网络药理学在中药领域的应用和展望  

Application and Prospect of Network Pharmacology in the Field of Traditional Chinese Medicine

作　　者：张代峰 胡晨骏[1] 胡孔法[1,2] ZHANG Daifeng;HU Chenjun;HU Kongfa(College of Artificial Intelligence and Information Technology,Nanjing University of Chinese Medicine,Nanjing 210023,China;Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor,Nanjing 210023,China)

机构地区：[1]南京中医药大学人工智能与信息技术学院,南京210023 [2]江苏省中医药防治肿瘤协同创新中心,南京210023

出　　处：《医学信息学杂志》2024年第6期30-36,56,共8页Journal of Medical Informatics

基　　金：国家自然科学基金面上项目重点专项基金项目(项目编号:82074580);江苏省研究生科研创新计划(项目编号:KYCX23_2079)。

摘　　要：目的/意义总结近年中药领域网络药理学研究成果,提出人工智能时代大规模生物医学数据解析方法,为中药网络药理学的发展趋势和未来应用提供思路与参考。方法/过程基于文献分析,阐述网络药理学研究流程及其在中药药效物质基础、中药药效作用机制、疾病分子作用机制分析等方面的研究进展。探讨以图神经网络为代表的人工智能方法在中药网络药理学中的应用与趋势。结果/结论将图神经网络引入中药网络药理学研究,借助人工智能模型,进一步丰富网络药理学研究方法,深度解析中药作用机制,为构建现代中药基础理论体系提供技术支撑。Purpose/Significance To summarize the research results of network pharmacology in traditional Chinese medicine(TCM)in recent years,and to propose a large-scale biomedical data analysis method in the era of artificial intelligence(AI),so as to provide ideas and references for the development trend and future application of network pharmacology in TCM.Method/Process Based on literature analysis,the research process of network pharmacology and its research progress in the material basis of TCM efficacy,mechanism of TCM efficacy and analysis of molecular mechanism of disease are reviewed.The application and trend of AI represented by graph neural network in TCM network pharmacology are discussed.Result/Conclusion The graph neural network is introduced into the research of TCM network pharmacology,and the AI model is used to further enrich the research methods of network pharmacology,analyze the mechanism of TCM in depth,and provide technical support for the construction of modern TCM basic theoretical system.

关 键 词：中医药 网络药理学 复杂网络 人工智能 图神经网络 

分 类 号：R-058[医药卫生]