Big data mining, rational modification, and ancestral sequence reconstruction inferred multiple xylose isomerases for biorefinery.

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第一作者： Sitong,Chen

第一单位： School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

作者： Sitong,Chen ^[1] ; Zhaoxian,Xu ^[2] ; Boning,Ding ^[1] ; Yuwei,Zhang ^[2] ; Shuangmei,Liu ^[1] ; Chenggu,Cai ^[2] ; Muzi,Li ^[1] ; Bruce E,Dale ^[2] ; Mingjie,Jin ^[1]

作者单位： School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. ^[1] Biorefinery Research Institution, Nanjing University of Science and Technology, Nanjing 210094, China. ^[2] Biomass Conversion Research Laboratory, Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824, USA. ^[3] Great Lakes Bioenergy Research Centre (GLBRC), Michigan State University, East Lansing, MI, 48824 USA. ^[4]

主题词酿酒酵母菌(Saccharomyces cerevisiae);发酵(Fermentation);木糖(Xylose);数据挖掘(Data Mining)

DOI 10.1126/sciadv.add8835

PMID 36724227

发布时间 2023-03-07

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Science advances

2023年9卷5期

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Big data mining, rational modification, and ancestral sequence reconstruction inferred multiple xylose isomerases for biorefinery.

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Big data mining, rational modification, and ancestral sequence reconstruction inferred multiple xylose isomerases for biorefinery.

Science advances

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Science advances

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