Invention Grant
- Patent Title: Machine learning gene mining method and phosphinothricin dehydrogenase mutant for amino translocation
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Application No.: US17505945Application Date: 2021-10-20
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Publication No.: US11781117B2Publication Date: 2023-10-10
- Inventor: Yaping Xue , Feng Cheng , Dongyang Wu , Shuping Zou , Jianmiao Xu , Yuguo Zheng
- Applicant: ZHEJIANG UNIVERSITY OF TECHNOLOGY
- Applicant Address: CN Hangzhou
- Assignee: ZHEJIANG UNIVERSITY OF TECHNOLOGY
- Current Assignee: ZHEJIANG UNIVERSITY OF TECHNOLOGY
- Current Assignee Address: CN Hangzhou
- Agency: Joywin IP Law PLLC
- Agent Jiwen Chen
- Priority: CN 2011644056.2 2020.12.31
- Main IPC: C12N9/06
- IPC: C12N9/06 ; C12P13/04 ; G16B30/10 ; C12N9/04 ; C12N1/21 ; C12N15/53

Abstract:
Disclosed are a machine learning gene mining method and a phosphinothricin dehydrogenase mutant for amino translocation. The phosphinothricin dehydrogenase mutant for amino translocation is obtained by mutation of a wild-type phosphinothricin dehydrogenase with an amino acid sequence as shown in SEQ ID No.2 at one of the following sites: (1) E263D-K134R-H96A-R290V; (2) E263D-K134R-H96A; (3) E263D-K134R; (4) E263D; (5) E263N; (6) E263C; and (7) E263G. The present invention utilizes the site-saturation mutagenesis technology to mutate a phosphinothricin dehydrogenase gene as shown in SEQ ID No. 1, finds that the 263rd, 134th, 290th and 290th positions are the key sites affecting enzyme activity and stereoselectivity, and obtains a mutant with enzyme activity and ee value much higher than those of the parent phosphinothricin dehydrogenase.
Public/Granted literature
- US20220204948A1 MACHINE LEARNING GENE MINING METHOD AND PHOSPHINOTHRICIN DEHYDROGENASE MUTANT FOR AMINO TRANSLOCATION Public/Granted day:2022-06-30
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