Title:Application of Artificial Intelligence in Drug Repurposing: A mini-review
Volume: 1
Issue: 3
Author(s): Gurudeeban Selvaraj*, Satyavani Kaliamurthi , Gilles H. Peslherbe*Dong-Qing Wei*
Affiliation:
- Centre for Research in Molecular Modeling, Department of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke Street W., Montreal, H3G 1M8, Quebec,Canada
- Centre for Research in Molecular Modeling, Department of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke Street W., Montreal, H3G 1M8, Quebec,Canada
- Centre of Interdisciplinary Science-Computational Life Sciences, College of Chemistry and Chemical Engineering, Henan University of Technology, No.: 100 Lianhua Road, Zhengzhou 450001, Henan,China
Keywords:
Artificial intelligence; convolutional neural networks; deep learning; DrugBank; drug repurposing; machine learning;recurrent neural networks.
Abstract: Background and Aim: This study aims at the advancement of extra-ordinary biomedical
data (genomics, proteomics, metabolomics, drug libraries, and patient care data), evolution of supercomputers,
and continuous development of new algorithms that lead to a generous revolution in artificial
intelligence (AI). Currently, many biotech and pharmaceutical companies made reasonable
investments in and have co-operation with AI companies increasing the chance of better healthcare
tools development, includes biomarker and drug target identification, designing a new class of drugs
and drug repurposing. Thus, the study is intended to project the pros and cons of AI in the application
of drug repositioning.
Methods: Using the search term “AI” and “drug repurposing” the relevant literature retrieved and
reviewed from different sources includes PubMed, Google Scholar, and Scopus.
Results: Drug discovery is a lengthy process; however, leveraging the AI approaches in drug repurposing
via quick virtual screening may enhance and speed-up the identification of potential drug
candidates against communicable and non-communicable diseases. Therefore, in this mini-review,
we have discussed different algorithms, tools and techniques, advantages, limitations on predicting
the target in repurposing a drug.
Conclusions: AI technology in drug repurposing with the association of pharmacology can efficiently
identify drug candidates against pandemic diseases.