|dc.identifier.citation||Imielinski, Marcin, Calin Belta. "Exploiting the pathway structure of metabolism to reveal high-order epistasis" BMC Systems Biology 2:40. (2008)||en_US|
|dc.description.abstract||BACKGROUND. Biological robustness results from redundant pathways that achieve an essential objective, e.g. the production of biomass. As a consequence, the biological roles of many genes can only be revealed through multiple knockouts that identify a set of genes as essential for a given function. The identification of such "epistatic" essential relationships between network components is critical for the understanding and eventual manipulation of robust systems-level phenotypes. RESULTS. We introduce and apply a network-based approach for genome-scale metabolic knockout design. We apply this method to uncover over 11,000 minimal knockouts for biomass production in an in silico genome-scale model of E. coli. A large majority of these "essential sets" contain 5 or more reactions, and thus represent complex epistatic relationships between components of the E. coli metabolic network. CONCLUSION. The complex minimal biomass knockouts discovered with our approach illuminate robust essential systems-level roles for reactions in the E. coli metabolic network. Unlike previous approaches, our method yields results regarding high-order epistatic relationships and is applicable at the genome-scale.||en_US|
|dc.description.sponsorship||National Institutes of Health National Institute of General Medical Sciences (NIH 5T32GM007 170-32)||en_US|
|dc.rights||Copyright 2008 Imielinski and Belta; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.||en_US|
|dc.title||Exploiting the Pathway Structure of Metabolism to Reveal High-Order Epistasis||en_US|
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's license is described as Copyright 2008 Imielinski and Belta; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.