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

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

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...

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Main Authors: Noorlin, Mohd Ali, Tsuboi, Ryo, Matsumoto, Yuta, Koishi, Daisuke, Inoue, Kentaro, Maeda, Kazuhiro, Kurata, Hiroyuki
Format: Article
Language:English
Published: Elsevier 2016
Subjects:
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/12892/
http://umpir.ump.edu.my/id/eprint/12892/
http://umpir.ump.edu.my/id/eprint/12892/
http://umpir.ump.edu.my/id/eprint/12892/8/Web%20application%20for%20Genetic%20Modification%20Flux%20with%20database%20to%20estimate%20metabolic%20fluxes%20of%20genetic%20mutants.pdf
id ump-12892
recordtype eprints
spelling ump-128922017-10-16T07:34:30Z http://umpir.ump.edu.my/id/eprint/12892/ Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants Noorlin, Mohd Ali Tsuboi, Ryo Matsumoto, Yuta Koishi, Daisuke Inoue, Kentaro Maeda, Kazuhiro Kurata, Hiroyuki TP Chemical technology 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. Elsevier 2016-01-06 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/12892/8/Web%20application%20for%20Genetic%20Modification%20Flux%20with%20database%20to%20estimate%20metabolic%20fluxes%20of%20genetic%20mutants.pdf 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 http://dx.doi.org/10.1016/j.jbiosc.2015.12.001 DOI: 10.1016/j.jbiosc.2015.12.001
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Noorlin, Mohd Ali
Tsuboi, Ryo
Matsumoto, Yuta
Koishi, Daisuke
Inoue, Kentaro
Maeda, Kazuhiro
Kurata, Hiroyuki
Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants
description 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.
format Article
author Noorlin, Mohd Ali
Tsuboi, Ryo
Matsumoto, Yuta
Koishi, Daisuke
Inoue, Kentaro
Maeda, Kazuhiro
Kurata, Hiroyuki
author_facet Noorlin, Mohd Ali
Tsuboi, Ryo
Matsumoto, Yuta
Koishi, Daisuke
Inoue, Kentaro
Maeda, Kazuhiro
Kurata, Hiroyuki
author_sort Noorlin, Mohd Ali
title Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants
title_short Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants
title_full Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants
title_fullStr Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants
title_full_unstemmed Web Application for Genetic Modification Flux with Database to Estimate Metabolic Fluxes of Genetic Mutants
title_sort web application for genetic modification flux with database to estimate metabolic fluxes of genetic mutants
publisher Elsevier
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/12892/
http://umpir.ump.edu.my/id/eprint/12892/
http://umpir.ump.edu.my/id/eprint/12892/
http://umpir.ump.edu.my/id/eprint/12892/8/Web%20application%20for%20Genetic%20Modification%20Flux%20with%20database%20to%20estimate%20metabolic%20fluxes%20of%20genetic%20mutants.pdf
first_indexed 2023-09-18T22:14:54Z
last_indexed 2023-09-18T22:14:54Z
_version_ 1777415272271970304

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