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 pharmac...
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Published in | Briefings in bioinformatics Vol. 21; no. 3; pp. 919 - 935 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
21.05.2020
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
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