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基于人工智能的药物发现与药物重新定位

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

作者信息

Tanaka Hiroshi

机构信息

Laboratory for Promotion of Medical Data Sciences, Tokyo Medical and Dental University.

出版信息

Brain Nerve. 2019 Sep;71(9):981-989. doi: 10.11477/mf.1416201390.

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.

摘要

系统综述了基于生物分子特征信息的计算药物发现和药物重新定位(DR)方法。对于大数据药物发现和DR,描述了1)比较疾病状态和药物给药状态的基因表达谱以预测药物效果和毒性的方法,2)基于疾病网络的DR方法,以及3)基于生物网络分析的药物效果预测。对于基于人工智能的药物发现方法,综述了使用人工智能的虚拟筛选和基于人工智能的药物靶点探索。

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