Integrated network pharmacology, molecular docking and experimental validation to explore the mechanism of Dingji Fumai Decoction against LQTS
Xiaoyan Huang, Yanghong Jin, Jiangfang Lian

TL;DR
This study explores how Dingji Fumai Decoction may treat Long QT syndrome by analyzing its active compounds and molecular interactions.
Contribution
The study integrates network pharmacology, molecular docking, and experimental validation to reveal DFD's mechanism against LQTS.
Findings
DFD interacts with key targets like KCNH2, HSP90AA1, SCN5A, and CACNA2D1 in LQTS.
Molecular docking confirmed interactions between DFD compounds and LQTS-related targets.
DFD increased levels of some targets while decreasing others, suggesting a regulatory role in LQTS.
Abstract
Dingji Fumai Decoction (DFD), a traditional herbal concoction, is commonly utilized in therapeutic practice to treat ventricular arrhythmia. However, research into the bioactive components and underlying processes of DFD in Long QT syndrome (LQTS) remains limited. All DFD compounds were gathered from the TCMSP, ETCM, and HERB databases, and the targets of active compounds were investigated using SwissTargetPrediction. The LQTS targets were obtained/screened from the DisGeNET, OMIM, and Malacard databases. The herb-compound-target-disease (H-C-T-D) and PPI networks were built using STRING and analyzed with CytoNCA based on the data obtained earlier. Meanwhile, VarElect was used to determine the relationship between targets and illnesses. The R program is used to enrich Gene Ontology (GO) terminology as well as the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The binding…
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Taxonomy
TopicsComputational Drug Discovery Methods · Bioinformatics and Genomic Networks · Plant biochemistry and biosynthesis
