Structural-model-based genome mining can efficiently discover novel non-canonical terpene synthases hidden in genomes of diverse species.

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作者： Tohru,Abe ^[1] ; Haruna,Shiratori ^[1] ; Kosuke,Kashiwazaki ^[2] ; Kazuma,Hiasa ^[3] ; Daijiro,Ueda ^[1] ; Tohru,Taniguchi ^[4] ; Hajime,Sato ^[3] ; Takashi,Abe ^[5] ; Tsutomu,Sato ^[2]

作者单位： Department of Life and Food Sciences, Graduate School of Science and Technology, Niigata University Ikarashi 2-8050, Nishi-ku Niigata 950-2181 Japan satot@agr.niigata-u.ac.jp. ^[1] Department of Electrical and Information Engineering, Graduate School of Science and Technology, Niigata University Ikarashi 2-8050, Nishi-ku Niigata 950-2181 Japan takaabe@ie.niigata-u.ac.jp. ^[2] Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi 4-4-37 Takeda Kofu Yamanashi 400-8510 Japan hsato@yamanashi.ac.jp. ^[3] Frontier Research Center for Advanced Material and Life Science, Faculty of Advanced Life Science, Hokkaido University North 21 West 11 Sapporo 001-0021 Japan. ^[4] PRESTO, Japan Science and Technology Agency Kawaguchi Saitama 332-0012 Japan. ^[5]

DOI 10.1039/d4sc01381f

PMID 38994432

发布时间 2024-07-14

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Chemical science

2024年15卷27期

10402-10407页

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Structural-model-based genome mining can efficiently discover novel non-canonical terpene synthases hidden in genomes of diverse species.

Chemical science

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Chemical science

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Structural-model-based genome mining can efficiently discover novel non-canonical terpene synthases hidden in genomes of diverse species.

Chemical science

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Chemical science

相关期刊

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