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In view of network pharmacology and molecular docking technology, to explore the targets as well as effect mechanism of the Huanglian Jiangtang formula (including <jats:italic>Coptis chinensis<\/jats:italic>, <jats:italic>Anemarrhena asphodeloides<\/jats:italic>, rhubarb wine, <jats:italic>Cortex Moutan<\/jats:italic>, <jats:italic>Rehmannia glutinosa<\/jats:italic>, and <jats:italic>dried ginger<\/jats:italic>) in the type II diabetes therapy. <jats:italic>Methods.<\/jats:italic> TCMSP and Batman database (DB) were used to retrieve the chemical components and action targets of drugs; GeneCards, OMIM, TTD, DrugBank, and other databases were applied to screen the disease targets. We used the UniProt DB to annotate the targets before building the drug\u2010compound\u2010target network with Cytoscape 3.9.1. We also exploited the String DB to construct the protein\u2010protein interaction (PPI) network. In addition, the targets for the treatment of type II diabetes were searched in the DrugBank, OMIM, GeneCards, and TTD database; then, we utilized Venn to intersect the key targets for the therapy of type II diabetes and active ingredient targets to obtain common targets. Furthermore, we exploited the common targets using GO and KEGG enrichment analysis method. The common targets and core components were analyzed by molecular docking using the AutoDock software. <jats:italic>Results.<\/jats:italic> A total of 61 effective components of this compound were screened out; drugs and type II diabetes have 278 common targets; the PPI network screened core target proteins such as CDKN1A, CDK2, and E2F1 with the help of molecular docking technology; the three main compounds including quercetin, kaempferol, and gamma\u2010aminobutyric acid were obtained. Besides, the key target proteins had excellent binding properties with the main components. The signal pathways of six compound interventions in type II diabetes were mostly related to cancer, cocaine addiction, aminoacyl\u2010tRNA biosynthesis, glycine, serine, threonine metabolism, platinum drug resistance, and other pathways, according to the KEGG enrichment analysis method. <jats:italic>Conclusion.<\/jats:italic> In the treatment of diabetes, the Huanglian Jiangtang formula has sorts of properties especially in the aspects of composition, target, and pathway. Its molecular target and mechanism of action may be related to pathways in cancer, cocaine addiction, aminoacyl\u2010tRNA biosynthesis, glycine, serine, threonine metabolism, platinum drug resistance, and other pathways. This conclusion can provide theoretical support and science for further research.<\/jats:p>","DOI":"10.1155\/2023\/2827938","type":"journal-article","created":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T23:50:08Z","timestamp":1676591408000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["To Investigate the Potential Mechanism of Huanglian Jiangtang Formula Lowering Blood Sugar in View of Network Pharmacology and Molecular Docking Technology"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5233-9792","authenticated-orcid":false,"given":"Fang 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