Conserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach

Acquired immune deficiency syndrome (AIDS) has been identified from US patients since 1981. AIDS is caused by infection with the human immunodeficiency virus type 1 (HIV-1) which is a retrovirus. HIV-1 gp120 can be recognized by the immune system because it is located outside the virion. The conserv...

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Autores principales:	Viol Dhea Kharisma, Arif Nur Muhammad Ansori, Gabrielle Ann Villar Posa, Wahyu Choirur Rizky, Sofy Permana, Arli Aditya Parikesit
Formato:	article
Lenguaje:	ID
Publicado:	Poltekkes Kemenkes Yogyakarta 2021
Materias:	aids bioinformatics conserved region hiv vaccine design Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/fcb68d4d7ade46b087da3733be31c478
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spelling	oai:doaj.org-article:fcb68d4d7ade46b087da3733be31c4782021-11-13T13:29:49ZConserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach2338-56342580-019110.29238/teknolabjournal.v10i1.274https://doaj.org/article/fcb68d4d7ade46b087da3733be31c4782021-06-01T00:00:00Zhttps://teknolabjournal.com/index.php/Jtl/article/view/274https://doaj.org/toc/2338-5634https://doaj.org/toc/2580-0191Acquired immune deficiency syndrome (AIDS) has been identified from US patients since 1981. AIDS is caused by infection with the human immunodeficiency virus type 1 (HIV-1) which is a retrovirus. HIV-1 gp120 can be recognized by the immune system because it is located outside the virion. The conserved region is identified in gp120, and it is recognized by an immune cell which then initiates specific immune responses, viral mutation escape, and increase vaccine protection coverage, a benefit derived from the conserved region-based vaccine design. However, previous researchers have little knowledge on this conserved region as a target for vaccine design. This paper explains how the conserved region of gp120 HIV-1 is a major target for vaccine design through a bioinformatics approach. The conserved region from gp120 was explored as a vaccine design target with a bioinformatics tool that consists of B-cell epitope mapping, vaccine properties, molecular docking, and dynamic simulation. The peptide vaccine candidate of B5 with the gp120 HIV-1 conserved region was found to provoke B-cell activation through a direct pathway, produce specific antibody, and increase protection from multi-strain viral infection.Viol Dhea KharismaArif Nur Muhammad AnsoriGabrielle Ann Villar PosaWahyu Choirur RizkySofy PermanaArli Aditya ParikesitPoltekkes Kemenkes Yogyakartaarticleaidsbioinformaticsconserved regionhivvaccine designMedicine (General)R5-920IDJurnal Teknologi Laboratorium, Vol 10, Iss 1, Pp 06-13 (2021)
institution	DOAJ
collection	DOAJ
language	ID
topic	aids bioinformatics conserved region hiv vaccine design Medicine (General) R5-920
spellingShingle	aids bioinformatics conserved region hiv vaccine design Medicine (General) R5-920 Viol Dhea Kharisma Arif Nur Muhammad Ansori Gabrielle Ann Villar Posa Wahyu Choirur Rizky Sofy Permana Arli Aditya Parikesit Conserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach
description	Acquired immune deficiency syndrome (AIDS) has been identified from US patients since 1981. AIDS is caused by infection with the human immunodeficiency virus type 1 (HIV-1) which is a retrovirus. HIV-1 gp120 can be recognized by the immune system because it is located outside the virion. The conserved region is identified in gp120, and it is recognized by an immune cell which then initiates specific immune responses, viral mutation escape, and increase vaccine protection coverage, a benefit derived from the conserved region-based vaccine design. However, previous researchers have little knowledge on this conserved region as a target for vaccine design. This paper explains how the conserved region of gp120 HIV-1 is a major target for vaccine design through a bioinformatics approach. The conserved region from gp120 was explored as a vaccine design target with a bioinformatics tool that consists of B-cell epitope mapping, vaccine properties, molecular docking, and dynamic simulation. The peptide vaccine candidate of B5 with the gp120 HIV-1 conserved region was found to provoke B-cell activation through a direct pathway, produce specific antibody, and increase protection from multi-strain viral infection.
format	article
author	Viol Dhea Kharisma Arif Nur Muhammad Ansori Gabrielle Ann Villar Posa Wahyu Choirur Rizky Sofy Permana Arli Aditya Parikesit
author_facet	Viol Dhea Kharisma Arif Nur Muhammad Ansori Gabrielle Ann Villar Posa Wahyu Choirur Rizky Sofy Permana Arli Aditya Parikesit
author_sort	Viol Dhea Kharisma
title	Conserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach
title_short	Conserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach
title_full	Conserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach
title_fullStr	Conserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach
title_full_unstemmed	Conserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach
title_sort	conserved b-cell epitope identification of envelope glycoprotein (gp120) hiv-1 to develop multi-strain vaccine candidate through bioinformatics approach
publisher	Poltekkes Kemenkes Yogyakarta
publishDate	2021
url	https://doaj.org/article/fcb68d4d7ade46b087da3733be31c478
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Conserved B-cell epitope identification of envelope glycoprotein (GP120) HIV-1 to develop multi-strain vaccine candidate through bioinformatics approach

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