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

Abstract

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.