Exploring the Anti-Aging Mechanisms of Queen Bee Acid Based on Network Pharmacology and Molecular Docking

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.

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Publication Details

Journal
Applied Sciences
Published
2025-03-14
DOI
https://doi.org/10.3390/app15063192
Citations
1
Primary Topic
Healthcare and Venom Research
Type
article
Field-Weighted Citation Impact
1.39
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article

Exploring the Anti-Aging Mechanisms of Queen Bee Acid Based on Network Pharmacology and Molecular Docking

Aixiang Huang, Yi Feng, Yakai Tian
1 citations
Applied Sciences
Healthcare and Venom Research
1.39
article

Exploring the Anti-Aging Mechanisms of Queen Bee Acid Based on Network Pharmacology and Molecular Docking

Aixiang Huang, Yi Feng, Yakai Tian
article en
1 citations

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.

Applied SciencesVol. 15(6)
Yunnan Agricultural University (CN), Institute of Apiculture Research (CN)
Openalex Percentile: Top 23%
Healthcare and Venom Research
1.39
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Exploring the Anti-Aging Mechanisms of Queen Bee Acid Based on Network Pharmacology and Molecular Docking — Aixiang Huang, Yi Feng, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS