DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning

DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning

Abstract Drug–target interaction (DTI) prediction is a crucial step in drug discovery and repositioning as it reduces experimental validation costs if done right. Thus, developing in-silico methods to predict potential DTI has become a competitive research niche, with one of its main focuses being i...

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Bibliographic Details
Main Authors: Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Journal of Cheminformatics
Subjects:
Drug repositioning
Drug–target interaction
Heterogeneous network
Network embedding
Random walk
Link prediction
Online Access:https://doi.org/10.1186/s13321-021-00552-w

Internet

https://doi.org/10.1186/s13321-021-00552-w

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