Network pharmacology- and molecular docking-based analyses of the antihypertensive mechanism of Ilex kudingcha.

ABSTRACT: Herein, network pharmacology was used to identify the active components in Ilex kudingcha and common hypertension-related targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted, and molecular docking was performed to verify molecular dynamic simulations. Six active components in Ilex kudingcha were identified; furthermore, 123 target genes common to hypertension were identified. Topological analysis revealed the strongly associated proteins, with RELA, AKT1, JUN, TP53, TNF, and MAPK1 being the predicted targets of the studied traditional Chinese medicine. In addition, GO enrichment analysis revealed significant enrichment of biological processes such as oxidative stress, epith

SUBMITTER: Liao F 

PROVIDER: S-EPMC10470839 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature