Affiliation:
1. grid.64212.33 0000000404632320 Institute for Systems Biology 401 Terry Avenue 98109 North Seattle WA USA
2. grid.16008.3f 0000000122959843 Luxembourg Centre for Systems Biomedicine University of Luxembourg 7, avenue des Hauts-Fourneaux L-4362 Esch-Sur-Alzette Luxembourg
Abstract
Abstract
We focus on the application of constraint-based methodologies and, more specifically, flux balance analysis in the field of metabolic engineering, and enumerate recent developments and successes of the field. We also review computational frameworks that have been developed with the express purpose of automatically selecting optimal gene deletions for achieving improved production of a chemical of interest. The application of flux balance analysis methods in rational metabolic engineering requires a metabolic network reconstruction and a corresponding in silico metabolic model for the microorganism in question. For this reason, we additionally present a brief overview of automated reconstruction techniques. Finally, we emphasize the importance of integrating metabolic networks with regulatory information—an area which we expect will become increasingly important for metabolic engineering—and present recent developments in the field of metabolic and regulatory integration.
Publisher
Oxford University Press (OUP)
Subject
Applied Microbiology and Biotechnology,Biotechnology,Bioengineering
Cited by
84 articles.
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