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Modeling and Optimization of a Molecular Biocontroller for the Regulation of Complex Metabolic Pathways

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Modeling and Optimization of a Molecular Biocontroller for the Regulation of Complex Metabolic Pathways

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dc.contributor.author Boada-Acosta, Yadira Fernanda es_ES
dc.contributor.author Santos-Navarro, Fernando Nóbel es_ES
dc.contributor.author Picó, Jesús es_ES
dc.contributor.author Vignoni, Alejandro es_ES
dc.date.accessioned 2023-06-27T18:00:58Z
dc.date.available 2023-06-27T18:00:58Z
dc.date.issued 2022-03-29 es_ES
dc.identifier.uri http://hdl.handle.net/10251/194571
dc.description.abstract [EN] Achieving optimal production in microbial cell factories, robustness against changing intracellular and environmental perturbations requires the dynamic feedback regulation of the pathway of interest. Here, we consider a merging metabolic pathway motif, which appears in a wide range of metabolic engineering applications, including the production of phenylpropanoids among others. We present an approach to use a realistic model that accounts for in vivo implementation and then propose a methodology based on multiobjective optimization for the optimal tuning of the gene circuit parts composing the biomolecular controller and biosensor devices for a dynamic regulation strategy. We show how this approach can deal with the trade-offs between the performance of the regulated pathway, robustness to perturbations, and stability of the feedback loop. Using realistic models, our results suggest that the strategies for fine-tuning the trade-offs among performance, robustness, and stability in dynamic pathway regulation are complex. It is not always possible to infer them by simple inspection. This renders the use of the multiobjective optimization methodology valuable and necessary. es_ES
dc.description.sponsorship This research was funded by MCIN/AEI/10.13039/501100011033 grant number PID 2020-117271RB-C21. YB thanks to Universitat Politècnica de València (Grant PAID-10-21 Acceso al Sistema Español de Ciencia e Innovación), and Secretaría de Educación Superior, Ciencia, Tecnología e Innovación-Ecuador (Scholarship Convocatoria Abierta 2011). FS-N is grateful to grant PAID-01-2017 from Universitat Politècnica de València. es_ES
dc.language Inglés es_ES
dc.publisher Frontiers Media SA es_ES
dc.relation.ispartof Frontiers in Molecular Biosciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Metabolic pathway es_ES
dc.subject Dynamic regulation es_ES
dc.subject Biomolecular antithetic controller es_ES
dc.subject Extended biosensor es_ES
dc.subject Tuning es_ES
dc.subject Gene circuit parts es_ES
dc.subject Multiobjective optimization es_ES
dc.subject Modeling biological systems es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Modeling and Optimization of a Molecular Biocontroller for the Regulation of Complex Metabolic Pathways es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3389/fmolb.2022.801032 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117271RB-C21/ES/REGULACION DINAMICA MULTI-ESCALA EN INGENIERIA METABOLICA: CONTROL REALIMENTADO Y CICLO DBTL AUTOMATIZADO / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-10-21/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-01-17/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Boada-Acosta, YF.; Santos-Navarro, FN.; Picó, J.; Vignoni, A. (2022). Modeling and Optimization of a Molecular Biocontroller for the Regulation of Complex Metabolic Pathways. Frontiers in Molecular Biosciences. 9:1-14. https://doi.org/10.3389/fmolb.2022.801032 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3389/fmolb.2022.801032 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 14 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.identifier.eissn 2296-889X es_ES
dc.identifier.pmid 35425808 es_ES
dc.identifier.pmcid PMC9001882 es_ES
dc.relation.pasarela S\481167 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, Ecuador es_ES
upv.costeAPC 2793,78 es_ES


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