title: Predicting the host protein interactors of Chandipura virus using a structural similarity-based approach.
abstract: Chandipura virus (CHPV), alike other pathogens, exploits the cellular infrastructure of their hosts through complex network of interactions for successful infection. CHPV being a recently emerged pediatric encephalitic virus, the mechanisms involved in the establishment of viral persistence are still ill defined. Because the protein interface between CHPV and its host provides one means by which the virus invades and seize control of their human host machinery, the authors in this study have employed computational methods to create a network of putative protein-protein interactions between CHPV and its human host to shed light on the hitherto less-known CHPV biology. On the basis of the 2105 potential interactions predicted among 1650 human proteins and the five proteins of CHPV, the authors decipher the probable mode by which the virus manipulates the biological pathways of its host toward its own end and replicates while evading the immune system. Identification of such conserved set of putative interactions that allow the virus to take control of the host has the potential to deepen our understanding of the virus-specific remodeling processes of the host cell and illuminate new arenas of disease intervention.
authors.affiliation: Center for Emerging Diseases, Department of Biotechnology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India.
authors.forename: Sreejith
authors.initials: S
authors.lastname: Rajasekharan
authors.affiliation: Center for Emerging Diseases, Department of Biotechnology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India.
authors.forename: Jyoti
authors.initials: J
authors.lastname: Rana
authors.affiliation: Center for Emerging Diseases, Department of Biotechnology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India.
authors.forename: Sahil
authors.initials: S
authors.lastname: Gulati
authors.affiliation: Center for Emerging Diseases, Department of Biotechnology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India.
authors.forename: Sanjeev K
authors.initials: SK
authors.lastname: Sharma
authors.affiliation: Department of Microbiology, Ram Lal Anand College, University of Delhi South Campus (UDSC), Benito Juarez Marg, New Delhi, India.
authors.forename: Vandana
authors.initials: V
authors.lastname: Gupta
authors.affiliation: Center for Emerging Diseases, Department of Biotechnology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India sanjay.gupta@jiit.ac.in sjay1908@gmail.com.
authors.forename: Sanjay
authors.initials: S
authors.lastname: Gupta
mesh_terms: D019295:Computational Biology; D054884:Host-Pathogen Interactions; D006801:Humans; D060066:Protein Interaction Maps; D018116:Vesiculovirus / Q000502:physiology*; D014764:Viral Proteins / Q000235:genetics* / Q000378:metabolism
chemical_list: D014764:Viral Proteins
keywords: cellular receptor; rhabdoviruses; vesiculoviruses; viral replication