Survey of Machine Learning Techniques in Drug Discovery

2018230 citationsReview

Authors

Natalie Stephenson · Pacific Lutheran University

Emily Shane · Pacific Lutheran University

Jessica Chase · Pacific Lutheran University

Jason Rowland · Pacific Lutheran University

David Ries · Pacific Lutheran University

Nicola Justice · Pacific Lutheran University

Jie Zhang ·

Abstract

The main focus of this survey is to understand the current status of machine learning techniques in the drug discovery field within both academic and industrial settings, and discuss its potential future applications. Several interesting patterns for machine learning techniques in drug discovery fields are discussed in this survey.

Topics & Keywords

Computational Drug Discovery Methods Genetics, Bioinformatics, and Biomedical Research Machine Learning in Bioinformatics

Publication Details

Published in: Current Drug Metabolism

Volume 20, Issue 3, pp. 185-193

DOI: 10.2174/1389200219666180820112457

Field-Weighted Citation Impact: 24.83

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Survey of Machine Learning Techniques in Drug Discovery

Authors

Abstract

Topics & Keywords

Publication Details