Methodology of predicting novel key regulators in ovarian cancer network: a network theoretical approach.

ABSTRACT: BACKGROUND:Identification of key regulator/s in ovarian cancer (OC) network is important for potential drug target and prevention from this cancer. This study proposes a method to identify the key regulators of this network and their importance. METHODS:The protein-protein interaction (PPI) network of ovarian cancer (OC) is constructed from curated 6 hundred genes from standard six important ovarian cancer databases (some of the genes are experimentally verified). We proposed a method to identify key regulators (KRs) from the complex ovarian cancer network based on the tracing of backbone hubs, which participate at all levels of organization, characterized by Newmann-Grivan community finding method. Knockout experiment, constant Potts model and survival analysis are done to characterize th

SUBMITTER: Malik MZ 

PROVIDER: S-EPMC6869253 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature