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