Abstract
THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN REVOLUTIONIZING PHARMACEUTICAL DEVELOPMENT
Harini Uppada*, Ganapathiraju Sahil Varma and Duvvi Nikhila Reddy
ABSTRACT
Machine learning (ML) and artificial intelligence (AI) are revolutionizing in pharmaceutical development, research, and quality assurance. These methods such as advanced deep learning techniques excel compared to conventional methods in both precision and accuracy. AI and Ml techniques show high capabilities in identifying potential drug candidates by precisely forecasting protein-ligand interactions. These techniques enable researchers to assess and evaluate vast amount of information finding previously unknown relationships between existing medications, illness targets, and novel remedies. AI and ML have many advantages for example, repurposing existing medications takes existing safety data into consideration which helps in reducing development time and costs. AI can help in the search for successful therapeutics by detecting unanticipated relationships between pharmaceuticals and new targets. This review explores the role of AI and ML in enhancing computer-aided drug design, as well as the challenges and opportunities these technologies present for the pharmaceutical industry.
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