Application of Machine Learning on Drug Target Discovery.

Drug target discovery is a critical step in drug development. It is the basis of modern drug development to deter-mine the target molecules related to specific diseases in advance. Predicting the drug target by computational methods saves a lot of financial and material resources than in vitro experiments, thereby a number of computational methods are designed for drug target discovery. Recently, machine learning (ML) methods have developed rapidly in biomedicine. In this paper, we present an overview of drug target discovery methods based on machine learning. Due to some machine learning meth-ods integratenetwork analysis to predict drug targets, network-based methods are also introduced in this article. Finally, the challenges and future outlook of drug target discovery are discussed. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.