Author(s)

Minhan Zhou

Corresponding Author

Minhan Zhou

Abstract

As an important anti-tumor treatment strategy, natural medicine has gradually attracted the attention of researchers. The screening of active ingredients for tumor signaling pathways helps reveal their potential mechanisms and guide clinical applications. This paper discusses the application of high-throughput screening, molecular docking, and network pharmacology to systematically explore and evaluate the active ingredients in natural drugs, as well as their potential use in targeting tumor signaling pathways. By analyzing existing literature and databases, this paper constructs a target network. It combines bioinformatics technology to identify key signaling pathways related to tumors, thereby screening natural ingredients with significant biological activity and providing a crucial basis for the development of new anti-tumor drugs. In addition, this study emphasizes the combination of computational models and experimental verification, which improves the effectiveness and reliability of the screening strategy. This paper aims to provide new ideas for the in-depth development of natural medicine research in anti-tumor studies. Natural medicines have significant value in the treatment of tumors and provide a new perspective for network pharmacology research.

Keywords

Natural medicine; Signaling pathways; Target specificity