Deep-Learning-Based Drug-Target Interaction Prediction

Identifying interactions between known drugs and targets is a major challenge in drug repositioning. In silico prediction of drug-target interaction (DTI) can speed up the expensive and time-consuming experimental work by providing the most potent DTIs. In silico prediction of DTI can also provide i...

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Veröffentlicht in:	Journal of proteome research Jg. 16; H. 4; S. 1401 - 1409
Hauptverfasser:	Wen, Ming, Zhang, Zhimin, Niu, Shaoyu, Sha, Haozhi, Yang, Ruihan, Yun, Yonghuan, Lu, Hongmei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 07.04.2017
Schlagworte:	Algorithms Amino Acid Sequence - genetics Computer Simulation Databases, Pharmaceutical Drug Discovery Drug Interactions - genetics Humans Models, Theoretical Molecular Targeted Therapy Proteins - chemistry Proteins - genetics drug−target interaction prediction deep learning semisupervised learning deep-delief network feature extraction
ISSN:	1535-3907
Online-Zugang:	Weitere Angaben
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