There are many chemical components in the volatile oil of Dictamni Cortex. The complex network relationship of "component-target-disease" can be revealed by using the network pharmacology method, and the mechanism of the efficacy of Dictamni Cortex can be revealed. In this study, we used Swiss Target Prediction database to predict the target of action, STRING database to build protein interaction network, and Cytoscape software to build "component-target-disease" network. The results showed that the antibacterial, anti-inflammatory and antiallergic effects of Dictamni Cortex were closely related to the components of thymol methyl ether, elemenol, anethole, and the related targets of each component were cross-linked to play a multi-target pharmacodynamic role. This study laid a foundation for the study of the effective substance basis and quality control evaluation of the Dictamni Cortex, and provided a scientific basis for further revealing its mechanism.
Keywords: Dictamni Cortex; network pharmacology; target of action; volatile oil.