Exploring the Anti-Aging Mechanisms of Queen Bee Acid Based on Network Pharmacology and Molecular Docking
Year: 2025
Type: article
Abstract: Queen bee acid (10-hydroxy-2-decenoic acid, QBA) is a biologically active compound known for its anti-aging effects, though its molecular mechanisms are not fully understood. This study employed network pharmacology and molecular docking to explore QBA’s anti-aging mechanisms. Target proteins of QBA were identified via PharmMapper, SwissTarget Prediction, and PubChem, while aging-related target genes were sourced from GeneCards, DisGeNET, and OMIM databases. Venny 2.1 identified 58 common target genes, and a protein–protein interaction (PPI) network was constructed using STRING database. Ten core target genes, including TNF, AKT1, INS, and STAT3, were analyzed for GO and KEGG pathway enrichment using DAVID. GO analysis yielded 154 entries, encompassing biological processes, molecular functions, and cellular components. KEGG pathway analysis identified 73 signaling pathways, including the FOXO signaling pathway and the lifespan regulation pathway. Molecular docking confirmed QBA’s strong binding to core target proteins via hydrogen bonds to at least three sites.
Source: Applied Sciences
DOI: 10.3390/app15063192
Authors: Yinan Feng, Yakai Tian, Aixiang Huang
Institution: Yunnan Agricultural University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4408423253