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find Keyword "network pharmacology" 1 results
  • Exploration of the potential mechanisms of Da Chaihu Decoction in treating acute pancreatitis based on network pharmacology and molecular docking

    Objective To identify the therapeutic targets and molecular mechanisms of Da Chaihu Decoction in the treatment of acute pancreatitis (AP) based on network pharmacology and molecular docking. Methods From March to May 2024, the active compounds and targets of Da Chaihu Decoction were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, and the targets related to AP were obtained from the GeneCards database. The intersection of these yielded the common targets of Da Chaihu Decoction for AP treatment. The STRING platform was used to construct a protein-protein interaction network, and Cytoscape 3.9.1 software was employed for network topology analysis to identify core targets and compounds. The Metascape platform was applied for gene ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, with bubble charts generated using Python 3.8 software. Molecular docking was conducted using AutoDock 1.5.6 software to predict binding affinities between core compounds and targets. Results A total of 84 common targets of Da Chaihu Decoction for AP treatment were identified. The core compounds included quercetin, β-sitosterol, kaempferol, luteolin, and baicalein. The key proteins included AKT1, B-cell leukemia/lymphoma 2 (BCL2), Jun proto-oncogene (JUN), interleukin 1 Beta (IL1B), and nuclear factor kappa B subunit 1 (NFKB1), all of which were enriched in pathways such as lipid and atherosclerosis, PI3K-Akt signaling pathway, mitogen-activated protein kinase (MAPK) signaling pathway, tumor necrosis factor (TNF) signaling pathway, and apoptosis. The binding energies of some core compounds with key proteins were below –5.0 kJ/mol. Conclusion Da Chaihu Decoction may exert anti-inflammatory and anti-apoptotic effects in AP by modulating key protein targets, including AKT1, BCL2, JUN, IL1B, and NFKB1, within pathways such as lipid and atherosclerosis, PI3K-Akt signaling, MAPK signaling, TNF signaling, and apoptosis.

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