Ryusuke Sawada

发表

Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures

Yoshihiro Yamanishi, Ryusuke Sawada, Michio Iwata, 2018, Scientific Reports.

Benchmarking a Wide Range of Chemical Descriptors for Drug‐Target Interaction Prediction Using a Chemogenomic Approach

Yoshihiro Yamanishi, Masaaki Kotera, Ryusuke Sawada, 2014, Molecular informatics.

How are exons encoding transmembrane sequences distributed in the exon–intron structure of genes?

Ryusuke Sawada, S. Mitaku, 2011, Genes to cells : devoted to molecular & cellular mechanisms.

KampoDB, database of predicted targets and functional annotations of natural medicines

Yoshihiro Yamanishi, Ryusuke Sawada, Michio Iwata, 2018, Scientific Reports.

Characteristic Distribution of GC Contents for Proteins with Charge Periodicity of 28 Residues

Ryusuke Sawada, R. Ke, 2006 .

Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm

Yoshihiro Yamanishi, Qibin Zhao, Francois Berenger, 2019, Bioinform..

Number Distribution of Transmembrane Helices in Prokaryote Genomes

Ryusuke Sawada, S. Mitaku, 2011 .

Ratio of membrane proteins in total proteomes of prokaryota

Ryusuke Sawada, T. Tsuji, R. Ke, 2007, Biophysics.

Differential effects of proton pump inhibitors and vonoprazan on vascular endothelial growth factor expression in cancer cells

Ryusuke Sawada, K. Ishizawa, A. Maruo, 2022, Drug development research.

Biological meaning of DNA compositional biases evaluated by ratio of membrane proteins.

Ryusuke Sawada, S. Mitaku, 2012, Journal of biochemistry.

Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures

Yoshihiro Yamanishi, Ryusuke Sawada, Michio Iwata, 2018, Scientific Reports.

Biological meaning of “habitable zone” in nucleotide composition space

Ryusuke Sawada, S. Mitaku, 2018, Biophysics and physicobiology.

A trial of topiramate for patients with hereditary spinocerebellar ataxia

Ryusuke Sawada, T. Kamada, S. Miura, 2023, Clinical Case Reports.

Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner

Yoshihiro Yamanishi, Ryusuke Sawada, Yoshiyuki Hizukuri, 2015, BMC Medical Genomics.

DINIES: drug–target interaction network inference engine based on supervised analysis

Yoshihiro Yamanishi, Susumu Goto, Masaaki Kotera, 2014, Nucleic Acids Res..

SOSUImp1: high performance prediction system for single-spanning membrane proteins

Ryusuke Sawada, T. Tsuji, S. Mitaku, 2010 .

Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics

Yoshihiro Yamanishi, Masaaki Kotera, Ryusuke Sawada, 2017, Scientific Reports.

Target-Based Drug Repositioning Using Large-Scale Chemical-Protein Interactome Data

Yoshihiro Yamanishi, Hiroaki Iwata, Ryusuke Sawada, 2015, J. Chem. Inf. Model..

Comparative proteomics of the prokaryota using secretory proteins

Ryusuke Sawada, S. Mitaku, M. Gomi, 2005 .

Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner

Yoshihiro Yamanishi, Ryusuke Sawada, Yoshihiro Yamanishi, 2015, BMC Medical Genomics.

Systematic Drug Repositioning for a Wide Range of Diseases with Integrative Analyses of Phenotypic and Molecular Data

Yoshihiro Yamanishi, Hiroaki Iwata, Ryusuke Sawada, 2015, J. Chem. Inf. Model..

In silico systems for predicting chemical-induced side effects using known and potential chemical protein interactions, enabling mechanism estimation.

Yoshihiro Yamanishi, Hiroshi Honda, Osamu Morita, 2020, The Journal of toxicological sciences.

Network-based characterization of drug-protein interaction signatures with a space-efficient approach

Yasuo Tabei, Yoshihiro Yamanishi, Masaaki Kotera, 2019, BMC Systems Biology.

KampoDB, database of predicted targets and functional annotations of natural medicines

Yoshihiro Yamanishi, Ryusuke Sawada, Michio Iwata, 2018, Scientific Reports.

Development of FMODB and Auto -FMO protocol through 2022

Ryusuke Sawada, Michio Iwata, M. Sekijima, 2022 .

Vertebrate genomes code excess proteins with charge periodicity of 28 residues.

Ryusuke Sawada, R. Ke, S. Mitaku, 2008, Journal of biochemistry.

Design and Structural Optimization of Thiadiazole Derivatives with Potent GLS1 Inhibitory Activity.

Ryusuke Sawada, M. Mizuguchi, K. Koizumi, 2023, Bioorganic & Medicinal Chemistry Letters.

Pathway-Based Drug Repositioning for Cancers: Computational Prediction and Experimental Validation.

Yoshihiro Yamanishi, Ryusuke Sawada, Michio Iwata, 2018, Journal of medicinal chemistry.

Prediction of the Health Effects of Food Peptides and Elucidation of the Mode‐of‐action Using Multi‐task Graph Convolutional Neural Network

Yoshihiro Yamanishi, Kazuma Kaitoh, Itsuki Fukunaga, 2019, Molecular informatics.

A network-based trans-omics approach for predicting synergistic drug combinations

Ryusuke Sawada, Michio Iwata, J. Takeshita, 2024, Communications Medicine.

A class of chemical compounds enhances clustering of muscle nicotinic acetylcholine receptor in cultured myogenic cells.

Ryusuke Sawada, A. Masuda, Mikako Ito, 2024, Biochemical and biophysical research communications.

Large-Scale Prediction of Beneficial Drug Combinations Using Drug Efficacy and Target Profiles

Yoshihiro Yamanishi, Masaaki Kotera, Hiroaki Iwata, 2015, J. Chem. Inf. Model..