Graph convolutional networks for computational drug development and discovery.
Abstract
Despite the fact that deep learning has achieved remarkable success in various domains over the past decade, its application in molecular informatics and drug discovery is still limited. Recent advances in adapting deep architectures to structured data have opened a new paradigm for pharmaceutical research. In this survey, we provide a systematic review on the emerging field of graph convolutional networks and their applications in drug...
Paper Details
Title
Graph convolutional networks for computational drug development and discovery.
Published Date
May 21, 2020
Journal
Volume
21
Issue
3
Pages
919 - 935
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