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Updated: Jun 30, 2025

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Mechanism of salidroside regulating autophagy based on network pharmacology and molecular docking
Yihong Chai1, Feng Chen1, Hongxing Li1,2
1The First Clinical Medical College of Lanzhou University.
Abstract:
Salidroside is a natural product of phenols with a wide range of pharmacological functions, but whether it plays a role in regulating autophagy is unclear. We systematically investigated the regulatory effect and molecular mechanism of salidroside on autophagy through network pharmacology, which provided a theoretical basis for subsequent experimental research. First, the target genes of salidroside were obtained using the Chinese Medicine System Pharmacology Database and Analysis Platform, and the target genes were converted into standardized gene names using the Uniprot website. At the same time, autophagy-related genes were collected from GeneCards, and preliminary handling of data to obtain intersecting genes. Then, the String website was used to construct a protein-protein interaction network, and to perform the Gene Ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway analysis. To observe the specific molecular mechanism by which salidroside regulates autophagy, we constructed a drug component-target genes-autophagy network. Finally, we performed molecular docking to verify the possible binding conformation between salidroside and the candidate target. By searching the database and analyzing the data, we found that 113 target genes in salidroside interact with autophagy. Salidroside regulate autophagy in relation to a number of important oncogenes and signaling pathways. Molecular docking confirmed that salidroside has high affinity with mTOR, SIRT1, and AKT1. Through network pharmacology combined with molecular docking-validated research methods, we revealed the underlying mechanism of salidroside regulation of autophagy. This study not only provides new systematic insights into the underlying mechanism of salidroside in autophagy, but also provides new ideas for network approaches for autophagy-related research.
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