Publications by authors named "Ryusuke Sawada"

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Collagen-binding C-type natriuretic peptide enhances chondrogenesis and osteogenesis.
Kenta Hirai, Kenta Sawamura, Ryusaku Esaki, Ryusuke Sawada, Yuka Okusha

JCI Insight· December 2025

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Human Microbiome-Based Prediction of Health Effects of Foods via Machine Learning.
Nanako Inoue, Tomokazu Shibata, Ryusuke Sawada, Yoshihiro Yamanishi

J Agric Food Chem· September 2025

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Big data-driven target identification by machine learning: DRD2 as a therapeutic target for psoriasis.
Takashi Sakai, Ryusuke Sawada, Otoha Ichinose, Takeshi Terabayashi, Yutaka Hatano

J Dermatol Sci· July 2025

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Pathway-based prediction of the therapeutic effects and mode of action of custom-made multiherbal medicines.
Akihiro Ezoe, Yuki Shimada, Ryusuke Sawada, Akihiro Douke, Tomokazu Shibata

Mol Inform· November 2024

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Eight-Year Outcomes of Cardiosphere-Derived Cells in Single Ventricle Congenital Heart Disease.
Kenta Hirai, Ryusuke Sawada, Tomohiro Hayashi, Toru Araki, Naomi Nakagawa

J Am Heart Assoc· November 2024

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A class of chemical compounds enhances clustering of muscle nicotinic acetylcholine receptor in cultured myogenic cells.
Yuichi Miyairi, Bisei Ohkawara, Ayato Sato, Ryusuke Sawada, Hisao Ishii

Biochem Biophys Res Commun· October 2024

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Revealing Comprehensive Food Functionalities and Mechanisms of Action through Machine Learning.
Nanako Inoue, Tomokazu Shibata, Yusuke Tanaka, Hiromu Taguchi, Ryusuke Sawada

J Chem Inf Model· July 2024

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A network-based trans-omics approach for predicting synergistic drug combinations.
Midori Iida, Yurika Kuniki, Kenta Yagi, Mitsuhiro Goda, Satoko Namba, Ryusuke Sawada

Commun Med (Lond)· July 2024

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Predicting therapeutic and side effects from drug binding affinities to human proteome structures.
Ryusuke Sawada, Yuko Sakajiri, Tomokazu Shibata, Yoshihiro Yamanishi

iScience· June 2024

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Design and structural optimization of thiadiazole derivatives with potent GLS1 inhibitory activity.
Takuya Okada, Kaho Yamabe, Michiko Jo, Yuko Sakajiri, Tomokazu Shibata, Ryusuke Sawada

Bioorg Med Chem Lett· September 2023

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Differential effects of proton pump inhibitors and vonoprazan on vascular endothelial growth factor expression in cancer cells.
Rie Ando-Matsuoka, Kenta Yagi, Mayu Takaoka, Yuko Sakajiri, Tomokazu Shibata, Ryusuke Sawada

Drug Dev Res· February 2023

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A trial of topiramate for patients with hereditary spinocerebellar ataxia.
Shiroh Miura, Ryusuke Sawada, Akiko Yorita, Hiroshi Kida, Takashi Kamada

Clin Case Rep· February 2023

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In silico systems for predicting chemical-induced side effects using known and potential chemical protein interactions, enabling mechanism estimation.
Yuto Amano, Hiroshi Honda, Ryusuke Sawada, Yuko Nukada, Masayuki Yamane

J Toxicol Sci· September 2020

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Prediction of the Health Effects of Food Peptides and Elucidation of the Mode-of-action Using Multi-task Graph Convolutional Neural Network.
Itsuki Fukunaga, Ryusuke Sawada, Tomokazu Shibata, Kazuma Kaitoh, Yukie Sakai

Mol Inform· January 2020

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Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm.
Michio Iwata, Longhao Yuan, Qibin Zhao, Yasuo Tabei, Francois Berenger, Ryusuke Sawada

Bioinformatics· July 2019

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Network-based characterization of drug-protein interaction signatures with a space-efficient approach.
Yasuo Tabei, Masaaki Kotera, Ryusuke Sawada, Yoshihiro Yamanishi

BMC Syst Biol· April 2019

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Pathway-Based Drug Repositioning for Cancers: Computational Prediction and Experimental Validation.
Michio Iwata, Lisa Hirose, Hiroshi Kohara, Jiyuan Liao, Ryusuke Sawada

J Med Chem· November 2018

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KampoDB, database of predicted targets and functional annotations of natural medicines.
Ryusuke Sawada, Michio Iwata, Masahito Umezaki, Yoshihiko Usui, Toshikazu Kobayashi

Sci Rep· July 2018

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Biological meaning of "habitable zone" in nucleotide composition space.
Shigeki Mitaku, Ryusuke Sawada

Biophys Physicobiol· April 2018

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Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures.
Ryusuke Sawada, Michio Iwata, Yasuo Tabei, Haruka Yamato, Yoshihiro Yamanishi

Sci Rep· January 2018

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Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics.
Michio Iwata, Ryusuke Sawada, Hiroaki Iwata, Masaaki Kotera, Yoshihiro Yamanishi

Sci Rep· January 2017

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What parameters characterize "life"?
Shigeki Mitaku, Ryusuke Sawada

Biophys Physicobiol· November 2016

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Target-Based Drug Repositioning Using Large-Scale Chemical-Protein Interactome Data.
Ryusuke Sawada, Hiroaki Iwata, Sayaka Mizutani, Yoshihiro Yamanishi

J Chem Inf Model· December 2015

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Large-Scale Prediction of Beneficial Drug Combinations Using Drug Efficacy and Target Profiles.
Hiroaki Iwata, Ryusuke Sawada, Sayaka Mizutani, Masaaki Kotera, Yoshihiro Yamanishi

J Chem Inf Model· December 2015

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Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner.
Yoshiyuki Hizukuri, Ryusuke Sawada, Yoshihiro Yamanishi

BMC Med Genomics· December 2015

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