Network Pharmacology Prediction and Molecular Docking-Based Strategy to Explore the Potential Mechanism of Gualou Xiebai Banxia Decoction against Myocardial Infarction

Genes (Basel). 2024 Mar 22;15(4):392. doi: 10.3390/genes15040392.

Abstract

The aim of this study was to investigate targets through which Gualou Xiebai Banxia decoction aids in treating myocardial infarction (MI) using network pharmacology in combination with molecular docking. The principal active ingredients of Gualou Xiebai Banxia decoction were identified from the TCMSP database using the criteria of drug-likeness ≥30% and oral bioavailability ≥0.18. Interactions and pathway enrichment were investigated using protein-protein interaction (PPI) networks and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, respectively. Active component structures were docked with those of potential protein targets using AutoDock molecular docking relative softwares. HIF1A was of particular interest as it was identified by the PPI network, GO and KEGG pathway enrichment analyses. In conclusion, the use of network pharmacology prediction and molecular docking assessments provides further information on the active components and mechanisms of action Gualou Xiebai Banxia decoction.

Keywords: Gualou Xiebai Banxia decoction; molecular docking; network pharmacology; targets.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Drugs, Chinese Herbal* / chemistry
  • Drugs, Chinese Herbal* / pharmacology
  • Drugs, Chinese Herbal* / therapeutic use
  • Humans
  • Hypoxia-Inducible Factor 1, alpha Subunit / chemistry
  • Hypoxia-Inducible Factor 1, alpha Subunit / genetics
  • Hypoxia-Inducible Factor 1, alpha Subunit / metabolism
  • Molecular Docking Simulation*
  • Myocardial Infarction* / drug therapy
  • Network Pharmacology*
  • Protein Interaction Maps* / drug effects

Substances

  • Drugs, Chinese Herbal
  • Hypoxia-Inducible Factor 1, alpha Subunit

Grants and funding

Macau University of Science and Technology Faculty Research Grants (FRG-22-088-FMD and FRG-22-089-FMD).