Ryusuke Sawada

发表

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

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

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

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

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

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

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

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

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..

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.

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

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

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.

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.