BRAIN and NERVE Shinkei Kenkyu no Shinpo Volume 71, Issue 9 (September 2019)

Artificial Intelligence-based Drug Discovery and Drug Repositioning Hiroshi Tanaka 1,2 1Laboratory for Promotion of Medical Data Sciences, Tokyo Medical and Dental University 2Tohoku University Tohoku Medical Megabank Organization Keyword: 人工知能創薬 , ドラッグ・リポジショニング , 生体分子プロファイル , ディープラーニング , AI-based drug discovery , drug repositioning , biomolecular profile , deep learning pp.981-989
Published Date 2019/9/1
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The methodologies of computational drug discovery and drug repositioning (DR) based on biomolecular profile information are reviewed systematically. For big data drug discovery and DR, 1) methods of comparing gene expression profiles of the diseased state and drug-administered state to predict the effect and toxicity of the drug, 2) DR methods based on the disease network, and 3) prediction of drug effect based on the biological network analysis are described. For methods of AI-based drug discovery, virtual screening using AI and AI-based drug target exploration are reviewed.

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BRAIN and NERVE-神経研究の進歩
71巻9号 (2019年9月)
電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院