宮尾 知幸

所属 データ駆動型サイエンス創造センター データ駆動型サイエンス創造センター、物質創成科学領域 基幹研究室
職位 准教授
学位
研究室 マテリアルズ・インフォマティクス部門、データ駆動型化学
研究キーワード
ケモインフォマティクス
研究分野
情報通信 / 生命、健康、医療情報学 /
研究室概要
学術論文
"Analog Accessibility Score (AAscore) for Rational Compound Selection," Journal of Chemical Information and Modeling, 6 Dec. 2024
Takato Ue, SATO Akinori, Tomoyuki Miyao
"Data-Driven Molecular Structure Generation for Inverse QSPR/QSAR Problem," Drug Development Supported by Informatics, pp47-59, 19 Oct. 2024
Kimito Funatsu, Tomoyuki Miyao
[ doi:10.1007/978-981-97-4828-0_3 ]
"Two- and Three-Dimensional Molecular Representations in Ligand-Based Approaches," Drug Development Supported by Informatics, pp175-186, 19 Oct. 2024
Kimito Funatsu, Tomoyuki Miyao
[ doi:10.1007/978-981-97-4828-0_10 ]
"Chemical Graph-Based Transformer Models for Yield Prediction of High-Throughput Cross-Coupling Reaction Datasets," ACS Omega, vol.9(39), pp40907-40919, 17 Sep. 2024
Akinori Sato, Ryosuke Asahara, Tomoyuki Miyao
"Bridging Structure- and Ligand-Based Virtual Screening through Fragmented Interaction Fingerprint," ACS Omega, vol.9(37), pp38957-38969, 3 Sep. 2024
Rezi Riadhi Syahdi, Swarit Jasial, Itsuki Maeda, Tomoyuki Miyao
"Scaffold-Hopped Compound Identification by Ligand-Based Approaches with a Prospective Affinity Test," J. Chem. Inf. Model., vol.64, no.14, pp5557-5569, 22 Jul. 2024
Itsuki Maeda, Shunsuke Tamura, Yoshihiro Ogura, Takayuki Serizawa, Takashi Shimada, Ryo Kunimoto, Tomoyuki Miyao
"Multiple comonomer concentrations prediction from FTIR spectra with quantum chemistry-based interpretation," MRS Communications , vol.14, pp439-444, 20 May. 2024
Araki Wakiuchi, Swarit Jasial, Shigehito Asano, Ryo Hashizume, Miho Hatanaka, Yu-ya Ohnishi, Takamitsu Matsubara, Hiroharu Ajiro, Teshunori Sugawara, Mikiya Fujii, Tomoyuki Miyao
[ doi:10.1557/s43579-024-00568-x ]
"Designing Heat-Resistant and Moldable Polyester Resin by the Integration of Machine Learning Models with Expert Knowledge," ACS Appl. Polym. Mater., 4 Apr. 2024
Fan Zhang, Tomoyuki Miyao, Yuuta Izumiya, Chia Hsiu Chen, Kimito Funatsu
"Generalizability Improvement of Interpretable Symbolic Regression Models for Quantitative Structure–Activity Relationships," ACS Omega, vol.9, no.8, pp9463-9474, 16 Feb. 2024
Tomoyuki Miyao
"Interface State Density Prediction between an Insulator and a Semiconductor by Gaussian Process Regression Models for a Modified Process," ACS Omega, vol.8, no.30, pp27458-27466, 18 Jul. 2023
Kanta Matsunaga, Takuto Harada, Shintaro Harada, Akinori Sato, Shota Terai, Mutsunori Uenuma, Tomoyuki Miyao, Yukiharu Uraoka
"Chemometrics Approach Based on Wavelet Transforms for the Estimation of Monomer Concentrations from FTIR Spectra," ACS Omega, vol.8, pp19781-19788, 23 May. 2023
Araki Wakiuchi, Swarit Jasial, Shigehito Asano, Ryo Hahizume, Miho Hatanaka, Yu-ya Ohnishi, Takamitsu Matsubara, Hiroharu Ajiro, Tetsunori Sugawara, Tomoyuki Miyao, Mikiya Fujii
[ doi:10.1021/acsomega.3c01515 ]
"Extrapolation performance improvement by quantum chemical calculations for machine-learning-based predictions of flow-synthesized binary copolymers," Digital Discovery, vol.2, pp809-818, 8 May. 2023
Takayama Tomoaki, TAKASUKA Shogo, Yosuke Harashima, Mikiya Fujii, Tomoyuki Miyao, Hiroharu Ajiro, Shunto Oikawa, Takayoshi Yoshimura, Sho Ito, Shigehito Asano, Akira Kurosawa, Tetsunori Sugawara, Miho Hatanaka, Takamitsu Matsubara, Yu-ya Ohnishi
[ doi:10.1039/D2DD00144F ]
"Composition Regulation by Flow Copolymerization of Methyl Methacrylate and Glycidyl Methacrylate with Free Radical Method," Macromolecular Materials and Engineering, no.2200626, 22 Jan. 2023
