Identification of metabolic engineering strategies for rerouting intracellular fluxes towards a desired product is often a challenging task owing to the topological and regulatory complexity of metabolic networks. Genome-scale metabolic models help tackling this complexity through systematic consideration of mass balance and reaction directionality constraints over the entire network. Here, we describe how genome-scale metabolic models can be used for identifying gene deletion targets leading to increased production of the desired product. Vanillin production in Saccharomyces cerevisiae is used as a case study throughout this chapter.
%0 Journal Article
%1 Brochado2014ModelGuided
%A Brochado, Ana Rita R.
%A Patil, Kiran Raosaheb R.
%D 2014
%J Methods in molecular biology (Clifton, N.J.)
%K genome-scale metabolic-engineering metabolic-networks yeast
%P 281--294
%R 10.1007/978-1-4939-0563-8\_17
%T Model-Guided Identification of Gene Deletion Targets for Metabolic Engineering in Saccharomyces cerevisiae.
%U http://dx.doi.org/10.1007/978-1-4939-0563-8\_17
%V 1152
%X Identification of metabolic engineering strategies for rerouting intracellular fluxes towards a desired product is often a challenging task owing to the topological and regulatory complexity of metabolic networks. Genome-scale metabolic models help tackling this complexity through systematic consideration of mass balance and reaction directionality constraints over the entire network. Here, we describe how genome-scale metabolic models can be used for identifying gene deletion targets leading to increased production of the desired product. Vanillin production in Saccharomyces cerevisiae is used as a case study throughout this chapter.
@article{Brochado2014ModelGuided,
abstract = {Identification of metabolic engineering strategies for rerouting intracellular fluxes towards a desired product is often a challenging task owing to the topological and regulatory complexity of metabolic networks. Genome-scale metabolic models help tackling this complexity through systematic consideration of mass balance and reaction directionality constraints over the entire network. Here, we describe how genome-scale metabolic models can be used for identifying gene deletion targets leading to increased production of the desired product. Vanillin production in Saccharomyces cerevisiae is used as a case study throughout this chapter.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Brochado, Ana Rita R. and Patil, Kiran Raosaheb R.},
biburl = {https://www.bibsonomy.org/bibtex/2095dd74cff594e4a7d4e0d405c98b157/karthikraman},
citeulike-article-id = {13152119},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-1-4939-0563-8\_17},
citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/24744040},
citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=24744040},
doi = {10.1007/978-1-4939-0563-8\_17},
interhash = {79cafb6cebb68db75130571891fac73d},
intrahash = {095dd74cff594e4a7d4e0d405c98b157},
issn = {1940-6029},
journal = {Methods in molecular biology (Clifton, N.J.)},
keywords = {genome-scale metabolic-engineering metabolic-networks yeast},
pages = {281--294},
pmid = {24744040},
posted-at = {2014-04-28 09:46:58},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {{Model-Guided} Identification of Gene Deletion Targets for Metabolic Engineering in Saccharomyces cerevisiae.},
url = {http://dx.doi.org/10.1007/978-1-4939-0563-8\_17},
volume = 1152,
year = 2014
}