Tao Chen

Zhejiang Yuankang Pharmaceutical Technology Co., Ltd, zhuji, 311800, China
Author    Correspondence author
Computational Molecular Biology, 2024, Vol. 14, No. 1   doi: 10.5376/cmb.2024.14.0002
Received: 04 Dec., 2023    Accepted: 07 Jan., 2024    Published: 18 Jan., 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.

Chen T., 2024, Artificial intelligence and drug design: future prospects and ethical considerations, Computational Molecular Biology, 14(1): 9-19 (doi: 10.5376/cmb.2024.14.0002)

The rapid advancement of science and technology, artificial intelligence (AI) has penetrated into many fields and shown its great potential. In the field of drug design, the application of AI is gradually changing the traditional research and development model. This study first introduces the applicability of AI technology in drug design and its application examples at each stage, and analyzes its important role in improving R&D efficiency and success rate. Subsequently, the article looks forward to the future prospects of AI and drug design, including technological innovation, development trends, challenges and opportunities, and proposes corresponding development strategies. However, the widespread application of AI has also triggered many ethical considerations, such as data privacy, algorithm transparency, and definition of ethical responsibilities, which need to be treated with caution while promoting technological development. Finally, this study highlights how the relationship between innovation and ethics should be balanced in future research and makes corresponding recommendations.

Artificial intelligence; Drug design; R&D efficiency; Future prospects; Ethical considerations