Title |
Flux variability scanning based on enforced objective flux for identifying gene amplification targets
|
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Published in |
BMC Systems Biology, August 2012
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DOI | 10.1186/1752-0509-6-106 |
Pubmed ID | |
Authors |
Jong Myoung Park, Hye Min Park, Won Jun Kim, Hyun Uk Kim, Tae Yong Kim, Sang Yup Lee |
Abstract |
In order to reduce time and efforts to develop microbial strains with better capability of producing desired bioproducts, genome-scale metabolic simulations have proven useful in identifying gene knockout and amplification targets. Constraints-based flux analysis has successfully been employed for such simulation, but is limited in its ability to properly describe the complex nature of biological systems. Gene knockout simulations are relatively straightforward to implement, simply by constraining the flux values of the target reaction to zero, but the identification of reliable gene amplification targets is rather difficult. Here, we report a new algorithm which incorporates physiological data into a model to improve the model's prediction capabilities and to capitalize on the relationships between genes and metabolic fluxes. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Singapore | 1 | <1% |
Denmark | 1 | <1% |
Mexico | 1 | <1% |
Unknown | 125 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 26% |
Researcher | 27 | 20% |
Student > Master | 18 | 14% |
Student > Bachelor | 12 | 9% |
Student > Doctoral Student | 6 | 5% |
Other | 16 | 12% |
Unknown | 19 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 39 | 29% |
Biochemistry, Genetics and Molecular Biology | 23 | 17% |
Engineering | 19 | 14% |
Chemical Engineering | 7 | 5% |
Computer Science | 7 | 5% |
Other | 9 | 7% |
Unknown | 29 | 22% |