Author

Hiromu Yawo

The University of TokyoORCID 0000-0002-4299-3288Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Chenxiang ZhaoiD· 1 shared Frederik SchulziD· 1 shared Hideaki E. KATOiD· 1 shared Ichiro TakeuchiiD· 1 shared Keiichi InoueiD· 1 shared Masae KonnoiD· 1 shared Masahiro FukudaiD· 1 shared Masaya Watanabe· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

Chenxiang ZhaoORCID

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1 paper

Recent·Most cited

Functional characterization of red-shifted rhodopsin channels from giant viruses explored by a machine-learning model for long-wavelength optogenetics

Shunki Takaramoto, Chenxiang Zhao, Masayuki Karasuyama, Frederik Schulz, Masaya Watanabe, Yuma Kawasaki, Takashi Nagata, Masae Konno, Naoya Morimoto, Masahiro Fukuda, Yu Inatsu, Hiromu Yawo, Oded Béjà, Hideaki E. KATO, Tanja Woyke, , Keiichi Inoue

The paper uses a machine-learning model to predict red-shifted channelrhodopsin variants, identifying ChR024 with a maximum absorption wavelength of ~578 nm for optogenetics.

bioRxiv · Sep 16, 2025 · PreprintBiophysics