Wakiuchi Araki, Takasuka Shogo, Asano Shigehito, Ryo Hashizume, Aniruddha Nag, Miho Hatanaka, Tomoyuki Miyao, Ohnishi Yuya, Takamitsu Matsubara, Tsuyoshi Ando, Sugawara Tetsunori, Hiroharu Ajiro
[ doi:10.1002/mame.202200626 ]
"Large-scale prediction of activity cliffs using machine and deep learning methods of increasing complexity," Journal of Cheminformatics Part of Springer Nature., vol.15, no.4, 7 Jan. 2023
Shunsuke Tamura, Tomoyuki Miyao, Jürgen Bajorath
"Screening and Validation of Odorants against Influenza A Virus Using Interpretable Regression Models," ACS Pharmacol. Transl. Sci., vol.6, no.1, pp139-150, 15 Dec. 2022
Swarit Jasial, Jieying Hu, Tomoyuki Miyao, Yui Hirama, Shintaro Onishi, Ryoichi Matsui, Koji Osaki, Kimito Funatsu
"Composition Regulation by Flow Copolymerization of Methyl Methacrylate and Glycidyl Methacrylate with Free Radical Metho," Macromol. Mater. Eng, pp2200626-2200626, Dec. 2022
Araki Wakiuchi, TAKASUKA Shogo, Shigehito Asano, Ryo Hashizume, Aniruddha Nag, Miho Hatanaka, Tomoyuki Miyao, Yuya Ohnishi, Takamitsu Matsubara, Tsuyoshi Ando, Tetsunori Sugawara, Mikiya Fujii, Hiroharu Ajiro
[ doi:10.1002/mame.202200626 ]
"Symbolic regression for the interpretation of quantitative structure-property relationships," Elsevier Artificial Intelligence in the Life Sciences, vol.2, no.100046, 5 Nov. 2022
Katsushi Takaki, Tomoyuki Miyao
"Extended Connectivity Fingerprints as a Chemical Reaction Representation for Enantioselective Organophosphorus-Catalyzed Asymmetric Reaction Prediction," ACS OMEGA, vol.7, no.30, pp26952-26964, 24 Jul. 2022
Ryosuke Asahara, Tomoyuki Miyao
"Mechanism assay of interaction between blood vessels-near infrared probe and cell surface marker proteins of endothelial cells," Materials Today Bio, vol.15, Jun. 2022
Muhammad AsriAbdu Sisak, Fiona Louis, Tomoyuki Miyao, Sun Hyeok Lee, Young-Tae Chang, Michiya Matsusakia
"Visualization of Topological Pharmacophore Space with Graph Edit Distance," ACS OMEGA, vol.7, no.16, pp14057-14068, 12 Apr. 2022
Hiroshi Nakano, Tomoyuki Miyao
"Governing Factors for Carbon Nanotube Dispersion in Organic Solvents Estimated by Machine Learning," ADVANCED MATERIALS INTERFACES, vol.9, pp2101723, Mar. 2022
Nonoguchi Yoshiyuki, Tomoyuki Miyao, Goto Chigusa, Tsuyoshi Kawai, Kimito Funatsu
[ doi:10.1002/admi.202101723 ]
"Ligand-based approaches to activity prediction for the early stage of structure-activity-relationship progression," J Comput Aided Mol Des, vol.36, no.3, pp237-252, Mar. 2022
Itsuki Maeda, Akinori Sato, Shunsuke Tamura, Tomoyuki Miyao
"Prediction of Reaction Yield for Buchwald-Hartwig Cross-coupling Reactions Using Deep Learning," moleculear informatics, 29 Sep. 2021
Tomoyuki Miyao, Kimito Funatsu, Akinori Sato
[ NAISTレポジトリ ]
"Interpretation of Ligand-based Activity Cliff Prediction Models using the Matched Molecular Pair Kernel," molecules, vol.26, no.16, 16 Jul. 2021
Kimito Funatsu, Tomoyuki Miyao, Swarit Jasial, Shunsuke Tamura
"Sparse Topological Pharmacophore Graphs for Interpretable Scaffold Hopping," Journal of Chemical Information and Modeling, vol.61, no.7, 15 Jul. 2021
Kimito Funatsu, Tomoyuki Miyao, Swarit Jasial, Hiroshi Nakano
[ NAISTレポジトリ ]
"Ranking-Oriented Quantitative Structure-Activity Relationship Modeling Combined with Assay-Wise Data Integration.," ACS Omega, 26 Jan. 2021
Kimito Funatsu, Tomoyuki Miyao, Katsuhisa Matsumoto
"Comparing predictive ability of QSAR/QSPR models using 2D and 3D molecular representations.," Journal of Computer-Aided Molecular Design, vol.35, pp179-193, 5 Jul. 2020
Kimito Funatsu, Tomoyuki Miyao, Swarit Jasial, Akinori Sato
[ NAISTレポジトリ ]
