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International Journal of Frontiers in Medicine, 2024, 6(4); doi: 10.25236/IJFM.2024.060409.

Exploring the Molecular Mechanism of the Memie Formula in the Treatment of Insomnia Based on Network Pharmacology and Molecular Docking Technology

Author(s)

Zhihua Zeng1, Ziyuan Fu1, Tonghua Long1, Hongshen Zhang2,3

Corresponding Author:
Hongshen Zhang
Affiliation(s)

1Graduate School, Youjiang Medical University for Nationalities, Baise, Guangxi, China

2School of Pharmacy, Youjiang Medical University for Nationalities, Baise, Guangxi, China

3Key Laboratory of Guangxi Universities and Right River Basin Characteristic Ethnic Medicine Research, Baise, Guangxi, China

Abstract

To elucidate the underlying mechanisms of the “Memie Anshen Formula” in treating insomnia, this study leveraged databases including TCMSP, HERB, ETCM, and STITCH to pinpoint the active constituents of the remedy and their potential targets. Insomnia-related target data were collated from OMIM, GeneCards, and DrugBank. Interactions between target proteins were ascertained via the String database, leading to the construction of a protein-protein interaction network in Cytoscape. The research involved GO function and KEGG pathway enrichment analyses executed with R language and its suite of bioinformatics tools, complemented by molecular docking for empirical validation. The analysis identified 67 active ingredients and 87 intersection targets pertinent to insomnia. Molecular docking affirmed effective affinities between the formula’s active components and the targets. Enrichment analyses highlighted the GABA signaling and serotonin signaling pathways, indicating the formula’s anti-insomnia effects may be mediated through targets such as CYP1B1, ESR1, ABCB1, and HTR2A.

Keywords

Traditional Chinese Medicine Compound Network Pharmacology, Insomnia, Memie, Traditional Chinese Medicine, Chinese Medicine

Cite This Paper

Zhihua Zeng, Ziyuan Fu, Tonghua Long, Hongshen Zhang. Exploring the Molecular Mechanism of the Memie Formula in the Treatment of Insomnia Based on Network Pharmacology and Molecular Docking Technology. International Journal of Frontiers in Medicine (2024), Vol. 6, Issue 4: 68-76. https://doi.org/10.25236/IJFM.2024.060409.

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