2023年Original Article

  • 2023)
    • Mineharu Y, Takagi Y, Koizumi A, Morimoto T, Funaki T, Hishikawa T, Araki Y, Hasegawa H, Takahashi JC, Kuroda S, Houkin K, Miyamoto S; SUPRA Japan Study Group. Posterior cerebral artery involvement in unilateral moyamoya disease is exclusively ipsilateral and influenced by RNF213 mutation gene dose: The SUPRA Japan study: PCA involvement in unilateral moyamoya.,Journal of Stroke Cerebrovasc. Dis., 2023;33:107513.　2023/12/22 doi/10.1016/j.jstrokecerebrovasdis.2023.107513
    • Shimizu, Y., Ohta, M., Ishida, S., Terayama, K., Osawa, M., Honma, T., Ikeda, K., AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data.,Journal of Cheminformatics , 15, 120 (2023), 2023/12/13, doi.org/10.1186/s13321-023-00791-z
    • Iwata H, Nakai T, Koyama T, Matsumoto S, Kojima R, Okuno Y, VGAE-MCTS: a New Molecular Generative Model combining Variational Graph Auto-Encoder and Monte Carlo Tree Search.,Journal of chemical information and modeling , 63.23: 7392-7400., 2023/11/22, doi/10.1021/acs.jcim.3c01220
    • 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 , 2023/10/21 , https://www.mdpi.com/1422-0067/24/20/15423
    • Hatano N, Kamada M, Kojima R, Okuno Y. , Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. ,  BMC bioinformatics , , 24(1),383 , 2023/10/10 , https://doi.org/10.1186/s12859-023-05507-6
    • 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
    • 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
    • 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
    • Matsuoka T, Hattori A, Oishi S, Araki M, Biao Ma, Fujii T, Arichi N, Okuno Y, Kakeya H, Yamasaki S, Ohno H, Inuki S , Establishment of an MR1 Presentation Reporter Screening System and Identification of Phenylpropanoid Derivatives as MR1 Ligands. , Journal of medicinal chemistry , 66(17),12520–12535 , 2023/8/23 , doi.org/10.1021/acs.jmedchem.3c01122
    • 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
    • Nojima S#*, Kadoi T, Suzuki A, Kato C, Ishida S, Kido K, Fujita K, Okuno Y, M. Hirokawa, K. Terayama*, Morii E, , Deep-learning-based differential diagnosis of follicular thyroid tumors using histopathological images , Modern Pathology , 100296,2023/7/31, DOI: 10.1016/j.modpat.2023.100296
    • Aya Nakamura, Ryosuke Kojima, Yuji Okamoto, Eiichiro Uchino, Yohei Mineharu, Yohei Harada, Mayumi Kamada, Manabu Muto, Motoko Yanagita, Yasushi Okuno , A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data. , arXiv:2307.11487 , 2023/7/21 , https://doi.org/10.48550/arXiv.2307.11487
    • Koyama T, Matsumoto S, Iwata H, Kojima R, Okuno Y. , Improving Compound–Protein Interaction Prediction by Self-Training with Augmenting Negative Samples , Journal of Chemical Information and Modeling , 63, 15 , 4552–4559 , 2023/7/17 , https://pubs.acs.org/doi/full/10.1021/acs.jcim.3c00269
    • Shimizu S, Kondo J, Onuma K, Coppo R, Ota K, Kamada M, Harada H, Tanaka Y, Adachi Nakazawa M, Tamada Y, Okuno Y, Kawada K, Kazutaka Obama, Robert J. Coffey, Yoshiyuki Fujiwara, Masahiro Inoue , Inhibition of the bone morphogenetic protein pathway suppresses tumor growth through downregulation of epidermal growth factor receptor in MEK/ERK-dependent colorectal cancer , Cancer Science ,2023/6/25 , doi: 10.1111/cas.15882
