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Mapping HIV-1 Subtype C gp120Epitopes Using a Bioinformatic Approach.

Authors :
Junqueira, Dennis Maletich
de Medeiros, Rúbia Marília
de Matos Almeida, Sabrina Esteves
Paixão-Cortez, Vanessa Rodrigues
Roehe, Paulo Michel
Spilki, Fernando Rosado
Source :
Advances in Bioinformatics & Computational Biology: 4th Brazilian Symposium on Bioinformatics, Bsb 2009, Porto Alegre, Brazil, July 29-31, 2009. Proceedings; 2009, p156-159, 4p
Publication Year :
2009

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642032226
Database :
Complementary Index
Journal :
Advances in Bioinformatics & Computational Biology: 4th Brazilian Symposium on Bioinformatics, Bsb 2009, Porto Alegre, Brazil, July 29-31, 2009. Proceedings
Publication Type :
Book
Accession number :
76840744
Full Text :
https://doi.org/10.1007/978-3-642-03223-3_16