Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

Abstract The task of predicting the interactions between drugs and targets plays a key role in the process of drug discovery. There is a need to develop novel and efficient prediction approaches in order to avoid costly and laborious yet not-always-deterministic experiments to determine drug–target...

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Veröffentlicht in:	Briefings in bioinformatics 2021-01, Vol.22 (1), p.247-269
Hauptverfasser:	Bagherian, Maryam, Sabeti, Elyas, Wang, Kai, Sartor, Maureen A, Nikolovska-Coleska, Zaneta, Najarian, Kayvan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational Biology - methods Databases, Factual Drug Discovery - methods Humans Learning algorithms Machine Learning Predictions Review Therapeutic targets
Online-Zugang:	Volltext
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