Network Pharmacology Prediction and Molecular Docking-Based Strategy to Explore the Potential Mechanism of Gualou Xiebai Banxia Decoction against Myocardial Infarction.
Genes (Basel)
; 15(4)2024 03 22.
Article
in En
| MEDLINE
| ID: mdl-38674327
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.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Drugs, Chinese Herbal
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Protein Interaction Maps
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Molecular Docking Simulation
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Network Pharmacology
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Myocardial Infarction
Limits:
Humans
Language:
En
Journal:
Genes (Basel)
Year:
2024
Document type:
Article
Affiliation country: