Yang Jai-Sing, Tsai Shih-Chang, Hsu Yuan-Man, Bau Da-Tian, Tsai Chia-Wen, Chang Wen-Shin, Kuo Sheng-Chu, Yu Chien-Chih, Chiu Yu-Jen, Tsai Fuu-Jen
Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Department of Biological Science and Technology, China Medical University, Taichung, Taiwan.
Biomedicine (Taipei). 2024 Dec 1;14(4):1-14. doi: 10.37796/2211-8039.1475. eCollection 2024.
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 6000 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.
中国医药大学附设医院天然产物研究实验室(NPRL)是与中国医药大学附设医院以及北卡罗来纳大学教堂山分校的李国雄教授合作成立的。该实验室馆藏了全球6000多种天然产物,包括纯化合物和半合成衍生物。这是台湾地区最全面且完全投入使用的天然产物数据库。这篇综述文章探讨了中国医药大学附设医院天然产物研究实验室的历史与发展。接着,我们概述了人工智能(AI)在新药研发中的近期应用及影响。最后,我们研究了先进且强大的人工智能工具和相关软件,以解释如何在大规模药物数据库研究中利用这些资源。本文展示了一个将人工智能与中国医药大学附设医院天然产物研究实验室相结合的药物研发(R&D)平台。我们相信这种方法将减少资源浪费,并提升台湾学术和产业部门在生物技术与制药领域的研究能力。