TY - GEN
T1 - A Review of Deep Learning in Computer-Aided Drug Design
AU - Chang, Chih Hung
AU - Hung, Che Lun
AU - Tang, Chuan Yi
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Compound Searching
KW - Computer-Aided Drug Design
KW - Deep Learning
UR - http://www.scopus.com/inward/record.url?scp=85084340100&partnerID=8YFLogxK
U2 - 10.1109/BIBM47256.2019.8982968
DO - 10.1109/BIBM47256.2019.8982968
M3 - Conference contribution
AN - SCOPUS:85084340100
T3 - Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
SP - 1856
EP - 1861
BT - Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
A2 - Yoo, Illhoi
A2 - Bi, Jinbo
A2 - Hu, Xiaohua Tony
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
Y2 - 18 November 2019 through 21 November 2019
ER -
