• Mukta Gavli

Artificial intelligence (AI) is transforming the field of drug discovery and pharmaceutical research. Machine learning, deep learning, and data mining techniques are being utilized to analyze vast amounts of biological and chemical data, accelerating the identification of potential therapeutic compounds. AI enables virtual screening, prediction of drugtarget interactions, optimization of drug formulations, and improved drug delivery mechanisms. Despite challenges, AI-driven approaches have the potential to revolutionize drug development and enhance patient care. Collaborations and robust frameworks are crucial for realizing the full potential of AI in pharmaceutical research.

1. Artificial intelligence (AI) 2. Drug discovery 3. Pharmaceutical research 4. Drug-target interactions 5. Virtual screening 6. Machine learning 7. Deep learning 8. Predictive model

"Artificial Intelligence (AI) For Drug Discovery & Pharmaceutical Research", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.e276-e287, July-2023, Available :http://www.jetir.org/papers/JETIR2307429.pdf

"Artificial Intelligence (AI) For Drug Discovery & Pharmaceutical Research", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppe276-e287, July-2023, Available at : http://www.jetir.org/papers/JETIR2307429.pdf