Yang Xi-Ru, Sun De-Zhi, Shen Pan, Huang Cong-Shu, Li Yong-Fang, Gao Yue, Zhou Wei
Department of Pharmacy, Medical College of Qinghai University Xining 810001,China Institute of Radiation Medicine, Academy of Military Medical Sciences, Academy of Military Sciences Beijing 100850, China.
Institute of Radiation Medicine, Academy of Military Medical Sciences, Academy of Military Sciences Beijing 100850, China.
Zhongguo Zhong Yao Za Zhi. 2024 Jun;49(12):3125-3131. doi: 10.19540/j.cnki.cjcmm.20240222.601.
Traditional Chinese medicine with rich resources in China and definite therapeutic effects on complex diseases demonstrates great development potential. However, the complex composition, the unclear pharmacodynamic substances and mechanisms of action, and the lack of reasonable methods for evaluating clinical safety and efficacy have limited the research and development of innovative drugs based on traditional Chinese medicine. The progress in cutting-edge disciplines such as artificial intelligence and biomimetics, especially the emergence of cell painting and organ-on-a-chip, helps to identify and characterize the active ingredients in traditional Chinese medicine based on the changes in model characteristics, thus providing more accurate guidance for the development and application of traditional Chinese medicine. The application of phenotypic drug discovery in the research and development of innovative drugs based on traditional Chinese medicine is gaining increasing attention. In recent years, the technology for phenotypic drug discovery keeps advancing, which improves the early discovery rate of new drugs and the success rate of drug research and development. Accordingly, phenotypic drug discovery gradually becomes a key tool for the research on new drugs. This paper discusses the enormous potential of traditional Chinese medicine in the discovery and development of innovative drugs and illustrates how the application of phenotypic drug discovery, supported by cutting-edge technologies such as cell painting, deep learning, and organ-on-a-chip, propels traditional Chinese medicine into a new stage of development.
中国的中医药资源丰富,对复杂疾病具有确切疗效,展现出巨大的发展潜力。然而,其成分复杂、药效物质及作用机制尚不明确,且缺乏合理的临床安全性和有效性评价方法,限制了基于中医药的创新药物研发。人工智能和仿生学等前沿学科的进展,尤其是细胞绘画和芯片器官的出现,有助于根据模型特征变化来识别和表征中药中的活性成分,从而为中药的开发和应用提供更准确的指导。表型药物发现法在基于中医药的创新药物研发中的应用日益受到关注。近年来,表型药物发现技术不断进步,提高了新药的早期发现率和药物研发成功率。相应地,表型药物发现逐渐成为新药研究的关键工具。本文探讨了中医药在创新药物发现和开发方面的巨大潜力,并阐述了表型药物发现法在细胞绘画、深度学习和芯片器官等前沿技术支持下的应用如何推动中医药进入新的发展阶段。
Zhongguo Zhong Yao Za Zhi. 2024-6
Zhongguo Zhong Yao Za Zhi. 2015-9
Biochem Pharmacol. 2017-6-19
Zhongguo Zhong Yao Za Zhi. 2023-9
Zhongguo Zhong Yao Za Zhi. 2017-11