Rchr
J-GLOBAL ID：202301015930974574
Update date: Sep. 20, 2024
Sawada Ryusuke
Sawada Ryusuke
Affiliation and department：
Job title：
Assistant Professor
Research theme for competitive and other funds (1)：
- 2023 - 2026 Prediction of drug efficacies with AI methodologies for the medical application of plasma proteins
Papers (29)：
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Midori Iida, Yurika Kuniki, Kenta Yagi, Mitsuhiro Goda, Satoko Namba, Jun-Ichi Takeshita, Ryusuke Sawada, Michio Iwata, Yoshito Zamami, Keisuke Ishizawa, et al. A network-based trans-omics approach for predicting synergistic drug combinations. Communications medicine. 2024. 4. 1. 154-154
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Nanako Inoue, Tomokazu Shibata, Yusuke Tanaka, Hiromu Taguchi, Ryusuke Sawada, Kenshin Goto, Shogo Momokita, Morihiro Aoyagi, Takashi Hirao, Yoshihiro Yamanishi. Revealing Comprehensive Food Functionalities and Mechanisms of Action through Machine Learning. Journal of chemical information and modeling. 2024. 64. 14. 5712-5724
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Yuichi Miyairi, Bisei Ohkawara, Ayato Sato, Ryusuke Sawada, Hisao Ishii, Hiroyuki Tomita, Taro Inoue, Hiroaki Nakashima, Mikako Ito, Akio Masuda, et al. A class of chemical compounds enhances clustering of muscle nicotinic acetylcholine receptor in cultured myogenic cells. Biochemical and biophysical research communications. 2024. 731. 150400-150400
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Ryusuke Sawada, Yuko Sakajiri, Tomokazu Shibata, Yoshihiro Yamanishi. Predicting therapeutic and side effects from drug binding affinities to human proteome structures. iScience. 2024. 27. 6. 110032-110032
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Takuya Okada, Kaho Yamabe, Michiko Jo, Yuko Sakajiri, Tomokazu Shibata, Ryusuke Sawada, Yoshihiro Yamanishi, Daisuke Kanayama, Hisashi Mori, Mineyuki Mizuguchi, et al. Design and structural optimization of thiadiazole derivatives with potent GLS1 inhibitory activity. Bioorganic & medicinal chemistry letters. 2023. 93. 129438-129438
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MISC (13)：
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坂尻由子, 柴田友和, 澤田隆介, 山西芳裕. Drug repositioning based on the docking affinity for all human protein structures obtained by AlphaFold2. 日本薬学会年会要旨集(Web). 2022. 142nd
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澤田隆介, 柴田友和, 坂尻由子, 山西芳裕. Drug side-effect prediction based on the binding affinity with all human protein structures obtained by AlphaFold2. 日本薬学会年会要旨集(Web). 2022. 142nd
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柴田友和, 田中由祐, 田口大夢, 澤田隆介, 青柳守紘, 平尾宜司, 山西芳裕. Large-scale prediction of food functions and elucidation of the mode-of-action by machine learning. 日本薬学会年会要旨集(Web). 2022. 142nd
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島田祐樹, 江副晃洋, 澤田隆介, 柴田友和, 門脇真, 山西芳裕. 生薬比率を考慮した漢方薬の作用機序や効能のin silico予測. 和漢医薬学会学術大会要旨集. 2022. 39th
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三浦 史郎, 澤田 隆介, 貴田 浩志, 頼田 章子, 鎌田 崇嗣, 山西 芳裕. 遺伝性脊髄小脳変性症にトピラマートは有効か?. 臨床神経学. 2020. 60. Suppl. S433-S433
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Education (2)：
- 2006 - 2009 Nagoya University Graduate School of Engineering
- 2004 - 2006 Nagoya University Graduate School of Engineering
Professional career (1)：
- Ph.D. in Engineering (Nagoya University)
Work history (6)：
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