Author

Yuma Kawasaki

The Institute for Solid State Physics, The University of TokyoORCID 0000-0003-4872-1125Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Research Focus:protein structure prediction· 2 Assay:cryo-EM· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Keiichi InoueiD· 2 shared Masae KonnoiD· 2 shared Chenxiang ZhaoiD· 1 shared Frederik SchulziD· 1 shared Hideaki E. KATOiD· 1 shared Hiromu YawoiD· 1 shared Ichiro TakeuchiiD· 1 shared Iota Ebisu· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiophysics

Keiichi InoueORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintOct 20, 2025

Cryo-EM Structures of Methanogenic Schizorhodopsins Reveal Divergent Strategies for Proton Transport and Thermal Adaptation

Iota Ebisu, Tatsuki Tanaka, Yuma Kawasaki…·Osamu Nureki

The paper reports cryo-EM structures of two methanogenic Schizorhodopsins, revealing distinct proton transport mechanisms and structural adaptations for thermal stability.

DOI 10.1101/2025.10.20.683367

cryo-EMexperimental assay

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BiophysicsbioRxivPreprintSep 16, 2025

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…·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.

DOI 10.1101/2025.09.16.676488

protein sequencemachine learning (classical)

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