%0 Journal Article %1 Simeonidis2015Genomescale %A Simeonidis, Evangelos %A Price, Nathan D. %D 2015 %J Journal of Industrial Microbiology & Biotechnology %K in-silico metabolic-engineering review %N 3 %P 327--338 %R 10.1007/s10295-014-1576-3 %T Genome-scale modeling for metabolic engineering %U https://doi.org/10.1007/s10295-014-1576-3 %V 42 %X 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 balanceanalysis 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.

@article{Simeonidis2015Genomescale, 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 balanceanalysis 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.}, added-at = {2019-05-30T13:25:52.000+0200}, author = {Simeonidis, Evangelos and Price, Nathan D.}, biburl = {https://www.bibsonomy.org/bibtex/241d36dc7185e924b99e09b45216bff26/karthikraman}, day = 01, description = {Genome-scale modeling for metabolic engineering | SpringerLink}, doi = {10.1007/s10295-014-1576-3}, interhash = {cb1695a9f6275261894a0b7652732114}, intrahash = {41d36dc7185e924b99e09b45216bff26}, issn = {1476-5535}, journal = {Journal of Industrial Microbiology {\&} Biotechnology}, keywords = {in-silico metabolic-engineering review}, month = mar, number = 3, pages = {327--338}, timestamp = {2019-05-30T13:25:52.000+0200}, title = {Genome-scale modeling for metabolic engineering}, url = {https://doi.org/10.1007/s10295-014-1576-3}, volume = 42, year = 2015 }