Author

T. Moriya

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:cryo-EM· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Assay:structural biology· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. Apelbaum· 1 shared B. Siebolds· 1 shared C. Antoni· 1 shared C. Gatsogiannis· 1 shared C. Yamada· 1 shared D. Prumbaum· 1 shared D. Quentin· 1 shared D. Roderer· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

A. Apelbaum

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2 papers

Recent·Most cited

Crystallographic and cryogenic electron microscopic structures and enzymatic characterization of sulfur oxygenase reductase from Sulfurisphaera tokodaii

Y. Sato, T. Yabuki, N. Adachi, T. Moriya, T. Arakawa, M. Kawasaki, C. Yamada, T. Senda, S. Fushinobu, T. Wakagi

This paper reports the biochemical and structural characterization of SOR from Sulfurisphaera tokodaii, presenting high-resolution crystal and cryo-EM structures and analyzing the role of iron and cysteines in catalysis.

bioRxiv · May 3, 2020Biochemistry

SPHIRE-crYOLO: A fast and accurate fully automated particle picker for cryo-EM

T. Wagner, F. Merino, M. Stabrin, T. Moriya, C. Antoni, A. Apelbaum, P. Hagel, O. Sitsel, T. Raisch, D. Prumbaum, D. Quentin, D. Roderer, S. Tacke, B. Siebolds, E. Schubert, , S. Raunser

The paper introduces crYOLO, a deep learning-based particle picker for cryo-EM that achieves high accuracy and speed, enabling automated data pre-processing.

bioRxiv · Mar 13, 2019Biophysics