Graph theoretic network analysis reveals protein pathways underlying cell death following neurotropic viral infection.

ABSTRACT: Complex protein networks underlie any cellular function. Certain proteins play a pivotal role in many network configurations, disruption of whose expression proves fatal to the cell. An efficient method to tease out such key proteins in a network is still unavailable. Here, we used graph-theoretic measures on protein-protein interaction data (interactome) to extract biophysically relevant information about individual protein regulation and network properties such as formation of function specific modules (sub-networks) of proteins. We took 5 major proteins that are involved in neuronal apoptosis post Chandipura Virus (CHPV) infection as seed proteins in a database to create a meta-network of immediately interacting proteins (1(st) order network). Graph theoretic measures were employed to r

SUBMITTER: Ghosh S 

PROVIDER: S-EPMC4585883 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature