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ORCIDRyusuke Sawada
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2020 – today
- 2024
[j7]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. J. Chem. Inf. Model. 64(14): 5712-5724 (2024)
2010 – 2019
- 2019
- [j6]Michio Iwata, Longhao Yuan, Qibin Zhao, Yasuo Tabei, Francois Berenger, Ryusuke Sawada, Sayaka Akiyoshi, Momoko Hamano, Yoshihiro Yamanishi:
Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm. Bioinform. 35(14): i191-i199 (2019) - [j5]Yasuo Tabei, Masaaki Kotera, Ryusuke Sawada, Yoshihiro Yamanishi:
Network-based characterization of drug-protein interaction signatures with a space-efficient approach. BMC Syst. Biol. 13-S(2): 39:1-39:15 (2019) - 2015
- [j4]Hiroaki Iwata, Ryusuke Sawada, Sayaka Mizutani, Yoshihiro Yamanishi:
Systematic Drug Repositioning for a Wide Range of Diseases with Integrative Analyses of Phenotypic and Molecular Data. J. Chem. Inf. Model. 55(2): 446-459 (2015) - [j3]Hiroaki Iwata, Ryusuke Sawada, Sayaka Mizutani, Masaaki Kotera, Yoshihiro Yamanishi:
Large-Scale Prediction of Beneficial Drug Combinations Using Drug Efficacy and Target Profiles. J. Chem. Inf. Model. 55(12): 2705-2716 (2015) - [j2]Ryusuke Sawada, Hiroaki Iwata, Sayaka Mizutani, Yoshihiro Yamanishi:
Target-Based Drug Repositioning Using Large-Scale Chemical-Protein Interactome Data. J. Chem. Inf. Model. 55(12): 2717-2730 (2015) - 2014
- [j1]Yoshihiro Yamanishi, Masaaki Kotera, Yuki Moriya, Ryusuke Sawada, Minoru Kanehisa, Susumu Goto:
DINIES: drug-target interaction network inference engine based on supervised analysis. Nucleic Acids Res. 42(Webserver-Issue): 39-45 (2014)
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