Evidence map›Paper›PMID 39455666›Full record

ArticleScientific reports2024

A computational strategy to improve the activity of tyrosine phenol-lyase for the synthesis of L-DOPA.

Jiayu Xu, Sheng Ye, Fenghui Guan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jiayu XuFrontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, School of Life Sciences, Tianjin University, Tianjin, 300072, China.
Sheng YeFrontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, School of Life Sciences, Tianjin University, Tianjin, 300072, China. sye@tju.edu.cn.
Fenghui GuanHangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310000, China. guanfenghui@him.cas.cn.

Funding

Ministry of Science and Technology of the People's Republic of China 2020YFA0908500National Natural Science Foundation of China 31900041National Natural Science Foundation of China 31971127
6 · The paper itself

Abstract

Enzymes with high catalytic activity and stability are essential for industrial production, yet most natural enzymes do not meet these requirements. Therefore, efficient strategies for enzyme engineering are crucial. In this study, we developed a cost-effective computational design strategy to enhance the activity of tyrosine phenol-lyase (TPL) for the production of L-DOPA. By integrating structural analysis with computational design, and guided by our understanding of conformational flexibility of TPL, we identified a region where enhanced stability is most likely to facilitate enzyme activity. We screened stabilizing mutations by Cartesian_ddg in Rosetta. After identifying single stabilizing mutations, we grouped the nearby positions harboring multiple stabilizing mutations and calculated the energy of combinatorial variants. We found two promising groups where most variants exhibited lower calculated energy than the wild-type. Experimental validation showed five variants in these groups exhibit increased activity, with the two best variants showing catalytic activity enhancements of 1.8-fold and 1.6-fold compared to the wild-type enzyme.

Indexed as

LevodopaTyrosine Phenol-LyaseEnzyme StabilityModels, MolecularMutationProtein ConformationProtein EngineeringLevodopaTyrosine Phenol-LyaseCatalytic activityComputational strategyL-DOPA synthesisTyrosine phenol-lyase

Identifiers

PMID39455666
PMCPMC11512013

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