Survey of Machine Learning Techniques in Drug Discovery.

Survey of Machine Learning Techniques in Drug Discovery.
Curr Drug Metab. 2018 Aug 19;:
Authors: Stephenson N, Shane E, Chase J, Rowland J, Ries D, Justice N, Zhang J, Chan L, Cao R
Abstract
Drug discovery, which is the process of discovering new candidate medications, is very important for pharmaceutical industries. At its current stage, discovering new drugs is still an expensive and time-consuming process, requiring Phases I, II and III for clinical trials. Recently, machine learning techniques in Artificial Intelligence (AI), especially the deep learning techniques which allow a computational model to generate multiple layers, have been widely applied and achieved state-of-the-art performance in various fields, such as speech recognition, image classification, bioinformatics, etc. One potential application of these AI techniques is in the field of drug discovery. 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.
PMID: 30124147 [PubMed - as supplied by publisher]

Source: Current Drug Metabolism - August 19, 2018 Category: Drugs & Pharmacology Authors: Stephenson N, Shane E, Chase J, Rowland J, Ries D, Justice N, Zhang J, Chan L, Cao R Tags: Curr Drug Metab Source Type: research