Integrating Natural Product Research Laboratory with artificial intelligence: advancements and breakthroughs in traditional medicine

Authors

Jai-Sing Yang, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Shih-Chang Tsai, Department of Biological Science and Technology, China Medical University, Taichung, Taiwan
Yuan-Man Hsu, Department of Biological Science and Technology, China Medical University, Taichung, Taiwan
Da-Tian Bau, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Chia-Wen Tsai, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Wen-Shin Chang, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Sheng-Chu Kuo, Drug Development Center, China Medical University, Taichung, Taiwan
Sheng-Chu Kuo, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Chien-Chih Yu, School of Pharmacy, College of Pharmacy, China Medical University, Taichung, Taiwan
Yu-Jen Chiu, Division of Plastic and Reconstructive Surgery, Department of Surgery, Taipei , Veterans General Hospital, Taipei, Taiwan
Fuu-Jen Tsai, Million-Person Precision Medicine Initiative, Department of Medical Research, China Medical University Hospital, Taichung, TaiwanFollow

Abstract

The Natural Product Research Laboratory (NPRL) of China Medical University Hospital (CMUH) was established in collaboration with CMUH and Professor Kuo-Hsiung Lee from the University of North Carolina at Chapel Hill. The laboratory collection features over 6,000 natural products worldwide, including pure compounds and semi-synthetic derivatives. This is the most comprehensive and fully operational natural product database in Taiwan. This review article explores the history and development of the NPRL of CMUH. We then provide an overview of the recent applications and impact of artificial intelligence (AI) in new drug discovery. Finally, we examine advanced powerful AI-tools and related software to explain how these resources can be utilized in research on large-scale drug data libraries. This article presents a drug research and development (R&D) platform that combines AI with the NPRL. We believe that this approach will reduce resource wastage and enhance the research capabilities of Taiwan's academic and industrial sectors in biotechnology and pharmaceuticals.

Recommended Citation

Yang, Jai-Sing; Tsai, Shih-Chang; Hsu, Yuan-Man; Bau, Da-Tian; Tsai, Chia-Wen; Chang, Wen-Shin; Kuo, Sheng-Chu; Kuo, Sheng-Chu; Yu, Chien-Chih; Chiu, Yu-Jen; and Tsai, Fuu-Jen (2024) "Integrating Natural Product Research Laboratory with artificial intelligence: advancements and breakthroughs in traditional medicine," BioMedicine: Vol. 14 : Iss. 4 , Article 1.
DOI: 10.37796/2211-8039.1475

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.