Auto-Refinement of Genome-Scale Metabolic Network Model

doi:10.3969/j.issn.1673-1689.2017.09.014

Home > Archive>Volume 36, Issue 9, 2017 >982-989. DOI:10.3969/j.issn.1673-1689.2017.09.014

Auto-Refinement of Genome-Scale Metabolic Network Model
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                        10.3969/j.issn.1673-1689.2017.09.014
                    
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KEGGonline database and six subcellular prediction databaseshave been studied for the process of auto-refinement. The weighted scoring mechanism was proposed to analyze the results of subcellular prediction databases，using image processing algorithm to determine high credibility specific reaction.As an illustration example，all of the automatic methods were implemented in the process of genome-scale metabolic network refinement of Spathasporapassalidarum NRRLY- 27907，whichconfirmed that these methods can improve the efficiency of model reconstruction.

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WU Xiaohong, XUE Wei, ZHANG Liang, SHI Guiyang. Auto-Refinement of Genome-Scale Metabolic Network Model[J]. Journal of Food Science and Biotechnology,2017,36(9):982-989.

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Online: October 30,2017
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