Genki Kudo

According to our database, Genki Kudo authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Molecular simulation-based 3D structural construction of olfactory receptor with agonist binding.

Takumi Hirao, Yusuke Ihara, Chiori Ijichi, Genki Kudo, Ryunosuke Yoshino, Takatsugu Hirokawa

J. Comput. Aided Mol. Des., December, 2026

2025

Construction of PROTAC-Mediated Ternary Complex Structure Distribution Profiles Using Extensive Conformational Search.

Genki Kudo, Takumi Hirao, Ryuhei Harada, Yasuteru Shigeta, Takatsugu Hirokawa, Ryunosuke Yoshino

J. Chem. Inf. Model., 2025

CrypToth: Cryptic Pocket Detection through Mixed-Solvent Molecular Dynamics Simulations-Based Topological Data Analysis.

Jun Koseki, Chie Motono, Keisuke Yanagisawa, Genki Kudo, Ryunosuke Yoshino, Takatsugu Hirokawa, Kenichiro Imai

J. Chem. Inf. Model., 2025

2024

Site Identification and Next Choice Protocol for Hit-to-Lead Optimization.

Genki Kudo, Takumi Hirao, Ryunosuke Yoshino, Yasuteru Shigeta, Takatsugu Hirokawa

J. Chem. Inf. Model., 2024

Optimizing Coil Selection for Cerebral Aneurysm Treatment Using PyRadiomics and Machine Learning Models.

Toshiki Koshiba, Soichiro Fujimura, Genki Kudo, Kohei Takeshita, Masahiro Kazama, Haruki Kanebayashi, Kostadin Karagiozov, Niken Prasasti Martono, Hiroyuki Takao, Makoto Yamamoto, Yuichi Murayama, Toshihiro Ishibashi, Hayato Ohwada

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

AAp-MSMD: Amino Acid Preference Mapping on Protein-Protein Interaction Surfaces Using Mixed-Solvent Molecular Dynamics.

Genki Kudo, Keisuke Yanagisawa, Ryunosuke Yoshino, Takatsugu Hirokawa

J. Chem. Inf. Model., December, 2023

Pocket to concavity: a tool for the refinement of protein-ligand binding site shape from alpha spheres.

Genki Kudo, Takumi Hirao, Ryunosuke Yoshino, Yasuteru Shigeta, Takatsugu Hirokawa

Bioinform., April, 2023

Development of Machine Learning Model for Selecting the 1st Coil in the Treatment of Cerebral Aneurysms by Coil Embolization.

Soichiro Fujimura, Toshiki Koshiba, Genki Kudo, Kohei Takeshita, Masahiro Kazama, Kostadin Karagiozov, Koji Fukudome, Hiroyuki Takao, Hayato Ohwada, Yuichi Murayama, Makoto Yamamoto, Toshihiro Ishibashi, Katharina Otani

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023