人工智能技术在中药药理学中的研究进展  

Research progress of artificial intelligence technology in pharmacology of traditional Chinese medicine

作　　者：张楠 王晓云[2] 韩波 何谷[2] ZHANG Nan;WANG Xiao-yun;HAN Bo;HE Gu(School of Pharmacy,Chengdu University of Traditional Chinese Medicine,Chengdu 611137,China;West China Hospital,Sichuan University,Chengdu 610041,China)

机构地区：[1]成都中医药大学药学院,四川成都611137 [2]四川大学华西医院,四川成都610041

出　　处：《药学学报》2025年第3期550-558,共9页Acta Pharmaceutica Sinica

基　　金：国家自然科学基金资助项目(82104373);四川省自然科学基金(2024NSFSC1842);成都中医药大学杏林学者学科人才科研提升计划(QJRC2023020)。

摘　　要：人工智能(artificial intelligence,AI)技术在各领域的应用日益广泛,特别是在处理和解析海量数据方面,其强大的能力为许多科学研究带来了突破。在中医药研究中,AI通过其卓越的学习和数据处理能力,在提升研究的系统性、高效性和准确性方面展现出显著优势。中医药作为具有悠久历史和丰富理论体系的学科,其研究过程中需要整合大量复杂的信息,而AI的引入则为此提供了重要支持。AI技术尤其是机器学习(machine learning,ML)和深度学习(deep learning,DL)技术,可以解析复杂的生物和化学数据,推动中药药理学的新发现。通过这些技术,研究者能够系统分析中药成分的多靶点机制,并优化配方疗效。AI与多组学数据结合,以及在细胞表型分析中的应用,有助于精准识别药物靶点并探索新机制。此外,融合AI的网络药理学整合实验、计算和临床数据,解析药物多靶点机制,增强中药配方疗效。AI加速了活性化合物靶点识别及效果分析。大语言模型的发展也在中医药知识图谱构建和文献分析中发挥重要作用,利用自然语言处理技术,从海量文献中提取有价值信息,构建系统知识结构。AI技术的引入推动了中医药研究的现代化,还在国际化和精准医疗的发展中发挥着关键作用。AI技术不仅提升了中医药研究的整体水平,还为多学科的交叉合作与创新提供了坚实的基础。在未来的发展中,随着AI技术的不断进步,可以预见中医药将在全球范围内发挥更大的作用。这一过程不仅是中医药现代化的重要标志,更是科学与传统智慧结合的体现,必将推动整个医学领域的进步和发展。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 longstanding 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 multiomics 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 m

关 键 词：人工智能 中医药 机器学习 深度学习 大语言模型 

分 类 号：R966[医药卫生—药理学]