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Forward design of a complex enzyme cascade reaction

Enzymatic reaction networks are unique in that one can operate a large number of reactions under the same set of conditions concomitantly in one pot, but the nonlinear kinetics of the enzymes and the resulting system complexity have so far defeated rational design processes for the construction of s...

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Autores principales: Hold, Christoph, Billerbeck, Sonja, Panke, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052792/
https://www.ncbi.nlm.nih.gov/pubmed/27677244
http://dx.doi.org/10.1038/ncomms12971
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author Hold, Christoph
Billerbeck, Sonja
Panke, Sven
author_facet Hold, Christoph
Billerbeck, Sonja
Panke, Sven
author_sort Hold, Christoph
collection PubMed
description Enzymatic reaction networks are unique in that one can operate a large number of reactions under the same set of conditions concomitantly in one pot, but the nonlinear kinetics of the enzymes and the resulting system complexity have so far defeated rational design processes for the construction of such complex cascade reactions. Here we demonstrate the forward design of an in vitro 10-membered system using enzymes from highly regulated biological processes such as glycolysis. For this, we adapt the characterization of the biochemical system to the needs of classical engineering systems theory: we combine online mass spectrometry and continuous system operation to apply standard system theory input functions and to use the detailed dynamic system responses to parameterize a model of sufficient quality for forward design. This allows the facile optimization of a 10-enzyme cascade reaction for fine chemical production purposes.
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spelling pubmed-50527922016-10-21 Forward design of a complex enzyme cascade reaction Hold, Christoph Billerbeck, Sonja Panke, Sven Nat Commun Article Enzymatic reaction networks are unique in that one can operate a large number of reactions under the same set of conditions concomitantly in one pot, but the nonlinear kinetics of the enzymes and the resulting system complexity have so far defeated rational design processes for the construction of such complex cascade reactions. Here we demonstrate the forward design of an in vitro 10-membered system using enzymes from highly regulated biological processes such as glycolysis. For this, we adapt the characterization of the biochemical system to the needs of classical engineering systems theory: we combine online mass spectrometry and continuous system operation to apply standard system theory input functions and to use the detailed dynamic system responses to parameterize a model of sufficient quality for forward design. This allows the facile optimization of a 10-enzyme cascade reaction for fine chemical production purposes. Nature Publishing Group 2016-09-28 /pmc/articles/PMC5052792/ /pubmed/27677244 http://dx.doi.org/10.1038/ncomms12971 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Hold, Christoph
Billerbeck, Sonja
Panke, Sven
Forward design of a complex enzyme cascade reaction
title Forward design of a complex enzyme cascade reaction
title_full Forward design of a complex enzyme cascade reaction
title_fullStr Forward design of a complex enzyme cascade reaction
title_full_unstemmed Forward design of a complex enzyme cascade reaction
title_short Forward design of a complex enzyme cascade reaction
title_sort forward design of a complex enzyme cascade reaction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052792/
https://www.ncbi.nlm.nih.gov/pubmed/27677244
http://dx.doi.org/10.1038/ncomms12971
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