Novel computational methods to predict drug–target interactions using graph mining and machine learning approaches

Novel computational methods to predict drug–target interactions using graph mining and machine learning approaches

Computational drug repurposing aims at finding new medical uses for existing drugs. The identification of novel drug-target interactions (DTIs) can be a useful part of such a task. Computational determination of DTIs is a convenient strategy for systematic screening of a large number of drugs in t...

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Bibliographic Details
Main Author: Olayan, Rawan S.
Other Authors: Bajic, Vladimir B.
Language:en
Published: 2017
Subjects:
drug–target interaction prediction
link prediction
Bioinformatics
chemoinformatics
Machine Learning
graph mining
Online Access:http://hdl.handle.net/10754/626424

Internet

http://hdl.handle.net/10754/626424

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