Wei Wang

Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, China
Author    Correspondence author
Computational Molecular Biology, 2024, Vol. 14, No. 1   doi: 10.5376/cmb.2024.14.0003
Received: 03 Dec., 2023    Accepted: 08 Jan., 2024    Published: 20 Feb., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Wang W., 2024, The application of artificial intelligence in drug discovery: opportunities and challenges, Computational Molecular Biology, 14(1): 20-27 (doi: 10.5376/cmb.2024.14.0003)

With the rapid development of technology, the application of artificial intelligence (AI) in the field of drug discovery is becoming increasingly widespread, bringing unprecedented opportunities and challenges to drug research and development. This study summarizes the main applications of AI in drug discovery, including molecular design and drug screening, optimization of drug development processes, as well as clinical trial design and data analysis. It also explores the opportunities of AI in drug discovery, including accelerating the process of drug discovery and research and development, improving the accuracy and effectiveness of drugs, and reducing research and development costs and risks. These opportunities make AI an important force in promoting the progress of drug research and development. However, AI also faces some challenges in drug discovery, requiring us to fully utilize AI technology while also paying attention to its potential risks and challenges to ensure its healthy development in drug discovery. Artificial intelligence has demonstrated tremendous potential and value in drug discovery, bringing unprecedented opportunities to drug research and development. However, we should also maintain a rational and cautious attitude, conducting thorough research and addressing the challenges faced by AI in drug discovery to ensure that it can better contribute to human health.

Artificial intelligence (AI); Drug screening; Opportunities and challenges