DocumentCode
2452679
Title
HIV Evolution: Fast or Slow?
Author
Piontkivska, Helen ; Paul, Sinu
Author_Institution
Dept. of Biol. Sci., Kent State Univ., Kent, OH, USA
fYear
2009
fDate
15-17 June 2009
Firstpage
96
Lastpage
96
Abstract
Summary form only given. It is known that in the human immunodeficiency virus (HIV) genome regions responsible for interactions with the host´s immune system, namely, cytotoxic T-lymphocyte (CTL) epitopes, tend to be clustered together, sometimes found in more conserved parts of genome. On the other hand, more variable regions tend to have lower density of CTL epitopes. Furthermore, high recombination rate, coupled with high mutation rate, results in overall high diversity of HIV sequences, which is expected to result in little if any association between different regions of a genome. Or is it not? Employing data mining technique, we show that indeed some rather strong associations between different regions of HIV genome can be detected, even when circulating recombinant forms are considered. This can partly be attributed to strong functional constraints acting on protein sequences and certain CTL epitopes regions in particular.
Keywords
bioinformatics; cellular biophysics; data mining; evolution (biological); genetics; microorganisms; proteins; CTL epitope; HIV evolution; HIV sequence; cytotoxic T-lymphocyte; data mining technique; genome detection; human immunodeficiency virus genome; immune system interaction; protein sequence; Bioinformatics; Biology; Collaboration; Data mining; Evolution (biology); Genetic mutations; Genomics; Human immunodeficiency virus; Immune system; USA Councils; HIV-1; cytotoxic T-lymphocyte epitopes; data mining; human immunodeficiency virus; purifying selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics, 2009. OCCBIO '09. Ohio Collaborative Conference on
Conference_Location
Cleveland, OH
Print_ISBN
978-0-7695-3685-9
Type
conf
DOI
10.1109/OCCBIO.2009.34
Filename
5159170
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