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Structure homology and interaction redundancy for discovering virus–host protein interactions
Author(s) -
de Chassey Benoît,
MeynielSchicklin Laurène,
AublinGex Anne,
Navratil Vincent,
Chantier Thibaut,
André Patrice,
Lotteau Vincent
Publication year - 2013
Publication title -
embo reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.584
H-Index - 184
eISSN - 1469-3178
pISSN - 1469-221X
DOI - 10.1038/embor.2013.130
Subject(s) - interactome , computational biology , biology , protein–protein interaction , virus , host (biology) , viral replication , identification (biology) , redundancy (engineering) , computer science , genetics , gene , botany , operating system
Virus–host interactomes are instrumental to understand global perturbations of cellular functions induced by infection and discover new therapies. The construction of such interactomes is, however, technically challenging and time consuming. Here we describe an original method for the prediction of high‐confidence interactions between viral and human proteins through a combination of structure and high‐quality interactome data. Validation was performed for the NS1 protein of the influenza virus, which led to the identification of new host factors that control viral replication.

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