Controlling Directed Protein Interaction Networks in Cancer.

ABSTRACT: Control theory is a well-established approach in network science, with applications in bio-medicine and cancer research. We build on recent results for structural controllability of directed networks, which identifies a set of driver nodes able to control an a-priori defined part of the network. We develop a novel and efficient approach for the (targeted) structural controllability of cancer networks and demonstrate it for the analysis of breast, pancreatic, and ovarian cancer. We build in each case a protein-protein interaction network and focus on the survivability-essential proteins specific to each cancer type. We show that these essential proteins are efficiently controllable from a relatively small computable set of driver nodes. Moreover, we adjust the method to find the driver node

SUBMITTER: Kanhaiya K 

PROVIDER: S-EPMC5583175 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature