The article reviews the development and application of network pharmacology in the study of Traditional Chinese Medicine (TCM). It highlights the shift from a "one-target, one-drug" paradigm to a "network-target, multiple-component-therapeutics" approach, which is more effective for understanding the complex interactions between herbs, compounds, proteins, genes, and diseases. The authors summarize current databases and tools used in TCM research, focusing on applications such as TCM compatibility, target prediction, and network toxicology. They also compare the features and search results of several TCM databases, emphasizing the need for more comprehensive and user-friendly databases. The article concludes by discussing the potential of integrating TCM with gut microbiota research to enhance the understanding and treatment of microbiome-related diseases.The article reviews the development and application of network pharmacology in the study of Traditional Chinese Medicine (TCM). It highlights the shift from a "one-target, one-drug" paradigm to a "network-target, multiple-component-therapeutics" approach, which is more effective for understanding the complex interactions between herbs, compounds, proteins, genes, and diseases. The authors summarize current databases and tools used in TCM research, focusing on applications such as TCM compatibility, target prediction, and network toxicology. They also compare the features and search results of several TCM databases, emphasizing the need for more comprehensive and user-friendly databases. The article concludes by discussing the potential of integrating TCM with gut microbiota research to enhance the understanding and treatment of microbiome-related diseases.