Boosting compound-protein interaction prediction by deep learning

The identification of interactions between compounds and proteins plays an important role in network pharmacology and drug discovery. However, experimentally identifying compound-protein interactions (CPIs) is generally expensive and time-consuming, computational approaches are thus introduced. Amon...

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Veröffentlicht in:	Methods (San Diego, Calif.) Calif.), 2016-11, Vol.110, p.64-72
Hauptverfasser:	Tian, Kai, Shao, Mingyu, Wang, Yang, Guan, Jihong, Zhou, Shuigeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Databases, Chemical Databases, Protein Drug Compounding Drug Discovery - methods Humans Machine Learning Neural Networks (Computer) Pharmaceutical Preparations - chemistry Protein Domains - drug effects Protein Interaction Mapping - methods Proteins - chemistry
Online-Zugang:	Volltext
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