Exploring the Molecular Mechanism of Fengliao Changweikang in the Treatment of Irritable Bowel Syndrome Based on Network Pharmacology and Molecular Docking Technology

Corresponding author: WU Xiayang, 56425477@qq.com

DOI: 10.12201/bmr.202504.00022

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  Abstract: Objective: Predicting the target and mechanism of Fengliao Changweikang in treating irritable bowel syndrome based on network pharmacology and molecular docking technology. Method: Screening the effective components of Fengliao Changweikang through data mining, constructing a drug-target network using STRING and Cytoscape software to identify key targets and pathways related to irritable bowel syndrome. Perform molecular docking verification on the main active components and core action target proteins, evaluate the binding energy, and process the results for visualization. Results: Obtained 24 potential active components of Fengliao Changweikang, 134 active component target sites, 2353 disease-related target sites. After intersection, 70 potential target sites were obtained, involving 898 biological processes, 96 molecular functions, and 66 cellular components. KEGG enrichment analysis indicates that the therapeutic mechanism of Fengliao Changweikang for irritable bowel syndrome may be achieved by acting on core target points to participate in the regulation of cancer pathways, PI3K/Akt signaling pathways, phospholipase D pathways, and other key signaling pathways. Molecular docking analysis results show that the core compounds in Fengliao Changweikang have good binding activity with the core receptor protein. Conclusion: This study predicts the potential effective components, action targets, and mechanisms of Fengliao Changweikang in treating irritable bowel syndrome through network pharmacology, which can provide theoretical guidance and prediction for further research, but more relevant experiments are still needed for verification in the later stage.

  Key words: Fengliao Changweikang; network pharmacology; irritable bowel syndrome; molecular docking; Target prediction

  Submit time: 9 April 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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