Drug-target network of taxanes revealed by data mining

Abstract

Taxanes, mainly group paclitaxel and docetaxel, are amongst the most promising anticancer agents that are widely used for a variety of tumor types. It is a great challenge to gain a quick overview of the molecular mechanisms of taxanes, owning to the massive amounts of data have been produced. Network pharmacology will be a powerful tool to uncover the drug-targets network of taxanes. In this study, drug-targets network of paclitaxel and docetaxel were constructed via STITCH by database mining, and its topological parameters and important nodes were analyzed. All will provide a systematic understanding for molecular mechanisms of pacltaxel and docetaxel in a quick and visual way.