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Tomohiro Sato
Tomohiro Sato
RIKEN, BDR
Verified email at riken.jp
Title
Cited by
Cited by
Year
Combining machine learning and pharmacophore-based interaction fingerprint for in silico screening
T Sato, T Honma, S Yokoyama
Journal of chemical information and modeling 50 (1), 170-185, 2010
1362010
A Rac GTPase-activating protein, MgcRacGAP, is a nuclear localizing signal-containing nuclear chaperone in the activation of STAT transcription factors
T Kawashima, YC Bao, Y Minoshima, Y Nomura, T Hatori, T Hori, ...
Molecular and cellular biology 29 (7), 1796-1813, 2009
912009
Support Vector Machine model for hERG inhibitory activities based on the integrated hERG database using descriptor selection by NSGA-II
K Ogura, T Sato, H Yuki, T Honma
Scientific reports 9 (1), 12220, 2019
452019
FMODB: The world’s first database of quantum mechanical calculations for biomacromolecules based on the fragment molecular orbital method
D Takaya, C Watanabe, S Nagase, K Kamisaka, Y Okiyama, H Moriwaki, ...
Journal of chemical information and modeling 61 (2), 777-794, 2021
292021
Application of support vector machine to three-dimensional shape-based virtual screening using comprehensive three-dimensional molecular shape overlay with known inhibitors
T Sato, H Yuki, D Takaya, S Sasaki, A Tanaka, T Honma
Journal of chemical information and modeling 52 (4), 1015-1026, 2012
292012
In Silico Functional Profiling of Small Molecules and Its Applications
T Sato, Y Matsuo, T Honma, S Yokoyama
Journal of medicinal chemistry 51 (24), 7705-7716, 2008
272008
Discovery of trypanocidal coumarins with dual inhibition of both the glycerol kinase and alternative oxidase of Trypanosoma brucei brucei
EO Balogun, DK Inaoka, T Shiba, C Tsuge, B May, T Sato, Y Kido, T Nara, ...
The FASEB Journal 33 (11), 13002-13013, 2019
252019
Identification of novel drug-resistant EGFR mutant inhibitors by in silico screening using comprehensive assessments of protein structures
T Sato, H Watanabe, K Tsuganezawa, H Yuki, J Mikuni, S Yoshikawa, ...
Bioorganic & medicinal chemistry 20 (12), 3756-3767, 2012
152012
ALK2: a therapeutic target for fibrodysplasia ossificans progressiva and diffuse intrinsic pontine glioma
K Sekimata, T Sato, N Sakai
Chemical and Pharmaceutical Bulletin 68 (3), 194-200, 2020
142020
Structural basis of activin receptor-like kinase 2 (R206H) inhibition by bis-heteroaryl pyrazole-based inhibitors for the treatment of fibrodysplasia ossificans progressiva …
T Sato, K Sekimata, N Sakai, H Watanabe, C Mishima-Tsumagari, ...
ACS omega 5 (20), 11411-11423, 2020
102020
Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search
T Yoshizawa, S Ishida, T Sato, M Ohta, T Honma, K Terayama
Journal of Chemical Information and Modeling 62 (22), 5351-5360, 2022
62022
Anthocyanin 5, 3′-aromatic acyltransferase from Gentiana triflora, a structural insight into biosynthesis of a blue anthocyanin
K Murayama, M Kato-Murayama, T Sato, T Hosaka, K Ishiguro, T Mizuno, ...
Phytochemistry 186, 112727, 2021
62021
A public–private partnership to enrich the development of in silico predictive models for pharmacokinetic and cardiotoxic properties
H Komura, R Watanabe, H Kawashima, R Ohashi, M Kuroda, T Sato, ...
Drug Discovery Today 26 (5), 1275-1283, 2021
62021
Novel bicyclic pyrazoles as potent ALK2 (R206H) inhibitors for the treatment of fibrodysplasia ossificans progressiva
H Yamamoto, N Sakai, S Ohte, T Sato, K Sekimata, T Matsumoto, ...
Bioorganic & Medicinal Chemistry Letters 38, 127858, 2021
52021
Discovery of Novel Substrate-Competitive Lysine Methyltransferase G9a Inhibitors as Anticancer Agents
Y Nishigaya, S Takase, T Sumiya, K Kikuzato, T Sato, H Niwa, S Sato, ...
Journal of Medicinal Chemistry 66 (6), 4059-4085, 2023
42023
Design and synthesis of tranylcypromine-derived LSD1 inhibitors with improved hERG and microsomal stability profiles
Y Koda, S Sato, H Yamamoto, H Niwa, H Watanabe, C Watanabe, T Sato, ...
ACS Medicinal Chemistry Letters 13 (5), 848-854, 2022
42022
Prediction of ligand-induced structural polymorphism of receptor interaction sites using machine learning
D Takaya, T Sato, H Yuki, S Sasaki, A Tanaka, S Yokoyama, T Honma
Journal of chemical information and modeling 53 (3), 704-716, 2013
42013
Quantitative prediction of hERG inhibitory activities using support vector regression and the integrated hERG dataset in AMED cardiotoxicity database
T Sato, H Yuki, T Honma
Chem-Bio Informatics Journal 21, 70-80, 2021
22021
Bioisostere Identification by Determining the Amino Acid Binding Preferences of Common Chemical Fragments
T Sato, N Hashimoto, T Honma
Journal of Chemical Information and Modeling 57 (12), 2938-2947, 2017
22017
BMP-signal-inhibiting compound
Y Hashizume, K Sekimata, H Kubota, H Yamamoto, Y Koda, H Koyama, ...
US Patent 10,954,216, 2021
12021
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