Comprehensive understanding of Saccharomyces cerevisiae phenotypes with whole-cell model WM_S288C

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成果类型：

期刊论文

作者：

Ye, Chao;Xu, Nan;Gao, Cong;Liu, Gaoqiang;Xu, Jianzhong;...

通讯作者：

Liu, Liming

作者机构：

[Ye, Chao; Gao, Cong; Chen, Xiulai; Liu, Liming] Jiangnan Univ, State Key Lab Food Sci & Technol, 1800 Lihu Rd, Wuxi 214122, Jiangsu, Peoples R China.

[Ye, Chao; Gao, Cong; Xu, Jianzhong; Zhang, Weiguo; Chen, Xiulai; Liu, Liming] Jiangnan Univ, Key Lab Ind Biotechnol, Minist Educ, Wuxi, Jiangsu, Peoples R China.

[Ye, Chao; Gao, Cong; Chen, Xiulai; Liu, Liming] Jiangnan Univ, Natl Engn Lab Cereal Fermentat Technol, Wuxi, Jiangsu, Peoples R China.

[Xu, Nan] Yangzhou Univ, Coll Biosci & Biotechnol, Yangzhou, Jiangsu, Peoples R China.

[Liu, Gaoqiang] Cent South Univ Forestry & Technol, Hunan Prov Key Lab Forestry Biotechnol, Changsha, Hunan, Peoples R China.

通讯机构：

[Liu, Liming] J

Jiangnan Univ, State Key Lab Food Sci & Technol, 1800 Lihu Rd, Wuxi 214122, Jiangsu, Peoples R China.

语种：

英文

关键词：

cell growth;predict phenotypes;Saccharomyces cerevisiae;whole-cell model

期刊：

Biotechnology and Bioengineering

ISSN：

0006-3592

年：

2020

卷：

117

期：

页码：

1562-1574

DOI：

10.1002/bit.27298

基金类别：

We thank Prof. Markus W. Covert, Department of Bioengineering, Stanford University and his lab members for the development of programs used for whole‐cell model simulation and analysis. This work was supported by grants from the National Key R&D Program of China (2018YFA0901400), the National Natural Science Foundation of China (21676118, 21706095), the National First‐class Discipline Program of Light Industry Technology and Engineering (LITE2018‐08), Jiangsu Province “333 High‐level Talents Cultivating Project” (BRA2016365), and the Key Technologies R & D Program of Jiangsu Province (BE2018623).

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本校为其他机构

院系归属：

生命科学与技术学院

摘要：

Biological network construction for Saccharomyces cerevisiae is a widely used approach for simulating phenotypes and designing cell factories. However, due to a complicated regulatory mechanism governing the translation of genotype to phenotype, precise prediction of phenotypes remains challenging. Here, we present WM_S288C, a computational whole-cell model that includes 15 cellular states and 26 cellular processes and which enables integrated analyses of physiological functions of Saccharomyces cerevisiae. Using WM_S288C to predict phenotypes ...

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Comprehensive understanding of Saccharomyces cerevisiae phenotypes with whole-cell model WM_S288C

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