• Sakshi Ghodke
• Vaishnavi M. Kalamkar
• Swapnali R. Musmade
• Snehal J. Mhase

A critical part of drug development is played by artificial intelligence (AI). In Drug Discovery and Development the application of AI has become important to accelerate progress and enhance decision making in many fields and disciplines of medicinal chemistry, upscaling, molecular and cell biology, pharmacology, pharmacokinetics, formulation development and toxicology. Al can help by analysing large amounts of data, such as genetic data, protein structures, and disease pathways, to identify new drug targets. This can significantly speed up the drug discovery process and increase the success rate of drug development. In a pharmaceutical industries make efforts to approach AI to enhance drug discovery process, reduce research and development expenses, diminish failure rates in clinical trials and ultimately generate superior medicines. we also highlight the limitations of contemporary artificial intelligence (Al) in each of the considered topics and predict how it could shape the future landscape of computer-assisted drug discovery.

Artificial Intelligence, Human Intelligence, Drug Discovery and development, Future Direction.

"Artificial Intelligence In Drug Discovery and Development ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.b431-b439, April-2024, Available :http://www.jetir.org/papers/JETIR2404149.pdf

"Artificial Intelligence In Drug Discovery and Development ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppb431-b439, April-2024, Available at : http://www.jetir.org/papers/JETIR2404149.pdf