2019年Original Article

  • 2019)
    • Koshimizu H, Kojima R, Kario K, Okuno Y. “Prediction of blood pressure variability using deep neural networks” Int J Med Inform [Internet]. 2020;136(October 2019):104067. Available from: https://doi.org/10.1016/j.ijmedinf.2019.104067
    • 小島 諒介, 鈴木真知子, 荒木綾乃, 奥野恭史.「重度障害児（者）のコミュニケーション向上に向けたアイトラッカーを用いた視線分析」日本重症心身障害学会誌, Dec, 2019;44(3):615-623.
    • Ishida S, Terayama K, Kojima R, Takasu K, Okuno Y. “Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks” J Chem Inf Model 2019;59(12):5026-33. Available from: https://doi.org/10.1021/acs.jcim.9b00538
    • Kita Y, Hamada A, Saito R, Teramoto Y, Tanaka R, Takano K, Nakayama K, Murakami K, Matsumoto K, Akamatsu S, Yamasaki T, Inoue T, Tabata Y, Okuno Y, Ogawa O, Kobayashi T. “Systematic chemical screening identifies disulfiram as a repurposed drug that enhances sensitivity to cisplatin in bladder cancer: a summary of preclinical studies” Br J Cancer 2019;121(12):1027-38. Available from: https://doi.org/10.1038/s41416-019-0609-0
    • Kamada, M., Naktsui,M., Kojima,R., Nohara.S., Uchino,E., Tanishima,S., Sugiyama,M., Kosaki,K., Tokunaga,K., Mizokam,M., Okuno,Y.,”MGeND: an integrated database for Japanese clinical and genomic information” Hum Genome Var 2019;6:53. Available from: https://dx.doi.org/10.1038%2Fs41439-019-0084-4
    • Negami T, Araki M, Okuno Y, Terada T. Calculation of absolute binding free energies between the hERG channel and structurally diverse drugs. Sci Rep [Internet]  2019;9(1):16586. Available from: http://dx.doi.org/10.1038/s41598-019-53120-6
    • Iwata H, Kojima R, Okuno Y. “An in Silico Approach for Integrating Phenotypic and Target-based Approaches in Drug Discovery” Mol Inform. 2020;39(1-2):1900096. Available from: https://doi.org/10.1002/minf.201900096
    • Tokuhisa A. “Characterization of X-ray diffraction intensity function from a biological molecule for single particle imaging” Biophys Physicobiol. 2019;16:430-43. Available from: https://doi.org/10.2142/biophysico.16.0_430
    • Chiba S, Okuno Y, Honma T, Ikeguchi M. “Force-field parametrization based on radial and energy distribution functions” J Comput Chem 2019;40(29):2577–85. Available from: https://doi.org/10.1002/jcc.26035
    • Quy,PN., Kanai, M., Fukuyama, K., Kou, T., Kondo, T., Yamamoto, Y., Matsubara, J., Hiroshima, A., Mochizuki, H., Sakuma, T., Kamada, M., Nakatsui, M., Eso, Y., Seno, H., Masui, T., Masui, K., Minamiguchi, S., Matsumoto, S., Muto, M.”Association between preanalytical factors and tumor mutational burden estimated by next-generation sequencing-based multiplex gene panel assay” The Oncologist. 2019;24(12):e1401-e1408. Available from: https://doi.org/10.1634/theoncologist.2018-0587
    • Ikemura, S., Yasuda, H., Matsumoto, S., Kamada, M., Hamamoto, J., Masuzawa, K., Kobayashi, K., Manabe, T., Arai, D., Nakachi, I., Kawada, I., Ishioka, K., Nakamura, M., Namkoong, H., Naoki, K., Ono, F., Araki, M., Kanada, R., Ma, B., Hayashi, Y., Mimaki, S., Yoh, K., Kobayashi, S., Kohno, T., Okuno, Y., Goto, K., Tsuchihara, K., and Soejima, K. “Molecular dynamics simulation-guided drug sensitivity prediction for lung cancer with rare EGFR mutations” PNAS  2019;116(20):10025-10030. Available from: https://doi.org/10.1073/pnas.1819430116
    • Ikeda, A., Funakoshi, E., Araki, M., Ma, B., Karuo, Y., Tarui, A., Sato, K., Okuno, Y., Kawai, K., Omote, M. “Structural modification of indomethacin toward selective inhibition of COX-2 with a significant increase in van der Waals contributions” Bioorg Med Chem. 2019;27(9):1789-1794. Avalilable from: https://doi.org/10.1016/j.bmc.2019.03.021
    • Okada, K., Araki, M., Sakashita, T., Ma, B., Kanada, R., Yanagitani, N., Horiike, A., Koike, S., Oh-hara, T., Watanabe, K., Tamai, K., Maemondo, M., Nishio, M., Ishikawa, T., Okuno, Y., Fujita, N., Katayama, R. “Prediction of ALK mutations mediating ALK-TKIs resistance and drug re-purposing to overcome the resistance” EBioMedicine. 2019;41:105-119. Available from: https://doi.org/10.1016/j.ebiom.2019.01.019
    • Shiraishi, A., Okuda, T., Miyasaka, N., Osugi, T., Okuno, Y., Inoue, J., Satake, H. “Repertoires of G protein-coupled receptors for Ciona-specific neuropeptides” PNAS. b2019;116(16):7847-7856. Available from: https://doi.org/10.1073/pnas.1816640116
    • Bekker, G.J., Araki, M., Oshima, K., Okuno, Y., Kamiya, N. “Dynamic Docking of a Medium-Sized Molecule to Its Receptor by Multicanonical MD Simulations” J. Phys. Chem. B. 2019;123(11):2479-2490. Available from: https://doi.org/10.1021/acs.jpcb.8b12419
    • Mizumoto, A., Ohashi, S., Kamada, M., Saito, T., Nakai, Y., Baba, K., Hirohashi, K., Mitani, Y., Kikuchi, O., Matsubara, J., Yamada, A., Takahashi, T., Lee, H., Okuno, Y., Kanai, M., and Muto, M. “Combination treatment with highly bioavailable curcumin and NQO1 inhibitor exhibits potent antitumor effects on esophageal squamous cell carcinoma” J Gastroenterol. 2019;54:687-698. Available from: https://doi.org/10.1007/s00535-019-01549-x
    • Yamada, K., Sato, H., Sakamaki, K., Kamada, M., Okuno, Y., Fukuishi, N., Furuta, K., and Tanaka, S. “Suppression of IgE-Independent Degranulation of Murine Connective Tissue-Type Mast cells by Dexamethasone” Cells. 2019;8(2):E112. Available from: https://doi.org/10.3390/cells8020112
    • Terayama, K., Tamura, R., Nose, Y., Hiramatsu, H., Hosono, H., Okuno, Y., Tsuda, K. “Efficient Construction Method for Phase Diagrams Using Uncertainty Sampling” Phys Rev Mater, accepted on 26 Jan, 2019. Available from: https://doi.org/10.1103/PhysRevMaterials.3.033802