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| Study on the Pharmacological Mechanism of Fici Hirtae Radix in Treating Myasthenia Gravis based on Network Pharmacology and Molecular Docking |
| ZHANG Hanlin, YU Jieying, TIAN Enwei |
| School of Traditional Chinese Medicine, Southern Medical University, Guangdong Guangzhou 510515, China |
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Abstract Objective: To predict the active components and targets of Fici Hirtae Radix in the treatment of Myasthenia Gravis ( MG )using network pharmacology and molecular docking technology, and to explore its potential mechanism. Methods: The intersection targets between the action targets of Fici Hirtae Radix and the disease targets of MG were obtained through TCMSP, SwissADME, OMIM, GeneCards and other databases, and the interactions between the targets were resolved and PPI network diagrams were constructed using the STRING database platform. Active ingredient-disease target network analysis was conducted using Cytoscape 3.9.0 software, based on which functional enrichment analysis of GO and KEGG genes was performed using David's database. After screening the key active ingredients and target genes, the active ingredients were molecularly docked to the important targets using Autodock vina and PyMol software to verify the binding activity. Results: Eight effective active components with targets were screened from Fici Hirtae Radix, and eight possible protein targets of TNF, IL6, EGFR and IL1 B in the treatment of MG were predicted. By mediating TNF, Toll-like cell receptor, PI3K-Akt, MAPK and other signaling pathways, anti-inflammatory and improving their immune ability were produced, so as to achieve the occurrence and progress of myasthenia gravis, and the activity between components and targets was preliminarily verified. Conclusion: The characteristics of multi-component, multi-target and multi-pathway in the treatment of MG were revealed by network pharmacology and molecular docking technology, and the possible targets and signal transduction mechanisms of Fici Hirtae Radix in the treatment of myasthenia gravis were explored.
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2023, Vol. 29 
