Article ; Online: Deciphering Multi-target Pharmacological Mechanism of
2024 Volume 30, Issue 4, Page(s) 295–309
Abstract: Background: Urolithiasis is a prevalent condition with significant morbidity and economic implications. The economic burden associated with urolithiasis primarily stems from medical expenses. Previous literature suggests that herbal plants, including !## ...
Abstract | Background: Urolithiasis is a prevalent condition with significant morbidity and economic implications. The economic burden associated with urolithiasis primarily stems from medical expenses. Previous literature suggests that herbal plants, including Objective: In this research, we employed network pharmacology and molecular docking to examine the active compounds and biological mechanisms of Methods: Active constituents were obtained from previous studies and the IMPPAT database, with their targets predicted using Swiss target prediction. Kidney stone-associated genes were collected from DisGeNET and GeneCards. The active constituent-target-pathway network was constructed using Cytoscape, and the target protein-protein interaction network was generated using the STRING database. Gene enrichment analysis of Results: The findings revealed that Conclusion: These findings provide insight into the anti-kidney stone effects of |
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MeSH term(s) | Cucurbita/chemistry ; Molecular Docking Simulation ; Kidney Calculi/drug therapy ; Seeds/chemistry ; Humans ; Network Pharmacology |
Language | English |
Publishing date | 2024-01-26 |
Publishing country | United Arab Emirates |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1304236-1 |
ISSN | 1873-4286 ; 1381-6128 |
ISSN (online) | 1873-4286 |
ISSN | 1381-6128 |
DOI | 10.2174/0113816128271781231104151155 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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