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Published on:September 2022
Indian Journal of Pharmaceutical Education and Research, 2022; 56(3s):s387-s397
Review Article | doi:10.5530/ijper.56.3s.146

Impact of Artificial Intelligence (AI) on Drug Discovery and Product Development


Authors and affiliation (s):

Ravi Ram Narayanan, Narayanamoorthy Durga, Sethuraman Nagalakshmi*

Department of Pharmaceutics, Sri Ramachandra Faculty of Pharmacy, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, Tamil Nadu, INDIA.

Abstract:

Artificial Intelligence (AI) had transfigured different sectors in society, where the pharmaceutical sector is not an exceptional case. Pharmaceutical sectors have reached new heights with the emergence of these sophisticated technologies. The evolution of artificial intelligence in the pharmaceutical industry is in a growth phase opening the possibilities of discovering many new drugs. The diseases affecting humans are increasing tremendously whereas the drugs which are available to treat or cure are very much minimal. But this kind of scenario will not be present in the future because of the combination of artificial intelligence and the pharmaceutical industry which results in faster discovery of drugs with increased clinical outcomes. There was a shift in the paradigm of various stages in drug discovery because of the utilization of artificial intelligence. Each stage of drug discovery involves a certain timeline that can be cut down with the help of artificial intelligence. Many pharma companies are engaged with AI-based drug discovery approaches for treating various diseases like Parkinson’s disease diabetes, Alzheimer’s, Obsessive Compulsive Disorder, etc., AI is also being employed in product development for the fabrication of nanomedicines and nanorobots. Few AI-based drugs are already in the phase of clinical trials which indicates the growth of AI-driven drug discovery. In this review, we have highlighted the application of AI in drug discovery and product development of pharmaceuticals.

Keywords: Drug discovery, Drug delivery, Machine learning, Era of machines, Algorithm.

 




 

Impact Factor

IJPER - An Official Publication of Association of Pharmaceutical Teachers of India is pleased to announce continued growth in the Latest Release of Journal Citation Reports (source: Web of Science Data).

 

Impact Factor® as reported in the 2021 Journal Citation Reports® (Clarivate Analytics, 2022): 0.843

The Official Journal of Association of Pharmaceutical Teachers of India (APTI)
(Registered under Registration of Societies Act XXI of 1860 No. 122 of 1966-1967, Lucknow)

Indian Journal of Pharmaceutical Education and Research (IJPER) [ISSN-0019-5464] is the official journal of Association of Pharmaceutical Teachers of India (APTI) and is being published since 1967.

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