Ontology highlight
ABSTRACT: Background
Cancer is the second most common cause of death globally. The anticancer effects of Tanshinone IIA (Tan IIA) has been confirmed by numerous researches. However, the underlying mechanism remained to be integrated in systematic format. Systems biology embraced the complexity of cancer; therefore, a system study approach was proposed in the present study to explore the anticancer mechanism of Tan IIA based on network pharmacology.Method
Agilent Literature Search (ALS), a text-mining tool, was used to pull protein targets of Tan IIA. Then, pharmacological clustering was applied to classify obtained hits, the anticancer module was analysed further. The top ten essential nodes in the anticancer module were obtained by Cluster
SUBMITTER: Cao YF
PROVIDER: S-EPMC6206912 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature