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 interactions (DTIs) by experiments alone. These approaches should be capable of identifying the potential DTIs in a timely manner. In this article, we...
Paper Details
Title
Machine learning approaches and databases for prediction of drug–target interaction: a survey paper
Published Date
Jan 17, 2020
Journal
Volume
22
Issue
1
Pages
247 - 269
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