Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach

Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach

Abstract The light-dependent ion-transport function of microbial rhodopsin has been widely used in optogenetics for optical control of neural activity. In order to increase the variety of rhodopsin proteins having a wide range of absorption wavelengths, the light absorption properties of various wil...

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Auteurs principaux: Masayuki Karasuyama, Keiichi Inoue, Ryoko Nakamura, Hideki Kandori, Ichiro Takeuchi
Format: article
Langue:EN
Publié: Nature Portfolio 2018
Sujets:
Microbial Rhodopsins
Color Tuning
Absorption Wavelength
Data-driven Machine Learning Approach
Protein Rhodopsin
Medicine
R
Science
Q
Accès en ligne:https://doaj.org/article/6d5f6523e95c47b9a3267d31656cf7dd
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