Predicting Drug–Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation
Author:
Affiliation:
1. Department of Chemistry, KAIST, Daejeon 34141, South Korea
2. Kakao Brain, Pangyo, Gyeonggi-do 13494, South Korea
3. Kakao, Pangyo, Gyeonggi-do 13494, South Korea
4. KI for Artificial Intelligence, KAIST, Daejeon 34141, South Korea
Funder
National Research Foundation of Korea
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.9b00387
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