Author

Ryohei Kobayashi

National Institutes of Natural SciencesORCID 0000-0001-8364-5354Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2

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Approach:biophysical modeling· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

Hiroshi UenoiD· 1 shared Hiroyuki NojiiD· 1 shared Kei-ichi OkazakiiD· 1 shared Kodai Miyake· 1 shared Tatsuya Oya· 1 shared Yutaka SaitōiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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6 top collaborators · 10 mutual co-author links

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1 shared paperBiophysics

Hiroshi UenoORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintAug 29, 2026

Engineering a highly active thermophilic F1-ATPase by homolog-guided exploration and machine-learning-assisted prioritization

Ryohei Kobayashi, Kodai Miyake, Tatsuya Oya…·Hiroyuki Noji

This paper engineers a thermophilic F1-ATPase with higher catalytic activity using homolog-guided mutation identification and machine learning, finding a 1.8-fold increase in rotation rate.

DOI 10.64898/2026.08.27.747693

deep learningprotein design

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BiophysicsJACS AuPeer-reviewedMay 27, 2025

Rotation-direction-dependent regulation of ATPase inhibitory factor 1 for mitochondrial ATP synthase from atomistic simulation

Ryohei Kobayashi, Kei-ichi Okazaki

This paper uses molecular dynamics simulations to show how rotation direction affects IF1's binding to ATP synthase, revealing atomic mechanisms for IF1 ejection and inhibition.

1 citation

protein structurebiophysical modeling

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