DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques
Abstract In silico prediction of drug–target interactions is a critical phase in the sustainable drug development process, especially when the research focus is to capitalize on the repositioning of existing drugs. However, developing such computational methods is not an easy task, but is much neede...
Main Authors: | Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajic, Xin Gao, Takashi Gojobori, Magbubah Essack |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-06-01
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Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13321-020-00447-2 |
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