[Artificial Intelligence-based Drug Discovery and Drug Repositioning].

Clicks: 305
ID: 42814
2019
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Abstract
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.
Reference Key
tanaka2019artificialbrain Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tanaka, Hiroshi;
Journal brain and nerve = shinkei kenkyu no shinpo
Year 2019
DOI
10.11477/mf.1416201390
URL
Keywords
electroencephalogram (eeg) acute hepatic encephalopathy (ahe) generalized periodic discharges liley model neural computational model particle filtering

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