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Ikki Yasuda

Showing results (1-10 of 10) with videos related to

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Communications Chemistry|May 29, 2024
In-layer inhomogeneity of molecular dynamics in quasi-liquid layers of iceIkki Yasuda, Katsuhiro Endo, Noriyoshi Arai, et al.
Biophysical Journal|February 13, 2026
Allosteric Inhibition Mechanism of PTP1B by DPM-1001 Using Molecular Dynamics SimulationKoki Yano, Ikki Yasuda, Yoshinori Hirano, et al.
Journal of Chemical Theory and Computation|January 8, 2024
Graph-Neural-Network-Based Unsupervised Learning of the Temporal Similarity of Structural Features Observed in Molecular Dynamics SimulationsSatoki Ishiai, Ikki Yasuda, Katsuhiro Endo, et al.
Biophysical Journal|April 4, 2026
TDP-43 multidomains and RNA modulate interactions and viscoelasticity in biomolecular condensatesYui Matsushita, Ikki Yasuda, Fuga Watanabe, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|January 9, 2026
Enhanced Premelting at the Ice-Rubber Interface Using All-Atom Molecular Dynamics SimulationTakumi Kojima, Ikki Yasuda, Takumi Sato, et al.
Communications Biology|May 19, 2022
Differences in ligand-induced protein dynamics extracted from an unsupervised deep learning approach correlate with protein-ligand binding affinitiesIkki Yasuda, Katsuhiro Endo, Eiji Yamamoto, et al.
RSC Advances|November 29, 2023
Unsupervised deep learning for molecular dynamics simulations: a novel analysis of protein-ligand interactions in SARS-CoV-2 M<sup>pro</sup>Jessica Mustali, Ikki Yasuda, Yoshinori Hirano, et al.
Journal of Chemical Theory and Computation|February 26, 2025
Coarse-Grained Model of Disordered RNA for Simulations of Biomolecular CondensatesIkki Yasuda, Sören von Bülow, Giulio Tesei, et al.
Journal of Chemical Theory and Computation|May 7, 2026
Correction to "Coarse-Grained Model of Disordered RNA for Simulations of Biomolecular Condensates"Ikki Yasuda, Sören von Bülow, Giulio Tesei, et al.
ACS Applied Materials & Interfaces|January 30, 2023
Combining Molecular Dynamics and Machine Learning to Analyze Shear Thinning for Alkane and Globular Lubricants in the Low Shear RegimeIkki Yasuda, Yusei Kobayashi, Katsuhiro Endo, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Communications Chemistry|May 29, 2024
In-layer inhomogeneity of molecular dynamics in quasi-liquid layers of iceIkki Yasuda, Katsuhiro Endo, Noriyoshi Arai, et al.
Biophysical Journal|February 13, 2026
Allosteric Inhibition Mechanism of PTP1B by DPM-1001 Using Molecular Dynamics SimulationKoki Yano, Ikki Yasuda, Yoshinori Hirano, et al.
Journal of Chemical Theory and Computation|January 8, 2024
Graph-Neural-Network-Based Unsupervised Learning of the Temporal Similarity of Structural Features Observed in Molecular Dynamics SimulationsSatoki Ishiai, Ikki Yasuda, Katsuhiro Endo, et al.
Biophysical Journal|April 4, 2026
TDP-43 multidomains and RNA modulate interactions and viscoelasticity in biomolecular condensatesYui Matsushita, Ikki Yasuda, Fuga Watanabe, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|January 9, 2026
Enhanced Premelting at the Ice-Rubber Interface Using All-Atom Molecular Dynamics SimulationTakumi Kojima, Ikki Yasuda, Takumi Sato, et al.
Communications Biology|May 19, 2022
Differences in ligand-induced protein dynamics extracted from an unsupervised deep learning approach correlate with protein-ligand binding affinitiesIkki Yasuda, Katsuhiro Endo, Eiji Yamamoto, et al.
RSC Advances|November 29, 2023
Unsupervised deep learning for molecular dynamics simulations: a novel analysis of protein-ligand interactions in SARS-CoV-2 M<sup>pro</sup>Jessica Mustali, Ikki Yasuda, Yoshinori Hirano, et al.
Journal of Chemical Theory and Computation|February 26, 2025
Coarse-Grained Model of Disordered RNA for Simulations of Biomolecular CondensatesIkki Yasuda, Sören von Bülow, Giulio Tesei, et al.
Journal of Chemical Theory and Computation|May 7, 2026
Correction to "Coarse-Grained Model of Disordered RNA for Simulations of Biomolecular Condensates"Ikki Yasuda, Sören von Bülow, Giulio Tesei, et al.
ACS Applied Materials & Interfaces|January 30, 2023
Combining Molecular Dynamics and Machine Learning to Analyze Shear Thinning for Alkane and Globular Lubricants in the Low Shear RegimeIkki Yasuda, Yusei Kobayashi, Katsuhiro Endo, et al.
Pageof 1