biostudies-otherUnknown108Nicolas Le NovèreBiotechnology and bioengineering655-665https://www.ebi.ac.uk/biostudies/studies/MODEL1507180057biostudies-other20967753Nicolas Le NovèrefalseWidiastuti2010 - Genome-scale metabolic network Zymomonas mobilis (iZM363)<notes xmlns="http://www.sbml.org/sbml/level3/version1/core"> <body xmlns="http://www.w3.org/1999/xhtml"> <div class="dc:title">Widiastuti2010 - Genome-scale metabolicnetwork Zymomonas mobilis (iZM363)</div><div class="dc:bibliographicCitation"> <p>This model is described in the article:</p> <div class="bibo:title"> <a href="http://identifiers.org/pubmed/20967753" title="Access to this publication">Genome-scale modeling and in silico analysis of ethanologenic bacteria Zymomonas mobilis.</a> </div> <div class="bibo:authorList">Widiastuti H, Kim JY, Selvarasu S, Karimi IA, Kim H, Seo JS, Lee DY.</div> <div class="bibo:Journal">Biotechnol. Bioeng. 2011 Mar; 108(3): 655-665</div> <p>Abstract:</p> <div class="bibo:abstract"> <p>Bioethanol has been recognized as a potential alternative energy source. Among various ethanol-producing microbes, Zymomonas mobilis has acquired special attention due to its higher ethanol yield and tolerance. However, cellular metabolism in Z. mobilis remains unclear, hindering its practical application for bioethanol production. To elucidate such physiological characteristics, we reconstructed and validated a genome-scale metabolic network (iZM363) of Z. mobilis ATCC31821 (ZM4) based on its annotated genome and biochemical information. The phenotypic behaviors and metabolic states predicted by our genome-scale model were highly consistent with the experimental observations of Z. mobilis ZM4 strain growing on glucose as well as NMR-measured intracellular fluxes of an engineered strain utilizing glucose, fructose, and xylose. Subsequent comparative analysis with Escherichia coli and Saccharomyces cerevisiae as well as gene essentiality and flux coupling analyses have also confirmed the functional role of pdc and adh genes in the ethanologenic activity of Z. mobilis, thus leading to better understanding of this natural ethanol producer. In future, the current model could be employed to identify potential cell engineering targets, thereby enhancing the productivity of ethanol in Z. mobilis.</p> </div></div><div class="dc:publisher"> <p>This model is hosted on <a href="http://www.ebi.ac.uk/biomodels/">BioModels Database</a> and identified by: <a href="http://identifiers.org/biomodels.db/MODEL1507180057">MODEL1507180057</a>.</p> <p>To cite BioModels Database, please use: <a href="http://identifiers.org/pubmed/20587024" title="Latest BioModels Database publication">BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models</a>.</p></div><div class="dc:license"> <p>To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to <a href="http://creativecommons.org/publicdomain/zero/1.0/" title="Access to: CC0 1.0 Universal (CC0 1.0), Public Domain Dedication">CC0 Public Domain Dedication</a> for more information.</p></div></body> </notes>2015-07-18T00:00:00Z2025-07-15T09:09:33.645Z2025-03-30T22:01:59.624ZMODEL150718005720967753MAMO_0000009null