Systematically characterizing and prioritizing chemosensitivity related gene based on Gene Ontology and protein interaction network.

ABSTRACT:

Background

The identification of genes that predict in vitro cellular chemosensitivity of cancer cells is of great importance. Chemosensitivity related genes (CRGs) have been widely utilized to guide clinical and cancer chemotherapy decisions. In addition, CRGs potentially share functional characteristics and network features in protein interaction networks (PPIN).

Methods

In this study, we proposed a method to identify CRGs based on Gene Ontology (GO) and PPIN. Firstly, we documented 150 pairs of drug-CCRG (curated chemosensitivity related gene) from 492 published papers. Secondly, we characterized CCRGs from the perspective of GO and PPIN. Thirdly, we prioritized CRGs based on CCRGs' GO and network characteristics. Lastly, we evaluated the performance of the proposed metho

SUBMITTER: Chen X 

PROVIDER: S-EPMC3532125 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature