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Machine learning discovery of missing links that mediate alternative branches to plant alkaloids

Authors :
Christopher J. Vavricka
Shunsuke Takahashi
Naoki Watanabe
Musashi Takenaka
Mami Matsuda
Takanobu Yoshida
Ryo Suzuki
Hiromasa Kiyota
Jianyong Li
Hiromichi Minami
Jun Ishii
Kenji Tsuge
Michihiro Araki
Akihiko Kondo
Tomohisa Hasunuma
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Producing plant secondary metabolites by microbes is limited by the known enzymatic reactions. Here, the authors apply machine learning to predict missing link enzymes of benzylisoquinoline alkaloid (BIA) biosynthesis in Papaver somniferum, and validate the specialized activities through heterologous production.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.baf664b334934b1d89704e14d973d831
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-28883-8