2021
DOI: 10.1002/biot.202000443
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Knowledge extraction from literature and enzyme sequences complements FBA analysis in metabolic engineering

Abstract: Flux balance analysis (FBA) using genome-scale metabolic model (GSM) is a useful method for improving the bio-production of useful compounds. However, FBA often does not impose important constraints such as nutrients uptakes, by-products excretions and gases (oxygen and carbon dioxide) transfers. Furthermore, important information on metabolic engineering such as enzyme amounts, activities, and characteristics caused by gene expression and enzyme sequences is basically not included in GSM. Therefore, simple FB… Show more

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Cited by 2 publications
(1 citation statement)
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“…The initial application of GSMMs in Haemophilus influenza allowed for the prediction of cell phenotypes through integrative analysis of bioinformatic data . Subsequently, GSMMs have been developed and applied to various microorganisms, including Escherichia coli (model ec_ i ML1515), Limosilactobacillus reuteri (model i TN656), Corynebacterium glutamicum ( i CW773), and many others. Notably, high-quality GEM for nonmodel industrial microorganisms has been established, such as Zymomonas mobiles (model i ZM516), Mortierella alpina (model i CY1106), and A.…”
Section: Introductionmentioning
confidence: 99%
“…The initial application of GSMMs in Haemophilus influenza allowed for the prediction of cell phenotypes through integrative analysis of bioinformatic data . Subsequently, GSMMs have been developed and applied to various microorganisms, including Escherichia coli (model ec_ i ML1515), Limosilactobacillus reuteri (model i TN656), Corynebacterium glutamicum ( i CW773), and many others. Notably, high-quality GEM for nonmodel industrial microorganisms has been established, such as Zymomonas mobiles (model i ZM516), Mortierella alpina (model i CY1106), and A.…”
Section: Introductionmentioning
confidence: 99%