caa a22 4500 606212493 CHVBK 20210128101043.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s10295-014-1576-3 doi (NATIONALLICENCE)springer-10.1007/s10295-014-1576-3 Genome-scale modeling for metabolic engineering [Elektronische Daten] [Evangelos Simeonidis, Nathan Price] 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. Society for Industrial Microbiology and Biotechnology, 2015 Flux balance analysis nationallicence Metabolic engineering nationallicence Metabolic reconstructions nationallicence Automated network reconstruction nationallicence Gene regulatory networks nationallicence Simeonidis Evangelos Institute for Systems Biology, 401 Terry Avenue, 98109, North Seattle, WA, USA aut Price Nathan Institute for Systems Biology, 401 Terry Avenue, 98109, North Seattle, WA, USA aut Journal of Industrial Microbiology & Biotechnology Springer Berlin Heidelberg 42/3(2015-03-01), 327-338 1367-5435 42:3<327 2015 42 10295 https://doi.org/10.1007/s10295-014-1576-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 review-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10295-014-1576-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Simeonidis Evangelos Institute for Systems Biology, 401 Terry Avenue, 98109, North Seattle, WA, USA aut NATIONALLICENCE 700 1- Price Nathan Institute for Systems Biology, 401 Terry Avenue, 98109, North Seattle, WA, USA aut NATIONALLICENCE 773 0- Journal of Industrial Microbiology & Biotechnology Springer Berlin Heidelberg 42/3(2015-03-01), 327-338 1367-5435 42:3<327 2015 42 10295