Model‐driven design of synthetic N‐terminal coding sequences for regulating gene expression in yeast and bacteria-Reference-Cited by-同舟云学术

Model‐driven design of synthetic N‐terminal coding sequences for regulating gene expression in yeast and bacteria

Published:2022-02 Issue:5 Volume:17 Page:2100655
ISSN:1860-6768
Container-title:Biotechnology Journal
language:en
Short-container-title:Biotechnology Journal

Author:

Wang Chenyun¹²³⁴,Zhang Wei⁵⁶,Tian Rongzhen¹²³⁴,Zhang Jianing¹²³⁴,Zhang Linpei¹,Deng Zhaohong⁵⁶,Lv Xueqin¹²³⁴^ORCID,Li Jianghua¹²³⁴,Liu Long¹²³⁴^ORCID,Du Guocheng¹²³⁴,Liu Yanfeng¹²³⁴⁷^ORCID

Affiliation:

1. Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology Jiangnan University Wuxi China

2. Science Center for Future Foods Jiangnan University Wuxi China

3. Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology Jiangnan University Wuxi China

4. Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology Jiangnan University Wuxi China

5. School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China

6. Jiangsu Key Laboratory of Media Design and Software Technology Wuxi China

7. Qingdao Special Food Research Institute Wuxi China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Molecular Medicine,Applied Microbiology and Biotechnology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/biot.202100655

Reference41 articles.

1. The Mechanism of Eukaryotic Translation Initiation: New Insights and Challenges

2. Rate-Limiting Steps in Yeast Protein Translation

3. A short translational ramp determines the efficiency of protein synthesis

4. Evaluation of 244,000 synthetic sequences reveals design principles to optimize translation in Escherichia coli

5. Protein synthesis rates and ribosome occupancies reveal determinants of translation elongation rates

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