Machine learning discovery of missing links that mediate alternative branches to plant alkaloids
oleh: 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
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-03-01 |
Deskripsi
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.