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

Sawada, Ryusuke; Iwata, Michio; Tabei, Yasuo; Yamato, Haruka; Yamanishi, Yoshihiro

Sawada, Ryusuke; Iwata, Michio; Tabei, Yasuo; Yamato, Haruka; Yamanishi, Yoshihiro.

Affiliation

Sawada R; Division of System Cohort, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Fukuoka, 812-8582, Japan.
Iwata M; Division of System Cohort, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Fukuoka, 812-8582, Japan.
Tabei Y; RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan.
Yamato H; Division of System Cohort, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Fukuoka, 812-8582, Japan.
Yamanishi Y; Division of System Cohort, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Fukuoka, 812-8582, Japan. yamanishi@bioreg.kyushu-u.ac.jp.

Sci Rep ; 8(1): 156, 2018 01 09.

Article in En | MEDLINE | ID: mdl-29317676

Subject(s)

Computational Biology/methods; Drug Design; Drug Discovery; Gene Expression Profiling; Gene Expression Regulation/drug effects; Transcriptome; Dose-Response Relationship, Drug; Drug Discovery/methods; Gene Regulatory Networks; Humans; Reproducibility of Results; Signal Transduction/drug effects

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Design / Gene Expression Regulation / Computational Biology / Gene Expression Profiling / Drug Discovery / Transcriptome Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2018 Document type: Article Affiliation country: Japan

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