Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants

Noorlin, Mohd Ali and Tsuboi, Ryo and Matsumoto, Yuta and Koishi, Daisuke and Inoue, Kentaro and Maeda, Kazuhiro and Kurata, Hiroyuki (2016) Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants. Journal of Bioscience and Bioengineering, 122 (1). pp. 111-116. ISSN 1389-1723. (Published)

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Abstract

Computational analysis of metabolic fluxes is essential in understanding the structure and function of a metabolic network and in rationally designing genetically modified mutants for an engineering purpose. We had presented the genetic modification flux (GMF) that predicts the flux distribution of a broad range of genetically modified mutants. To enhance the feasibility and usability of GMF, we have developed a web application with a metabolic network database to predict a flux distribution of genetically modified mutants. One hundred and twelve data sets of Escherichia coli, Corynebacterium glutamicum, Saccharomyces cerevisiae, and Chinese hamster ovary were registered as standard models.

Item Type:	Article
Uncontrolled Keywords:	Systems biology; Metabolic flux analysis; Elementary mode; Metabolic flux estimation; Genetic mutant database; Metabolic network data; Flux mutant prediction; Genetic modification
Subjects:	T Technology > TP Chemical technology
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Ms. Noorlin Mohd Ali
Date Deposited:	20 Apr 2016 01:58
Last Modified:	16 Oct 2017 07:34
URI:	http://umpir.ump.edu.my/id/eprint/12892
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