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Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs by Perry Evans; William Dampier; Lyle Ungar; Aydin Tozeren is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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## Abstract ## Background Host protein-protein interaction networks are altered by invading virus proteins, which create new interactions, and modify or destroy others. The resulting network topology favors excessive amounts of virus production in a stressed host cell network. Short linear peptide motifs common to both virus and host provide the basis for host network modification. ## Methods We focused our host-pathogen study on the binding and competing interactions of HIV-1 and human proteins. We showed that peptide motifs conserved across 70% of HIV-1 subtype B and C samples occurred in similar positions on HIV-1 proteins, and we documented protein domains that interact with these conserved motifs. We predicted which human proteins may be targeted by HIV-1 by taking pairs of human proteins that may interact via a motif conserved in HIV-1 and the corresponding interacting protein domain. ## Results Our predictions were enriched with host proteins known to interact with HIV-1 proteins ENV, NEF, and TAT (p-value < 4.26E-21). Cellular pathways statistically enriched for our predictions include the T cell receptor signaling, natural killer cell mediated cytotoxicity, cell cycle, and

Who reads Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs?

Author

Perry Evans; William Dampier; Lyle Ungar; Aydin Tozeren

Publisher

BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, [2008]-; Springer Science and Business Media LLC (ISSN 1755-8794)

Published

2009

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)