中药网络药理学研究流程及代表性数据库工具  

Research Process and Representative Database Tools of Traditional Chinese Medicine Network Pharmacology

作　　者：王凤雪 高宇 刘海波[1] WANG Feng-xue;GAO Yu;LIU Hai-bo(Institute of Medicinal Plant Development,Chinese Academy of Medical Sciences,Peking Union Medical College,Beijing 100193,China)

机构地区：[1]中国医学科学院,北京协和医学院药用植物研究所,北京100193

出　　处：《中国现代中药》2021年第6期1111-1118,共8页Modern Chinese Medicine

基　　金：国家创新药物重大项目(2019ZX09735002);中国医学科学院医学与健康科技创新工程项目(2016-I2M-3-015)。

摘　　要：网络药理学突破了“一药一靶”的限制,在系统生物学层面上探索药物对人体的作用机制,尤其在以中药为代表的复杂体系的药理研究中有着不可替代的优势。近年来,网络药理学研究在中药新活性化合物、中药药理学、中药毒理学、中药配伍规律等研究领域中均得到了广泛应用,深化了中药的研究层次。对网络药理学的基本流程及研究流程中各环节常用的数据库进行梳理,包括中药化合物信息数据库、化合物靶点和疾病靶点预测数据库、基因富集分析数据库等,以期为网络药理学在中药研究中的应用提供参考。Network pharmacology breaks through the limitation of“one drug,one target”and can explore the mechanism of drug action on the human body at the level of systems biology.Especially,it has an irreplaceable advantage for the pharmacological research of the complex systems represented by traditional Chinese medicine.As a result,network pharmacology has rapidly developed in recent years and has made great strides in the research fields of new active compounds,pharmacology,toxicology and combination laws of traditional Chinese medicine,thus deepening its research level.In this paper,the basic process of network pharmacology was briefly introduced,and then the databases commonly used in each link of network pharmacology research were described,including the traditional Chinese medicine compound information database,compound target and disease target prediction database and gene enrichment analysis database.This study can help pharmaceutical workers better use the databases and carry out network pharmacology research.

关 键 词：网络药理学 数据库 中药药理学 

分 类 号：R285[医药卫生—中药学]