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: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2016
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| Subjects: | |
| 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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| Summary: | 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. |
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