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Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case

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Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case

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Boada Acosta, YF.; Reynoso Meza, G.; Picó Marco, JA.; Vignoni, A. (2016). Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case. BMC Systems Biology. 10:1-19. doi:10.1186/s12918-016-0269-0

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/85661

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Title: Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial
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Abstract:
Background: Model based design plays a fundamental role in synthetic biology. Exploiting modularity, i.e. using biological parts and interconnecting them to build new and more complex biological circuits is one of the key ...[+]
Subjects: Biological circuits , Dynamic behavior , Multi-objective optimization , Kinetic parameters , Biological tuning knobs
Copyrigths: Reconocimiento (by)
Source:
BMC Systems Biology. (issn: 1752-0509 )
DOI: 10.1186/s12918-016-0269-0
Publisher:
BioMed Central
Publisher version: http://doi.org/10.1186/s12918-016-0269-0
Thanks:
Research in this area is partially supported by Spanish government and European Union (FEDER-CICYT DPI2011-28112-C04-01, and DPI2014-55276-C5-1-R). Yadira Boada thanks grant FPI/2013-3242 of Universitat Politecnica de ...[+]
Type: Artículo

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