DocumentCode :
2682689
Title :
Communication interception of human signal transduction pathways by Human Immunodeficiency Virus-1
Author :
Balakrishnan, Sivaraman ; Tastan, Oznur ; Carbonell, Jaime G. ; Klein-Seetharaman, Judith
Author_Institution :
Language Technol. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2009
fDate :
17-21 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
Signal transduction pathways are central to most biological processes. Diversion of such pathways is postulated to be central to the mechanism by which the Human Immunodeficiency Virus-1 (HIV) takes over the human cellular machinery. In this paper, we present an analysis of the interactions between HIV and human signal transduction pathways. We find that the majority of known human pathways are targeted through at least one HIV, human protein interaction (277 of the 453 pathways we considered). There are some pathways in which HIV interacts with disproportionately many proteins, targeting a single pathway at multiple positions. These numerous interactions are not just a function of the size of the pathways; other large pathways are not necessarily targeted to the same extent. Based on this analysis, we propose a novel rational drug design strategy as one of identifying possible ldquoalternaterdquo pathways. Activating or suppressing them may bypass HIV targeted pathways, thus exploiting redundancies in the human protein interaction network.
Keywords :
bioinformatics; cellular biophysics; database management systems; drugs; microorganisms; molecular biophysics; proteins; biological process; communication interception; human cellular machinery; human immunodeficiency virus-1; human protein interaction; human signal transduction pathways; rational drug design strategy; signaling pathway databases; Biological information theory; Biology; Cells (biology); Databases; Human immunodeficiency virus; Immune system; Pathogens; Proteins; Signal analysis; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-4761-9
Electronic_ISBN :
978-1-4244-4762-6
Type :
conf
DOI :
10.1109/GENSIPS.2009.5174369
Filename :
5174369
Link To Document :
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