Author

Kenji Yasuoka

Keio UniversityORCID 0000-0002-4579-0195Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:comparative / phylogenetic analysis· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Eiji YamamotoiD· 3 shared Ikki YasudaiD· 3 shared Kresten Lindorff‐LarseniD· 3 shared Giulio TeseiiD· 2 shared Hiroshi HommaiD· 1 shared Jumpei SasabeiD· 1 shared Kenichiro Adachi· 1 shared Kohsuke KanekuraiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersBiophysics

Eiji YamamotoORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Coarse-grained models for simulations of double-stranded nucleic acids for mixed protein-nucleic acid condensates

Ikki Yasuda, Giulio Tesei, Eiji Yamamoto, Kenji Yasuoka, Kresten Lindorff‐Larsen

The paper develops coarse-grained models for simulating double-stranded RNA and DNA in the CALVADOS framework to study their behavior in protein-nucleic acid condensates.

bioRxiv · Aug 20, 2026 · PreprintBiophysics

Molecular interactions underlying selective partitioning of clients into MED1 and FUS condensates

Ikki Yasuda, Eiji Yamamoto, Kenji Yasuoka, Kresten Lindorff‐Larsen

The paper uses simulations to study how proteins partition into MED1 and FUS condensates, identifying sequence features that predict partitioning and developing a sequence-based predictor.

bioRxiv · Dec 23, 2025 · PreprintBiophysics

A coarse-grained model of disordered RNA for simulations of biomolecular condensates

Ikki Yasuda, Sören von Bülow, Giulio Tesei, Eiji Yamamoto, Kenji Yasuoka, Kresten Lindorff‐Larsen

This paper introduces a coarse-grained RNA model to simulate protein-RNA condensates and shows it captures key interaction aspects.

Journal of Chemical Theory and Computation · Feb 26, 2025Peer-reviewedBiophysics

D-serine suppresses one-carbon metabolism by competing with mitochondrial L-serine transport

Masataka Suzuki, Kenichiro Adachi, Pattama Wiriyasermukul, Mariko Fukumura, Ryota Tamura, Yoshinori Hirano, Yumi Aizawa, Tetsuya Miyamoto, Sakiko Taniguchi, Masahiro Toda, Hiroshi Homma, Kohsuke Kanekura, Kenji Yasuoka, Takanori Kanai∥, Masahiro Sugimoto, , Jumpei Sasabe

This study shows D-serine competes with mitochondrial L-serine transport, suppressing one-carbon metabolism and affecting neural cell proliferation.

bioRxiv · Sep 3, 2024 · PreprintBiochemistry