論文

奥野Gメンバーの研究論文が発表されました

Kawata M, Yonezawa A, Mineharu Y, Itohara K, Mizota T, Matsui Y, Kikuchi T, Yamao Y, Hattori EY, Hamada M, Hira D, Furukawa K, Miyamoto S, Terada T, Matsubara K, Arakawa Y. Development of extended pharmacokinetic models for propofol based on measured blood and brain concentrations, Scientific Reports, 14(1), 6326, 2024/3/15, doi:10.1038/s41598-024-56863-z

奥野Gメンバーの研究論文が発表されました

Igarashi Y, Kojima R, Matsumoto S, Iwata H, Okuno Y, Yamada H, Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method, The Journal of Toxicological Sciences, 2024;49(3):117-126, 2024/3/1, doi:10.2131/jts.49.117

奥野Gメンバーの研究論文が発表されました

Suzuki M, Uchibori K, Oh-Hara T, Nomura Y, Suzuki R, Takemoto A, Araki M, Matsumoto S, Sagae Y, Kukimoto-Niino M, Kawase Y, Shirouzu M, Okuno Y, Nishio M, Fujita N, Katayama R, A macrocyclic kinase inhibitor overcomes triple resistant mutations in EGFR-positive lung cancer, NPJ Precis Oncol., 2024;8(1):46, 2024/2/23, doi:10.1038/s41698-024-00542-9

奥野Gメンバーの研究論文が発表されました

Ryo Kanada*, Atsushi Tokuhisa*, Yusuke Nagasaka, Shingo Okuno, Koichiro Amemiya, Shuntaro Chiba, Gert-Jan Bekker, Narutoshi Kamiya, Koichiro Kato, and Yasushi Okuno, Enhanced Coarse-Grained Molecular Dynamics Simulation with a Smoothed Hybrid Potential Using a Neural Network Model, Journal of Chemical Theory and Computation, 2024;20(1):7-17, 2024/1/9, doi:10.1021/acs.jctc.3c00889

Okamoto R,Kojima R, Nakatsui M , Toward AI-supported evaluation for safety control measures against near-miss events in pharmaceutical products , Safety Science , Volume 168,106314 , 2023/12/1 , doi.org/10.1016/j.ssci.2023.106314

Yamane T, Nakayama T, Ekimoto T, Inoue M, Ikezaki K, Sekiguchi H, Kuramochi M, Terao Y, Judai K, Saito M, Ikeguchi M, C. Sasaki Y ,Comparison of the Molecular Motility of Tubulin Dimeric Isoforms: Molecular Dynamics Simulations and Diffracted X-ray Tracking Study, International Journal of Molecular Sciences , 2,415,423,2023/10/2, https://www.mdpi.com/1422-0067/24/20/15423

Yamazaki K, Wada Y, Tokuhisa A, Wada M, Katoh T, Umeda Y, Okuno Y, Nakagawa A, An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway., Lecture Notes in Computer Science(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14220 LNCS, 394-404, 2023/10/1, doi: 10.1007/978-3-031-43907-0_38

Echizen H, Hanaoka K, Shimamoto K, Hibi R, Toma-Fukai S, Ohno H, Sasaki E, Komatsu T, Ueno T, Tsuchiya Y, Watanabe Y, Otsuka T, Saito H, Nagatoishi S, Tsumoto K, Kojima H, Okabe T, Shimizu T, Urano Y,”Discovery of a cystathionine γ-lyase (CSE) selective inhibitor targeting active-site pyridoxal 5′-phosphate (PLP) via Schiff base formation”, Scientific Reports  ,1,316,456,2023/9/30,  https://doi.org/10.1038/s41598-023-43536-6

Hattori EY, Arakawa Y, Mineharu Y, Furukawa K, Terada Y, Yamao Y, Tanji M, Kikuchi T, Miyamoto S. , Seizure control by adding on other anti-seizure medication on seizure during levetiracetam administration in patients with glioma-related epilepsy.  , BMC Cancer  , 23, 849 , 2023/9/11 , doi.org/10.1186/s12885-023-11273-8

Nakamura K, Uchino E, Sato N, Araki A, Terayama K, Kojima R, Murashita K, Itoh K, Mikami T, Tamada Y, Okuno Y , Individual health-disease phase diagrams for disease prevention based on machine learning , Journal of Biomedical Informatics , 144,104448 , 2023/8/23 , doi.org/10.1016/j.jbi.2023.104448