A Review of Deep Learning in Computer-Aided Drug Design

Chih Hung Chang, Che Lun Hung, Chuan Yi Tang

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Recently, Deep Learning has been applied to many medical domains, such as medical image analysis, bioinformatic, biochemistry, drug design, and so forth, to improve the performance that is superior to traditional computational approaches; especially in computer-aided drug design. Many AI-driven drug discovery startups have utilized deep learning methodology to achieve the significant improvement of searching candidate compounds, predicting functions, and so forth. Therefore, using AI to facilitate drug design is the trend in the coming future. In this study, a comprehensive review of the current state-of-the-art in Computer-Aided Drug Design using deep learning methods is presented. Meanwhile, the challenges and potential of these methods are also highlighted.

原文English
主出版物標題Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
編輯Illhoi Yoo, Jinbo Bi, Xiaohua Tony Hu
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1856-1861
頁數6
ISBN(電子)9781728118673
DOIs
出版狀態Published - 11月 2019
事件2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 - San Diego, United States
持續時間: 18 11月 201921 11月 2019

出版系列

名字Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

Conference

Conference2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
國家/地區United States
城市San Diego
期間18/11/1921/11/19

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