Integrating Network Pharmacology and Experimental Validation to Identifying Key Herbal Components and Targets for Liver Cancer.

ABSTRACT:

Background

Traditional Chinese medicines (TCMs) offer a comprehensive approach to managing malignant tumors.

Objectives

The present study aims to predict the high-frequency herbs, core components, and core targets for liver cancer treatment through data mining and network pharmacology.

Methods

The "traditional Chinese Medicine - active components - target - disease" network was established using Cytoscape to identify core components. A protein-protein interaction (PPI) network was constructed using the STRING database, and Cytoscape was used for network topological analysis to identify the core targets. Subsequently, molecular docking was performed using AutoDock Vina and PyMOL to calculate binding energies of core components with core targets. Furthermore, in vitro e

SUBMITTER: Wang F 

PROVIDER: S-EPMC12524083 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature