Objective: Lingzhu San (LZS) is a traditional Chinese medicine (TCM) prescription that can be effective in treating febrile seizures (FS) and there are few research works conducted on its mechanisms. In order to better guide the clinical use of LZS, we used the research ideas and methods of network pharmacology to find the potential core compounds, targets and pathways of LZS in the complex TCM system for the treatment of FS, and predict the mechanism.

Materials and Methods: Databases such as BATMAN, TCMSP, TCMID, and SWISS TARGET are used to mine the active compounds and targets of LZS, and the target information of FS is obtained through GENECARDS and OMIM. Using Venny2.1.0 and Cytoscape software, the potential core compounds and targets of FS were obtained. The R language and ClusterProfiler software package are adopted to enrich and analyze the KEGG and GO pathways of the core targets and the biological processes and potential mechanisms of the core targets are also revealed.

Results: 187 active compounds and 2113 target proteins of LZS were collected. And 38 potential core compounds, 35 core targets and 775 metabolic and functional pathways were screened, which were involved in mediating FS. Finally, the role of the core compounds, targets and pivotal pathways of LZS in regulating FS in the pathogenesis and the therapeutic mechanism of FS were discussed and clarified.

Conclusion: In this paper, the multi-compounds, multi-targets and multi-pathways mechanism of LZS in the treatment of FS were preliminarily screened through the analysis of network pharmacology data, which are consistent with the principle of multi-compounds’ compatibility with TCM prescriptions and a unified treatment of diseases from multiple aspects, and it provides a new way for TCM to treat complex diseases caused by multiple factors.

目的：灵术散（LZS）是一种能有效治疗热性惊厥（FS）的中药（TCM）方剂，对其作用机制的研究较少。为了更好地指导LZS的临床应用，我们运用网络药理学的研究思路和方法，在复杂的中医治疗FS系统中寻找LZS潜在的核心化合物、靶点和通路，并预测其作用机制。

材料与方法：利用BATMAN、TCMSP、TCMID、SWISS TARGET等数据库挖掘LZS的活性化合物和靶标，通过GENECARDS和OMIM获取FS的靶标信息。使用Venny2.1.0和Cytoscape软件，获得了FS的潜在核心化合物和靶点。采用R语言和ClusterProfiler软件包对核心靶点的KEGG和GO通路进行了丰富和分析，揭示了核心靶点的生物学过程和潜在机制。

结果：共收集到LZS的187个活性化合物和2113个靶蛋白。筛选出参与介导FS的38个潜在核心化合物、35个核心靶点和775个代谢和功能通路。最后，讨论并阐明了LZS的核心化合物、靶点和关键通路在FS发病机制中调控FS的作用以及FS的治疗机制。

结论：本文通过网络药理学数据分析，初步筛选出LZS治疗FS的多化合物、多靶点、多通路机制，符合多化合物配伍原则。中医方剂多方统一治病，为中医药治疗多因素复杂疾病提供了新途径。