Author

Ikki Yasuda

University of CopenhagenORCID 0000-0002-6183-862XUnclaimed 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 type annotation· 1 Research Focus:clustering· 1 Approach:comparative / phylogenetic analysis· 1 Assay:DNA methylation· 1 Assay:Hi-C· 1 Approach:statistical model· 1

Frequent Co-Authors

Eiji YamamotoiD· 3 shared Kenji YasuokaiD· 3 shared Kresten Lindorff‐LarseniD· 3 shared Giulio TeseiiD· 2 shared Sören von BülowiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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3 shared papersBiophysics

Eiji YamamotoORCID

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3 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