About: Common Nodes of Virus–Host Interaction Revealed Through an Integrated Network Analysis

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Common Nodes of Virus–Host Interaction Revealed Through an Integrated Network Analysis
Creator	Merits, Andres Ianevski, Aleksandr Tenson, Tanel Zusinaite, Eva Kuivanen, Suvi Oksenych, Valentyn Vapalahti, Olli Superti-Furga, Giulio Bergqvist, Anders Bjørås, Magnar Bösl, Korbinian Dumpis, Uga Kaarbø, Mari Kainov, Denis Kallio-Kokko, Hannimari Shum, David Snijder, Berend Teppor, Mona Vitkauskiene, Astra Andersen, Petter Anthonsen, Marit Bogunovic, Dusan Cox, Rebecca Kandasamy, Richard Krogan, Nevan Lim, Jean Than, Thoa Windisch, Marc
topic	covid:65ca70396d041072aeab57a007cffef0870897cf#this
Source	Medline; PMC
abstract	Viruses are one of the major causes of acute and chronic infectious diseases and thus a major contributor to the global burden of disease. Several studies have shown how viruses have evolved to hijack basic cellular pathways and evade innate immune response by modulating key host factors and signaling pathways. A collective view of these multiple studies could advance our understanding of virus-host interactions and provide new therapeutic perspectives for the treatment of viral diseases. Here, we performed an integrative meta-analysis to elucidate the 17 different host-virus interactomes. Network and bioinformatics analyses showed how viruses with small genomes efficiently achieve the maximal effect by targeting multifunctional and highly connected host proteins with a high occurrence of disordered regions. We also identified the core cellular process subnetworks that are targeted by all the viruses. Integration with functional RNA interference (RNAi) datasets showed that a large proportion of the targets are required for viral replication. Furthermore, we performed an interactome-informed drug re-purposing screen and identified novel activities for broad-spectrum antiviral agents against hepatitis C virus and human metapneumovirus. Altogether, these orthogonal datasets could serve as a platform for hypothesis generation and follow-up studies to broaden our understanding of the viral evasion landscape.
has issue date	2019-10-04(xsd:dateTime)
bibo:doi	10.3389/fimmu.2019.02186
bibo:pmid	31636628
has license	cc-by
sha1sum (hex)	65ca70396d041072aeab57a007cffef0870897cf
schema:url	https://doi.org/10.3389/fimmu.2019.02186
resource representing a document's title	Common Nodes of Virus–Host Interaction Revealed Through an Integrated Network Analysis
has PubMed Central identifier	PMC6787150
has PubMed identifier	31636628
schema:publication	Front Immunol
resource representing a document's body	covid:65ca70396d041072aeab57a007cffef0870897cf#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/65ca70396d041072aeab57a007cffef0870897cf
is schema:about of	named entity 'viral replication' named entity 'meta-analysis' named entity 'host' named entity 'Viruses' named entity 'cellular' named entity 'Nodes' named entity 'Network' named entity 'GLOBAL BURDEN OF DISEASE' named entity 'ACUTE' named entity 'REQUIRED' named entity 'CAUSES' named entity 'BROAD' named entity 'ANTIVIRAL AGENTS' named entity 'MODULATING' named entity 'THESE' named entity 'INFECTIOUS DISEASES' named entity 'PERFORMED' named entity 'GENOMES' named entity 'VIRAL REPLICATION' named entity 'NOVEL' named entity 'REGIONS' named entity 'NETWORK' named entity 'RNA INTERFERENCE' named entity 'SPECTRUM' named entity 'ONE OF' named entity 'VIRUS' named entity 'LANDSCAPE' named entity 'ACTIVITIES' named entity 'PROTEINS' named entity 'HIGH' named entity 'CHRONIC' named entity 'PROPORTION' named entity 'VIRAL' named entity 'OCCURRENCE' named entity 'VIEW' named entity 'HEPATITIS C VIRUS' named entity 'INNATE IMMUNE RESPONSE' named entity 'CELLULAR' named entity 'NEW' named entity 'BIOINFORMATICS' named entity 'TREATMENT' named entity 'STUDIES' named entity 'SIGNALING PATHWAYS' named entity 'INTEGRATED' named entity 'MAXIMAL EFFECT' named entity 'MAJOR' named entity 'TARGETING' named entity 'FUNCTIONAL RNA' named entity 'A MAJOR' named entity 'BASIC' named entity 'CORE' named entity 'HUMAN METAPNEUMOVIRUS'

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