奥野Gメンバーの研究論文が発表されました。
Mori S, Izumi H, Araki M, Liu J, Tanaka Y, Kagawa Y, Sagae Y, Ma B, Isaka Y, Sasakura Y, Kumagai S, Sakae Y, Tanaka K, Shibata Y, Udagawa H, Matsumoto S, Yoh K, Okuno Y, Goto K, Kobayashi SS., LTK mutations responsible for resistance to lorlatinib in non-small cell lung cancer harboring CLIP1-LTK fusion, Communications biology, 2024;7(1):412, 2024/4/4, doi:10.1038/s42003-024-06116-6
奥野Gメンバーの研究論文が発表されました。
Hiroaki Iwata*, Yoshihiro Hayashi*, Takuto Koyama, Aki Hasegawa, Kosuke Ohgi, Ippei Kobayashi, Yasushi Okuno, Feature extraction of particle morphologies of pharmaceutical excipients from scanning electron microscope images using convolutional neural networks, International Journal of Pharmaceutics, 22024;653:123873, 2024/3/25, doi:10.1016/j.ijpharm.2024.123873
奥野Gメンバーの研究論文が発表されました。
Sakuragi M, Uchino E, Sato N, Matsubara T, Ueda A, Mineharu Y, Kojima R, Yanagita M, Okuno Y, Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy, PLoS One, 19(3):e0298673, 2024/3/19, doi:10.1371/journal.pone.0298673
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
