| Abstrakt: |
A study from Gautam Buddha University in Greater Noida, India, discusses the advancements in artificial intelligence (AI)-assisted approaches in drug screening. The research highlights how AI is revolutionizing the drug design and development process by improving efficiency, reducing time and cost, and utilizing high-performance algorithms. AI applications in drug discovery, such as screening strategies and lead optimization techniques, are explored, including quantitative structure-activity relationship modeling, pharmacophore modeling, de novo drug designing, and high-throughput virtual screening. The study concludes by emphasizing the role of AI-based tools in simplifying the complexities associated with drug discovery. [Extracted from the article] |
