Title :
HIV Evolution: Fast or Slow?
Author :
Piontkivska, Helen ; Paul, Sinu
Author_Institution :
Dept. of Biol. Sci., Kent State Univ., Kent, OH, USA
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;
Conference_Titel :
Bioinformatics, 2009. OCCBIO '09. Ohio Collaborative Conference on
Conference_Location :
Cleveland, OH
Print_ISBN :
978-0-7695-3685-9
DOI :
10.1109/OCCBIO.2009.34