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.