    • Zhu A,  Chiba S,  Shimizu Y, Kunitake K,  Okuno Y, Aoki Y, Yokota T , Ensemble-Learning and Feature Selection Techniques for Enhanced Antisense Oligonucleotide Efficacy Prediction in Exon Skipping , Pharmaceutics , 15(7),1808 , 2023/6/24 , doi.org/10.3390/pharmaceutics15071808
    • Iwata H, Application of In Silico Technologies for Drug Target Discovery and Pharmacokinetic Analysis , Chemical and Pharmaceutical Bulletin ,2023/6/1 , doi.org/10.1248/cpb.c22-00638
    • Wang Y, Fushimi Y, Arakawa Y, Shimizu Y, Sano K, Sakata A, Nakajima S, Okuchi S, Hinoda T, Oshima S, Otani S, Ishimori T, Tanji M, Mineharu Y, Yoshida K, & Nakamoto Y , Evaluation of isocitrate dehydrogenase mutation in 2021 world health organization classification grade 3 and 4 glioma adult-type diffuse gliomas with 18F-fluoromisonidazole PET.  , Japanese Journal of Radiology ,  2023/5/23 , DOI: 10.1007/s11604-023-01450-x
    • Gert-Jan Bekker, Araki M, Oshima K, Okuno Y, Kamiya N , Mutual induced-fit mechanism drives binding between intrinsically disordered Bim and cryptic binding site of Bcl-xL , Communications Biology , 6,349 , 2023/3/30 , https://doi.org/10.1038/s42003-023-04720-6
    • Gao J, Makiyama T, Yamamoto Y, Kobayashi T, Aoki H, Maurissen TL, Wuriyanghai Y, Kashiwa A, Imamura T, Aizawa T, Huang H, Kohjitani H, Nishikawa M, Chonabayashi K, Fukuyama M, Manabe H, Nakau K, Wada T, Kato K, Toyoda F, Yoshida Y, Makita N, Woltjen K, Ohno S, Kurebayashi N, Murayama T, Sakurai T, Horie M, Kimura T. , Novel Calmodulin Variant p.E46K Associated With Severe Catecholaminergic Polymorphic Ventricular Tachycardia Produces Robust Arrhythmogenicity in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes. , Circ Arrhythm Electrophysiol  , e011387 , 2023/3/3 , doi: 10.1161/CIRCEP.122.011387.
    • Aizawa T, Wada Y, Hasegawa K, Huang H, Imamura T, Gao J, Kashiwa A, Kohjitani H, Fukuyama M, Kato K, Kato ET, Hisamatsu T, Ohno S, Makiyama T, Kimura T, Horie M. , Non-missense variants of KCNH2 show better outcomes in type 2 long QT syndrome.  , EP Europace , euac269 , 2023/3/2 , doi: 10.1093/europace/euac269.
    • Koyama T, Matsumoto S, Iwata H, Kojima R, Okuno Y. , Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples. , ChemRxiv , 2023/2/22 , doi: 10.1016/j.ijrobp.2023.01.027.
    • Torizuka D, Uto M, Umeda K, Kamitori T, Iwai A, Saida S, Kato I, Mineharu Y, Arakawa Y, Takita J, et al. , A Scalp Dose Threshold for Preventing Permanent Alopecia in Scalp-Avoidance Whole-Brain Irradiation With Volumetric Modulated Arc Radiation Therapy for Pediatric Patients With Medulloblastomas. , Int. J. Radiat. Oncol. Biol. Phys. , S0360-3016(23)00069-X , 2023/1/26 , doi: 10.1016/j.ijrobp.2023.01.027.
    • Harada Y, Sato A, Nakamura H, Kai K, Kitamura S, Nakamura T, Kurihara Y, Ikeda S, Sueoka E, Kimura S and Naoko Sueoka‐Aragane. , Anti-cancer effect of afatinib, dual inhibitor of HER2 and EGFR, on novel mutation HER2 E401G in models of patient-derived cancer. , BMC Cancer. , 23(1):77. , 2023/1/23 , doi: 10.1186/s12885-022-10428-3.