Network-based study reveals potential infection pathways of hepatitis-C leading to various diseases.

ABSTRACT: Protein-protein interaction network-based study of viral pathogenesis has been gaining popularity among computational biologists in recent days. In the present study we attempt to investigate the possible pathways of hepatitis-C virus (HCV) infection by integrating the HCV-human interaction network, human protein interactome and human genetic disease association network. We have proposed quasi-biclique and quasi-clique mining algorithms to integrate these three networks to identify infection gateway host proteins and possible pathways of HCV pathogenesis leading to various diseases. Integrated study of three networks, namely HCV-human interaction network, human protein interaction network, and human proteins-disease association network reveals potential pathways of infection by the HCV tha

SUBMITTER: Mukhopadhyay A 

PROVIDER: S-EPMC3990553 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature