Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design

Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design

Inoue, Takeuchi and colleagues propose a machine learning-based protocol to screen rhodopsins for their likelihood to be red-shifted. After experimental verification, their tool shows remarkable success at identifying rhodopsins that showed red-shift gains.

Bibliographic Details
Main Authors: Keiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, Masae Konno, Daichi Yamada, Kentaro Mannen, Takashi Nagata, Yu Inatsu, Hiromu Yawo, Kei Yura, Oded Béjà, Hideki Kandori, Ichiro Takeuchi
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-021-01878-9

Internet

https://doi.org/10.1038/s42003-021-01878-9

Similar Items