HIV protein sequence hotspots for crosstalk with host hub proteins.

HIV proteins target host hub proteins for transient binding interactions. The presence of viral proteins in the infected cell results in out-competition of host proteins in their interaction with hub proteins, drastically affecting cell physiology. Functional genomics and interactome datasets can be...

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Main Authors: Mahdi Sarmady, William Dampier, Aydin Tozeren
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3156123?pdf=render
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spelling doaj-2a97783694a8451ea6ed2b2e36588f032020-11-24T22:06:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0168e2329310.1371/journal.pone.0023293HIV protein sequence hotspots for crosstalk with host hub proteins.Mahdi SarmadyWilliam DampierAydin TozerenHIV proteins target host hub proteins for transient binding interactions. The presence of viral proteins in the infected cell results in out-competition of host proteins in their interaction with hub proteins, drastically affecting cell physiology. Functional genomics and interactome datasets can be used to quantify the sequence hotspots on the HIV proteome mediating interactions with host hub proteins. In this study, we used the HIV and human interactome databases to identify HIV targeted host hub proteins and their host binding partners (H2). We developed a high throughput computational procedure utilizing motif discovery algorithms on sets of protein sequences, including sequences of HIV and H2 proteins. We identified as HIV sequence hotspots those linear motifs that are highly conserved on HIV sequences and at the same time have a statistically enriched presence on the sequences of H2 proteins. The HIV protein motifs discovered in this study are expressed by subsets of H2 host proteins potentially outcompeted by HIV proteins. A large subset of these motifs is involved in cleavage, nuclear localization, phosphorylation, and transcription factor binding events. Many such motifs are clustered on an HIV sequence in the form of hotspots. The sequential positions of these hotspots are consistent with the curated literature on phenotype altering residue mutations, as well as with existing binding site data. The hotspot map produced in this study is the first global portrayal of HIV motifs involved in altering the host protein network at highly connected hub nodes.http://europepmc.org/articles/PMC3156123?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Mahdi Sarmady
William Dampier
Aydin Tozeren
spellingShingle Mahdi Sarmady
William Dampier
Aydin Tozeren
HIV protein sequence hotspots for crosstalk with host hub proteins.
PLoS ONE
author_facet Mahdi Sarmady
William Dampier
Aydin Tozeren
author_sort Mahdi Sarmady
title HIV protein sequence hotspots for crosstalk with host hub proteins.
title_short HIV protein sequence hotspots for crosstalk with host hub proteins.
title_full HIV protein sequence hotspots for crosstalk with host hub proteins.
title_fullStr HIV protein sequence hotspots for crosstalk with host hub proteins.
title_full_unstemmed HIV protein sequence hotspots for crosstalk with host hub proteins.
title_sort hiv protein sequence hotspots for crosstalk with host hub proteins.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description HIV proteins target host hub proteins for transient binding interactions. The presence of viral proteins in the infected cell results in out-competition of host proteins in their interaction with hub proteins, drastically affecting cell physiology. Functional genomics and interactome datasets can be used to quantify the sequence hotspots on the HIV proteome mediating interactions with host hub proteins. In this study, we used the HIV and human interactome databases to identify HIV targeted host hub proteins and their host binding partners (H2). We developed a high throughput computational procedure utilizing motif discovery algorithms on sets of protein sequences, including sequences of HIV and H2 proteins. We identified as HIV sequence hotspots those linear motifs that are highly conserved on HIV sequences and at the same time have a statistically enriched presence on the sequences of H2 proteins. The HIV protein motifs discovered in this study are expressed by subsets of H2 host proteins potentially outcompeted by HIV proteins. A large subset of these motifs is involved in cleavage, nuclear localization, phosphorylation, and transcription factor binding events. Many such motifs are clustered on an HIV sequence in the form of hotspots. The sequential positions of these hotspots are consistent with the curated literature on phenotype altering residue mutations, as well as with existing binding site data. The hotspot map produced in this study is the first global portrayal of HIV motifs involved in altering the host protein network at highly connected hub nodes.
url http://europepmc.org/articles/PMC3156123?pdf=render
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