Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing () for colorectal cancer.

BACKGROUND

Colorectal cancer (CRC) is the leading cause of cancer-related death worldwide. Wang Bu Liu Xing [ (SV)] is a traditional Chinese medicine (TCM) ingredient with anti-angiogenic and anti-tumor effects. However, little research has been done on the ingredients found in SV or the putative process by which SV fights CRC, and this paper aims to reveal the components of SV that are effective in treating CRC.

METHODS

The open database and online platform were used in this study, Symptom Mapping (SymMap) and Traditional Chinese Medicine Systems Pharmacology (TCMSP) for SV ingredient and targets, Gene Expression Omnibus (GEO) for differentially expressed genes (DEGs) of CRC, Database for Annotation Visualization and Integrated Discovery (DAVID) for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, STRING-Cytoscape for protein-protein interaction (PPI), AutoDockTools for Molecular docking and others. were conducted to determine how SV affects CRC and what are the most important components, potential targets, and signaling pathways.

RESULTS

The findings of the network pharmacology study indicated that swerchirin and potential target gene for SV was connected to anti-CRC actions. SV may inhibit CRC by interacting with crucial targets like , , and . Additionally, KEGG analysis revealed that the p53 signaling pathway may be a driver of the anti-CRC impact of SV. Molecular docking showed that swerchirin can bind with its target protein in a good bond by intermolecular force.

CONCLUSIONS

In this study, the pharmacological effects of SV were examined, along with its potential therapeutic impact on CRC. These effects of SV appear to be mediated via a variety of substances, targets, and pathways. SV exerts pharmacological effects in CRC, p53 signaling pathway is great value. The main molecular docking is and swerchirin. Moreover, our research offers a promising method for characterizing therapeutic pathways and identifying molecules in TCM.