Deep learning has recently received massive attention on many areas of science and technology such as computer games, speech recognition, computer vision, natural language processing, self-driving cars, among others. Conventional Methods of drug discovery is time consuming and costlier. Drug repurposing is considered to be a promising method to identify the new drug target interactions for the existing drugs. To reduce the development costs and time, various approaches have suggested for repurposing of drug. In this paper, we are going to discuss about several machine and deep learning approaches used for drug repurposing.
Paper
Full text
Impact of Machine and Deep Learning in Drug Repurposing
Semantic Scholar · Computer Science · 2022
Abstract
Deep learning has recently received massive attention on many areas of science and technology such as computer games, speech recognition, computer vision, natural language processing, self-driving cars, among others. Conventional Methods of drug discovery is time consuming and costlier. Drug repurposing is considered to be a promising method to identify the new drug target interactions for the existing drugs. To reduce the development costs and time, various approaches have suggested for repurposing of drug. In this paper, we are going to discuss about several machine and deep learning approaches used for drug repurposing.