In silico identification of metabolic engineering strategies for improved lipid production in Yarrowia lipolytica by genome-scale metabolic modeling-Reference-Cited by-同舟云学术

In silico identification of metabolic engineering strategies for improved lipid production in Yarrowia lipolytica by genome-scale metabolic modeling

Published:2019-07-24 Issue:1 Volume:12 Page:
ISSN:1754-6834
Container-title:Biotechnology for Biofuels
language:en
Short-container-title:Biotechnol Biofuels

Author:

Kim Minsuk,Park Beom Gi,Kim Eun-Jung,Kim Joonwon,Kim Byung-Gee

Funder

National Research Foundation of Korea

Industrial Strategic Technology development program

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,General Energy,Renewable Energy, Sustainability and the Environment,Applied Microbiology and Biotechnology,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s13068-019-1518-4.pdf

Reference61 articles.

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3. Li Q, Du W, Liu D. Perspectives of microbial oils for biodiesel production. Appl Microbiol Biotechnol. 2008;80(5):749–56.

4. Shi S, Zhao H. Metabolic engineering of oleaginous yeasts for production of fuels and chemicals. Front Microbiol. 2017;8:2185.

5. Levering J, Broddrick J, Zengler K. Engineering of oleaginous organisms for lipid production. Curr Opin Biotechnol. 2015;36:32–9.

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