系统药理学                        
                
                                
                        
                            鉴定(生物学)                        
                
                                
                        
                            中医药                        
                
                                
                        
                            机制(生物学)                        
                
                                
                        
                            医学                        
                
                                
                        
                            药物发现                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            药理学                        
                
                                
                        
                            计算生物学                        
                
                                
                        
                            药品                        
                
                                
                        
                            生物信息学                        
                
                                
                        
                            生物                        
                
                                
                        
                            替代医学                        
                
                                
                        
                            哲学                        
                
                                
                        
                            植物                        
                
                                
                        
                            认识论                        
                
                                
                        
                            病理                        
                
                        
                    
            作者
            
                Xiaobing Li,Xiaodong Li,Li Wang,Yuanfang Hou,Yongsheng Liu,Jingxin Mao,Li Zhang,Xue‐Mei Li            
         
                    
        
    
            
            标识
            
                                    DOI:10.1142/s0192415x25500752
                                    
                                
                                 
         
        
                
            摘要
            
            Traditional Chinese medicine (TCM) is characterized by its multi-component, multi-target, and multi-pathway properties, which make it an ideal candidate for network pharmacology applications. This approach provides a comprehensive framework for understanding the therapeutic effects of TCM in managing complex diseases. This review highlights recent advancements in network pharmacology as applied to TCM, and focuses on key achievements such as the identification of core bioactive components, target prediction, and the elucidation of mechanisms of action. Notable studies, including network pharmacology research on artemisinin and Compound Danshen Droplet Pills, demonstrate the practical application of this methodology in drug discovery and disease management. Furthermore, this review explores the integration of network pharmacology with omics technologies, and enables a more holistic understanding of TCM’s efficacy. These advancements are crucial in promoting the modernization of TCM and enhancing its integration into contemporary medicine. In conclusion, network pharmacology is advancing TCM research, providing a scientific basis for its clinical application, and paving the way for its global acceptance.
         
            
 
                 
                
                    
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