"Soft Sensor Modeling for Identifying Significant Process Variables with Time Delays," Industrial & Engineering Chemistry Research, vol.59, no.26, pp12156-12163, 4 Jun. 2020
Tomoyuki Miyao, Kimito Funatsu
[ NAISTレポジトリ ]
"Exploring Topological Pharmacophore Graphs for Scaffold Hopping," J. Chem. Inf. Model., vol.60, no.2, pp2073-2081, 23 Mar. 2020
Hiroshi Nakano, Kimito Funatsu, Tomoyuki Miyao
[ NAISTレポジトリ ]
"Ligand-based Activity Cliff Prediction Models with Applicability Domain.," molecular informatics, vol.39, no.12, 3 Jan. 2020
Tomoyuki Miyao, Kimito Funatsu, Shunsuke Tamura
[ NAISTレポジトリ ]
"Soft-Sensor Modeling for Semi-Batch Chemical Process Using Limited Number of Sampling," Journal of Computer Aided Chemistry, vol.20, pp119-132, 28 Dec. 2019
Shinichiro Aoshima, Kimito Funatsu, Tomoyuki Miyao
"Relationships of Polymer Properties and Predicting Polymer Properties Based on Monomer Structure Information," Journal of Computer Aided Chemistry, vol.20, pp84-91, 26 Dec. 2019
Hitoshi Yamano, Tomoyuki Miyao, Naoaki Ono, Aki Morita, Shigehiko Kanaya
"Large-Scale Comparison of Alternative Similarity Search Strategies with Varying Chemical Information Contents," ACS Omega 4, pp15304-15311, 5 Sep. 2019
Oliver Laufkötter, Tomoyuki Miyao, Jürgen Bajorath
"Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships," Journal of Computer-Aided Molecular Design, vol.33, pp729-743, 21 Aug. 2019
Tomoyuki Miyao, Swarit Jasial, Jürgen Bajorath, Kimito Funatsu
"Iterative Screening Methods for Identification of Chemical Compounds with Specific Values of Various Properties.," Journal of Chemical Information and Modeling , vol.59, no.6, pp2626-2641, May. 2019
Tomoyuki Miyao, Kimito Funatsu
"Development of R-Group Fingerprints Based on the Local Landscape from an Attachment Point of a Molecular Structure ," Journal of Chemical Information and Modeling, vol.59, pp2656-2663, May. 2019
Shunsuke Tamura, Tomoyuki Miyao, Kimito Funatsu
"Three-dimensional activity landscape models of different design and their application to compound mapping and potency prediction.," Journal of Chemical Information and Modeling , vol.59, no.3, pp993-1004, Mar. 2019
Tomoyuki Miyao, Kimito Funatsu, Jürgen Bajorath
"Exploring alternative strategies for the identification of potent compounds using support vector machine and regression modeling.," Journal of Chemical Information and Modeling , vol.59, no.3, pp983-992, Mar. 2019
宮尾 知幸, 船津 公人, Jürgen Bajorath
" Computational assessment of chemical saturation of analog series under varying conditions," ACS Omega, vol.3, no.11, pp15799-15808, 20 Nov. 2018
Dimitar Yonchev, Martin Vogt, Dagmar Stumpfe, Tomoyuki Miyao, Jürgen Bajorath
"Exploring ensembles of bioactive or virtual analogs of X-ray ligands for shape similarity searching," Journal of Computer-Aided Molecular Design, vol.32, no.7, pp759-767, 2 Jul. 2018
Tomoyuki Miyao, Jürgen Bajorath
受賞
"優秀講演賞," 第45回ケモインフォマティクス討論会, 2022.11.19
浅原 崚佑
"日本コンピュータ化学会奨学賞," 日本コンピュータ化学会2020秋季年会, 2020.11.6
佐藤 彰准, 船津 公人
"Excellent Poster Award ," The 18th Asian Pacific Confederation of Chemical Engineering Congress(APCChE), 24 Sep. 2019
Shinichiro Aoshima, Tomoyuki Miyao, Kimito Funatsu
"最優秀講演賞(若手研究者部門)," 第41回ケモインフォマティクス討論会, 2018.10.27
宮尾 知幸, 船津 公人
所属学協会
資料

高橋 崇典

職位 助教
領域 物質創成科学領域 基幹研究室
研究室 情報機能素子科学

ディスプレイ、メモリ、LSIなど、次世代の情報機能をもつ半導体素子、電子デバイスの研究を行う。また、高効率な太陽電池や熱電変換素子など、エナジーハーべスティングのキーデバイスを薄膜技術を駆使して実現する。

船津 公人

職位 特任教授
領域 データ駆動型サイエンス創造センター データ駆動型サイエンス創造センター
研究室 マテリアルズ・インフォマティクス部門

佐藤 彰准

職位 特任助教
領域 データ駆動型サイエンス創造センター データ駆動型サイエンス創造センター
研究室 マテリアルズ・インフォマティクス部門

田中 英也

職位 博士研究員
領域 データ駆動型サイエンス創造センター データ駆動型サイエンス創造センター
研究室 マテリアルズ・インフォマティクス部門

LEE JEMYUNG

職位 博士研究員
領域 データ駆動型サイエンス創造センター データ駆動型サイエンス創造センター
研究室 マテリアルズ・インフォマティクス部門