%0 Journal Article %1 King2015Nextgeneration %A King, Zachary A. %A Lloyd, Colton J. %A Feist, Adam M. %A Palsson, Bernhard O. %D 2015 %J Current opinion in biotechnology %K genome-scale metabolic-engineering metabolic-networks %P 23--29 %R 10.1016/j.copbio.2014.12.016 %T Next-generation genome-scale models for metabolic engineering. %U http://dx.doi.org/10.1016/j.copbio.2014.12.016 %V 35 %X Constraint-based reconstruction and analysis (COBRA) methods have become widely used tools for metabolic engineering in both academic and industrial laboratories. By employing a genome-scale in silico representation of the metabolic network of a host organism, COBRA methods can be used to predict optimal genetic modifications that improve the rate and yield of chemical production. A new generation of COBRA models and methods is now being developed--encompassing many biological processes and simulation strategies-and next-generation models enable new types of predictions. Here, three key examples of applying COBRA methods to strain optimization are presented and discussed. Then, an outlook is provided on the next generation of COBRA models and the new types of predictions they will enable for systems metabolic engineering. Copyright \copyright 2014 Elsevier Ltd. All rights reserved.

@article{King2015Nextgeneration, abstract = {Constraint-based reconstruction and analysis ({COBRA}) methods have become widely used tools for metabolic engineering in both academic and industrial laboratories. By employing a genome-scale in silico representation of the metabolic network of a host organism, {COBRA} methods can be used to predict optimal genetic modifications that improve the rate and yield of chemical production. A new generation of {COBRA} models and methods is now being developed--encompassing many biological processes and simulation strategies-and next-generation models enable new types of predictions. Here, three key examples of applying {COBRA} methods to strain optimization are presented and discussed. Then, an outlook is provided on the next generation of {COBRA} models and the new types of predictions they will enable for systems metabolic engineering. Copyright {\copyright} 2014 Elsevier Ltd. All rights reserved.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {King, Zachary A. and Lloyd, Colton J. and Feist, Adam M. and Palsson, Bernhard O.}, biburl = {https://www.bibsonomy.org/bibtex/2e1ccc3fb0b96c51ca8f4820dee53a6db/karthikraman}, citeulike-article-id = {13503164}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.copbio.2014.12.016}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/25575024}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=25575024}, day = 6, doi = {10.1016/j.copbio.2014.12.016}, interhash = {b9b492e008dedaa03458450a5fa28789}, intrahash = {e1ccc3fb0b96c51ca8f4820dee53a6db}, issn = {1879-0429}, journal = {Current opinion in biotechnology}, keywords = {genome-scale metabolic-engineering metabolic-networks}, month = dec, pages = {23--29}, pmid = {25575024}, posted-at = {2015-01-28 15:59:24}, priority = {2}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Next-generation genome-scale models for metabolic engineering.}, url = {http://dx.doi.org/10.1016/j.copbio.2014.12.016}, volume = 35, year = 2015 }