天然产物研究实验室与人工智能的融合:传统医学的进步与突破。

IF 2.1 Q2 MEDICINE, GENERAL & INTERNAL
BioMedicine-Taiwan Pub Date : 2024-12-01 eCollection Date: 2024-01-01 DOI:10.37796/2211-8039.1475
Jai-Sing Yang, Shih-Chang Tsai, Yuan-Man Hsu, Da-Tian Bau, Chia-Wen Tsai, Wen-Shin Chang, Sheng-Chu Kuo, Chien-Chih Yu, Yu-Jen Chiu, Fuu-Jen Tsai
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引用次数: 0

摘要

中国医科大学附属医院天然产物研究实验室(NPRL)由中国医科大学附属医院与美国北卡罗来纳大学教堂山分校李国雄教授联合成立。实验室收集了全球6000多种天然产品,包括纯化合物和半合成衍生物。这是台湾最全面、最完整的天然产品资料库。本文综述了CMUH NPRL的历史和发展。然后,我们概述了人工智能(AI)在新药发现中的最新应用和影响。最后,我们研究了先进的强大的人工智能工具和相关软件,以解释如何将这些资源用于大规模药物数据库的研究。本文介绍了一种将人工智能与NPRL相结合的药物研发平台。我们相信,这种做法将减少资源浪费,并提高台湾在生物技术和制药方面的学术和工业部门的研究能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating natural product research laboratory with artificial intelligence: Advancements and breakthroughs in traditional medicine.

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.

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来源期刊
BioMedicine-Taiwan
BioMedicine-Taiwan MEDICINE, GENERAL & INTERNAL-
CiteScore
2.80
自引率
5.90%
发文量
21
审稿时长
24 weeks
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