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has been cited by the following article:

• TITLE: Target Prediction of Xinyi San for Nasal Polyposis Based on Network Pharmacology

  AUTHORS: Lingdi Wang, Ying Wang

  KEYWORDS: Nasal Polyposis, Network Pharmacology, Xinyi San

  JOURNAL NAME: Pharmacology & Pharmacy, Vol.13 No.2, February 21, 2022

  ABSTRACT: Objective: To analyze the potential mechanism of Xinyi San in treating nasal polyposis through network pharmacology. Methods: We Screened the active components and targets of Xinyi San by TCMSP database, and disease targets through GeneCards database. We constructed “disease-single drug-component-target” network through software Cytoscape 3.7.2 and constructed PPI network through STRING database. GO function and KEGG pathway enrichment were analyzed to predict its mechanism. Results: We got 162 components, 69 therapeutic targets, 88 GO items and 135 pathways. The main pathways include Lipid and atherosclerosis, Chemical carcinogenesis-receptor activation, Kaposi sarcoma-associated herpesvirus infection, Hepatitis B, Human cytomegalovirus infection, etc. Conclusion: This study preliminarily revealed the active components, targets and pathways of Xinyi San in treating nasal polyposis.