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Systems biology based metabolic engineering for non-natural chemicals.
Biz, Alessandra; Proulx, Scott; Xu, Zhiqing; Siddartha, Kavya; Mulet Indrayanti, Alex; Mahadevan, Radhakrishnan.
Afiliación
  • Biz A; Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
  • Proulx S; Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
  • Xu Z; Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
  • Siddartha K; Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
  • Mulet Indrayanti A; Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
  • Mahadevan R; Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada. Electronic address: krishna.mahadevan@utoronto.ca.
Biotechnol Adv ; 37(6): 107379, 2019 11 01.
Article en En | MEDLINE | ID: mdl-30953683
Production of chemicals in microorganisms is no longer restricted to products arising from native metabolic potential. In this review, we highlight the evolution of metabolic engineering studies, from the production of natural chemicals fermented from biomass hydrolysates, to the engineering of microorganisms for the production of non-natural chemicals. Advances in synthetic biology are accelerating the successful development of microbial cell factories to directly produce value-added chemicals. Here we outline the emergence of novel computational tools for the creation of synthetic pathways, for designing artificial enzymes for non-natural reactions and for re-wiring host metabolism to increase the metabolic flux to products. We also highlight exciting opportunities for applying directed evolution of enzymes, dynamic control of growth and production, growth-coupling strategies as well as decoupled strategies based on orthogonal pathways in the context of non-natural chemicals.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biología de Sistemas / Ingeniería Metabólica Tipo de estudio: Prognostic_studies Idioma: En Revista: Biotechnol Adv Año: 2019 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biología de Sistemas / Ingeniería Metabólica Tipo de estudio: Prognostic_studies Idioma: En Revista: Biotechnol Adv Año: 2019 Tipo del documento: Article País de afiliación: Canadá