Abstract
Human Immunodeficiency Type-1 subtype C (HIV-1C) is rapidly diverging among populations causing more than 48% of infections worldwide. HIV-1C gp120’s 128 sequences available at Genbank were aligned and submitted to phylogenetic analysis. Three major clusters were identified: 72 sequences aligned with a Brazilian 0072eference sequence; 44 sequences aligned with an Ethiopian sequence and 12 could be group along with Indian isolates. A search was made for conserved HIV-1C cytotoxic T lymphocyte (CTL) epitopes to A*0201, A*0301, A*1101 e B*07 human leukocyte antigen (HLA) alleles (using Epijen software). Five most conserved epitopes were recognized: QMHEDIISL, CTHGIKPVV, NLTNNVKTI, AITQACPKV, CTRPNNNTR. Our results showed a recognized evolutionary force of HIV-1 to escape from CTL responses mutating sites that can be negatively select by host’s immune system. The present study brings up a new approach to in silico epitope analysis taking into account geographical informations on virus diversity and host genetic background.
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Junqueira, D.M., de Medeiros, R.M., de Matos Almeida, S.E., Paixão-Cortez, V.R., Roehe, P.M., Spilki, F.R. (2009). Mapping HIV-1 Subtype C gp120Epitopes Using a Bioinformatic Approach. In: Guimarães, K.S., Panchenko, A., Przytycka, T.M. (eds) Advances in Bioinformatics and Computational Biology. BSB 2009. Lecture Notes in Computer Science(), vol 5676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03223-3_16
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DOI: https://doi.org/10.1007/978-3-642-03223-3_16
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