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ISSN 2063-5346
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ROLE OF ARTIFICIAL INTELLIGENCE IN DRUG DESIGN AND DRUG DISCOVERY

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Mohd. Azhar, Paramjeet Kaur, Manveen Bhardwaj, Rajiv Sharma , Navpreet Kaur , Sandeep Kaur, Vanshika
» doi: 10.48047/ecb/2023.12.si4.507

Abstract

Artificial intelligence and machine learning are now advancing significantly. It has considerably raised quality of life while reducing human workload. In order to expedite and advance drug development, this article illustrates how artificial intelligence and machine learning are applied. Due to an ability to run simulations using these technologies, this body of work support the roles of machine learning and artificial intelligence in facilitating drug development and discovery processes, making them more affordable or possibly eliminating the need for clinical trials. They also made it possible for broad, trial-free research on various compounds. The results of this study demonstrate the widespread application of machine learning and artificial intelligence techniques in the drug discovery process and suggest a promising future for these technologies. The pharmaceutical industry, researchers, and students should be able to learn more about machine learning and artificial intelligence in the context of researching and developing new drugs due to these findings.

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