Machine Learning and Artificial Intelligence in Drug Discovery and Development

Machine Learning and Artificial  Intelligence in Drug Discovery and Development

 Jagtap Vishal*1, Prof. Randhawan B.B2, Mhetre Vidya3, Bachkar Nikhil4, Ugale Punam5,

Kolate Shubhangi6

Students1,3, 4,5,6 Assi. Professor2

Arihant College of Pharmacy, Kedgaon, Ahmednagar – 414005.

Abstract:

Machine learning (ML) and artificial intelligence (AI) have revolutionized the field of drug discovery and development by expediting the identification of potential drug candidates and optimizing various stages of the drug development process. This abstract explores the application of ML and AI techniques in target identification, lead optimization, drug repurposing, pharmacokinetics, and toxicity prediction. Additionally, it discusses the integration of big data analytics, high-throughput screening, and computational modeling in accelerating drug discovery timelines and reducing costs. Furthermore, challenges such as data quality, interpretability, and regulatory compliance are addressed, along with prospects for the continued advancement of ML and AI in pharmaceutical research and development.

Keywords: Machine Learning and Artificial Intelligence in Drug Discovery and Development.