the synthesis of recombinant proteins or viruses. Although optimization algorithms for in silico metabolic redesign have been developed in the context of genome-scale stoichiometric models for small molecule production, still rudimentary knowledge of how different cellular levels are regulated and phenotypically expressed prevents their full applicability for complex product optimization. |
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