Author

D. Yamada

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

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1

Frequent Co-Authors

H. Kandori· 1 shared I. Takeuchi· 1 shared K. Inoue· 1 shared K. Mannen· 1 shared K. Yura· 1 shared M. Karasuyama· 1 shared M. Konno· 1 shared O. Beja· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBiochemistry

H. Kandori

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1 paper

Recent·Most cited

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

K. Inoue, M. Karasuyama, R. Nakamura, M. Konno, D. Yamada, K. Mannen, T. Nagata, Y. Inatsu, K. Yura, O. Beja, H. Kandori, I. Takeuchi

The paper uses a machine learning model to identify red-shifted rhodopsins, finding 80% of selected candidates show red-shift gains, with some having desirable ion-transporting properties.

bioRxiv · Apr 21, 2020Biochemistry