Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure

The V3 loop of human immunodeficiency virus type 1 (HIV-1) is critical for coreceptor binding and it is the main determinant of which cellular co-receptor is used, CCR5 or CXCR4. The virus uses this V3 loop for cell entry. It is also the determinant for syncytium formation, virus infectivity and...

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Main Author: Min, Ong Si
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2013
Subjects:
Online Access:http://eprints.usm.my/58884/
http://eprints.usm.my/58884/1/ONG%20SI%20MIN%20-%20e.pdf
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author Min, Ong Si
author_facet Min, Ong Si
author_sort Min, Ong Si
building USM Institutional Repository
collection Online Access
description The V3 loop of human immunodeficiency virus type 1 (HIV-1) is critical for coreceptor binding and it is the main determinant of which cellular co-receptor is used, CCR5 or CXCR4. The virus uses this V3 loop for cell entry. It is also the determinant for syncytium formation, virus infectivity and antibody neutralization. Accurate prediction of the co-receptor used by the virus in the patient is important as it allows personalized selection of effective drugs and prognosis of disease progression. This study aims to determine the sequence variation of V3 loop structure and predict the co-receptor used by HIV-1 viruses from Kelantan isolate using bioinformatics tools to monitor the disease progression of the patients. It is also aims to determine the origin of HIV-1 viruses from Kelantan by constructing a phylogenetic tree based on V3 region of the virus. In this study, the V3 loop of thirty HIV-1 viruses from Kelantan was successfully amplified and these amplicons were sequenced and aligned using Bioedit software. The tip motif of the HIV-1 virus was determined by translating the nucleotide to amino acid sequence. The co-receptor used by the virus was predicted using two bioinformatics tool, Geno2pheno (Max Planck Institut Informatik) and Profile-based String Kernel Software (Corbeil Research Group). The results reveal that among the thirty samples; twenty-nine samples were using CCR5 as co-receptor with tip motif GPGQVFYRTGDETGD1 while only one virus that utilized CXCR4 asco-receptor with tip motif of GPGQVFYRTGDITGDIL. Based on phylogenetic and BLAST results, 30 viruses were identified as Circulating Recombinant Forms (CRFs) virus with 10 samples were classified into CRF01AE and 20 were the new recombinant of AE/B subtype The HIV-1 viruses were closely related to the published HIV-1 viruses from Thailand, Singapore and Malaysia itself. The bioinformatics tools could be suggested as preliminary prediction of co-receptor used by HIV-1 virus for prognosis of disease progression.
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spelling usm-588842023-08-16T06:32:27Z http://eprints.usm.my/58884/ Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure Min, Ong Si QR Microbiology The V3 loop of human immunodeficiency virus type 1 (HIV-1) is critical for coreceptor binding and it is the main determinant of which cellular co-receptor is used, CCR5 or CXCR4. The virus uses this V3 loop for cell entry. It is also the determinant for syncytium formation, virus infectivity and antibody neutralization. Accurate prediction of the co-receptor used by the virus in the patient is important as it allows personalized selection of effective drugs and prognosis of disease progression. This study aims to determine the sequence variation of V3 loop structure and predict the co-receptor used by HIV-1 viruses from Kelantan isolate using bioinformatics tools to monitor the disease progression of the patients. It is also aims to determine the origin of HIV-1 viruses from Kelantan by constructing a phylogenetic tree based on V3 region of the virus. In this study, the V3 loop of thirty HIV-1 viruses from Kelantan was successfully amplified and these amplicons were sequenced and aligned using Bioedit software. The tip motif of the HIV-1 virus was determined by translating the nucleotide to amino acid sequence. The co-receptor used by the virus was predicted using two bioinformatics tool, Geno2pheno (Max Planck Institut Informatik) and Profile-based String Kernel Software (Corbeil Research Group). The results reveal that among the thirty samples; twenty-nine samples were using CCR5 as co-receptor with tip motif GPGQVFYRTGDETGD1 while only one virus that utilized CXCR4 asco-receptor with tip motif of GPGQVFYRTGDITGDIL. Based on phylogenetic and BLAST results, 30 viruses were identified as Circulating Recombinant Forms (CRFs) virus with 10 samples were classified into CRF01AE and 20 were the new recombinant of AE/B subtype The HIV-1 viruses were closely related to the published HIV-1 viruses from Thailand, Singapore and Malaysia itself. The bioinformatics tools could be suggested as preliminary prediction of co-receptor used by HIV-1 virus for prognosis of disease progression. Universiti Sains Malaysia 2013 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/58884/1/ONG%20SI%20MIN%20-%20e.pdf Min, Ong Si (2013) Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure. Project Report. Universiti Sains Malaysia. (Submitted)
spellingShingle QR Microbiology
Min, Ong Si
Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure
title Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure
title_full Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure
title_fullStr Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure
title_full_unstemmed Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure
title_short Prediction of co-receptor binding of HIV-1 virus of Kelantan based on sequence analysis of V3 loop structure
title_sort prediction of co-receptor binding of hiv-1 virus of kelantan based on sequence analysis of v3 loop structure
topic QR Microbiology
url http://eprints.usm.my/58884/
http://eprints.usm.my/58884/1/ONG%20SI%20MIN%20-%20e.pdf