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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| Format: | Article |
| Language: | en |
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Elsevier
2016
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| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/12892/ http://dx.doi.org/10.1016/j.jbiosc.2015.12.001 |
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| 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 |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.12892 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | eprints |
| spelling | my.ump.umpir.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. (Published) http://dx.doi.org/10.1016/j.jbiosc.2015.12.001 DOI: 10.1016/j.jbiosc.2015.12.001 |
| 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 |
| title | 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_short | 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 |
| topic | TP Chemical technology |
| url | 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 http://umpir.ump.edu.my/id/eprint/12892/ http://dx.doi.org/10.1016/j.jbiosc.2015.12.001 |
| url_provider | http://umpir.ump.edu.my/ |