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Research progress of artificial intelligence technology in pharmacology of traditional Chinese medicine
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Nan ZHANG1, 2, Xiao-yun WANG2, Bo HAN1, *, Gu HE2, *
Acta Pharmaceutica Sinica | 2025, 60(3) : 550 - 558
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Acta Pharmaceutica Sinica | 2025, 60(3): 550-558
Special Reports: Multi-disciplinary exploration in the current situation and future direction of the modernization of Traditional Chinese Medicine
Research progress of artificial intelligence technology in pharmacology of traditional Chinese medicine
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Nan ZHANG1, 2, Xiao-yun WANG2, Bo HAN1, *, Gu HE2, *
Affiliations
  • 1. School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
  • 2. West China Hospital, Sichuan University, Chengdu 610041, China
Published: 2025-03-12 doi: 10.16438/j.0513-4870.2024-1078
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Artificial intelligence (AI) technology is increasingly applied across various fields, particularly in handling and analyzing large volumes of data, providing breakthroughs for numerous scientific studies. In Chinese medicine research, AI demonstrates significant advantages by enhancing the systematic, efficient, and accurate nature of studies through its exceptional learning and data processing capabilities. As a discipline with a long-standing history and rich theoretical framework, Chinese medicine research requires the integration of complex information, for which AI provides crucial support. AI technologies, especially machine learning and deep learning, can decipher complex biological and chemical data, advancing new discoveries in Chinese medicine pharmacology. Researchers can systematically analyze the multi-target mechanisms of Chinese medicine components and optimize formulation efficacy through these technologies. The combination of AI with multi-omics data and its application in cell phenotype analysis aids in accurately identifying drug targets and exploring new mechanisms. Additionally, AI-integrated network pharmacology combines experimental, computational, and clinical data to analyze multi-target drug mechanisms, enhancing the efficacy of TCM formule. AI accelerates the target identification of active compounds as well as dissecting the pharmacological effects. The development of large language models also plays a crucial role in constructing Chinese medicine knowledge graphs and literature analysis, extracting valuable information from extensive literature using natural language processing to build a systematic knowledge structure. The introduction of AI technology has propelled the modernization of Chinese medicine research and has a pivotal role in the development of internationalization and precision medicine. AI not only enhances the overall level of Chinese medicine research but also provides a solid foundation for interdisciplinary collaboration and innovation. With the continuous advancement of AI technology, Chinese medicine is anticipated to have a greater influence and role globally. This process is not only a significant marker of the modernization of Chinese medicine but also a reflection of the integration of science and traditional wisdom, which will undoubtedly drive progress and development in the entire medical field.

artificial intelligence  /  Chinese medicine  /  machine learning  /  deep learning  /  large language model
Nan ZHANG, Xiao-yun WANG, Bo HAN, Gu HE. Research progress of artificial intelligence technology in pharmacology of traditional Chinese medicine[J]. Acta Pharmaceutica Sinica, 2025 , 60 (3) : 550 -558 . DOI: 10.16438/j.0513-4870.2024-1078
Year 2025 volume 60 Issue 3
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doi: 10.16438/j.0513-4870.2024-1078
  • Receive Date:2024-10-31
  • Online Date:2025-11-06
  • Published:2025-03-12
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  • Received:2024-10-31
  • Revised:2025-01-27
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    1. School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
    2. West China Hospital, Sichuan University, Chengdu 610041, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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