%0 Journal Article %1 OBrien2015Using %A O'Brien, Edward J. %A Monk, Jonathan M. %A Palsson, Bernhard O. %D 2015 %J Cell %K applications flux-analysis genome-scale metabolic-networks review %N 5 %P 971--987 %T Using Genome-scale Models to Predict Biological Capabilities. %U http://view.ncbi.nlm.nih.gov/pubmed/26000478 %V 161 %X Constraint-based reconstruction and analysis (COBRA) methods at the genome scale have been under development since the first whole-genome sequences appeared in the mid-1990s. A few years ago, this approach began to demonstrate the ability to predict a range of cellular functions, including cellular growth capabilities on various substrates and the effect of gene knockouts at the genome scale. Thus, much interest has developed in understanding and applying these methods to areas such as metabolic engineering, antibiotic design, and organismal and enzyme evolution. This Primer will get you started. Copyright \copyright 2015 Elsevier Inc. All rights reserved.

@article{OBrien2015Using, abstract = {Constraint-based reconstruction and analysis ({COBRA}) methods at the genome scale have been under development since the first whole-genome sequences appeared in the mid-1990s. A few years ago, this approach began to demonstrate the ability to predict a range of cellular functions, including cellular growth capabilities on various substrates and the effect of gene knockouts at the genome scale. Thus, much interest has developed in understanding and applying these methods to areas such as metabolic engineering, antibiotic design, and organismal and enzyme evolution. This Primer will get you started. Copyright {\copyright} 2015 Elsevier Inc. All rights reserved.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {O'Brien, Edward J. and Monk, Jonathan M. and Palsson, Bernhard O.}, biburl = {https://www.bibsonomy.org/bibtex/26d99c5dc46089757388e7d39113b72e8/karthikraman}, citeulike-article-id = {13632273}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/26000478}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=26000478}, day = 21, interhash = {f1aedbf36343a3e749a8a8f49e9e8482}, intrahash = {6d99c5dc46089757388e7d39113b72e8}, issn = {1097-4172}, journal = {Cell}, keywords = {applications flux-analysis genome-scale metabolic-networks review}, month = may, number = 5, pages = {971--987}, pmid = {26000478}, posted-at = {2015-05-29 11:38:43}, priority = {2}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Using Genome-scale Models to Predict Biological Capabilities.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/26000478}, volume = 161, year = 2015 }