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Applications of Machine Learning in Drug Target Discovery

Author(s):

Dongrui Gao, Qingyuan Chen, Yuanqi Zeng, Meng Jiang and Yongqing Zhang*   Pages 1 - 14 ( 14 )

Abstract:


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.

Keywords:

drug target discovery, drug target interaction, machine learning, network-based methods

Affiliation:

School of Computer Science, Chengdu University of Information Technology, Chengdu,610225, School of Computer Science, Chengdu University of Information Technology, Chengdu,610225, School of Computer Science, Chengdu University of Information Technology, Chengdu,610225, School of Mechanical Automotive Engineering, Nanyang Institute of Technology, Nanyang, 473000, School of Computer Science, Chengdu University of Information Technology, Chengdu,610225



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