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In-silico identification of the vaccine candidate epitopes against the Lassa virus hemorrhagic fever
Lassa virus (LASV), a member of the Arenaviridae, is an ambisense RNA virus that causes severe hemorrhagic fever with a high fatality rate in humans in West and Central Africa. Currently, no FDA approved drugs or vaccines are available for the treatment of LASV fever. The LASV glycoprotein complex (...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203123/ https://www.ncbi.nlm.nih.gov/pubmed/32376973 http://dx.doi.org/10.1038/s41598-020-63640-1 |
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author | Baral, Prabin Pavadai, Elumalai Gerstman, Bernard S. Chapagain, Prem P. |
author_facet | Baral, Prabin Pavadai, Elumalai Gerstman, Bernard S. Chapagain, Prem P. |
author_sort | Baral, Prabin |
collection | PubMed |
description | Lassa virus (LASV), a member of the Arenaviridae, is an ambisense RNA virus that causes severe hemorrhagic fever with a high fatality rate in humans in West and Central Africa. Currently, no FDA approved drugs or vaccines are available for the treatment of LASV fever. The LASV glycoprotein complex (GP) is a promising target for vaccine or drug development. It is situated on the virion envelope and plays key roles in LASV growth, cell tropism, host range, and pathogenicity. In an effort to discover new LASV vaccines, we employ several sequence-based computational prediction tools to identify LASV GP major histocompatibility complex (MHC) class I and II T-cell epitopes. In addition, many sequence- and structure-based computational prediction tools were used to identify LASV GP B-cell epitopes. The predicted T- and B-cell epitopes were further filtered based on the consensus approach that resulted in the identification of thirty new epitopes that have not been previously tested experimentally. Epitope-allele complexes were obtained for selected strongly binding alleles to the MHC-I T-cell epitopes using molecular docking and the complexes were relaxed with molecular dynamics simulations to investigate the interaction and dynamics of the epitope-allele complexes. These predictions provide guidance to the experimental investigations and validation of the epitopes with the potential for stimulating T-cell responses and B-cell antibodies against LASV and allow the design and development of LASV vaccines. |
format | Online Article Text |
id | pubmed-7203123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72031232020-05-12 In-silico identification of the vaccine candidate epitopes against the Lassa virus hemorrhagic fever Baral, Prabin Pavadai, Elumalai Gerstman, Bernard S. Chapagain, Prem P. Sci Rep Article Lassa virus (LASV), a member of the Arenaviridae, is an ambisense RNA virus that causes severe hemorrhagic fever with a high fatality rate in humans in West and Central Africa. Currently, no FDA approved drugs or vaccines are available for the treatment of LASV fever. The LASV glycoprotein complex (GP) is a promising target for vaccine or drug development. It is situated on the virion envelope and plays key roles in LASV growth, cell tropism, host range, and pathogenicity. In an effort to discover new LASV vaccines, we employ several sequence-based computational prediction tools to identify LASV GP major histocompatibility complex (MHC) class I and II T-cell epitopes. In addition, many sequence- and structure-based computational prediction tools were used to identify LASV GP B-cell epitopes. The predicted T- and B-cell epitopes were further filtered based on the consensus approach that resulted in the identification of thirty new epitopes that have not been previously tested experimentally. Epitope-allele complexes were obtained for selected strongly binding alleles to the MHC-I T-cell epitopes using molecular docking and the complexes were relaxed with molecular dynamics simulations to investigate the interaction and dynamics of the epitope-allele complexes. These predictions provide guidance to the experimental investigations and validation of the epitopes with the potential for stimulating T-cell responses and B-cell antibodies against LASV and allow the design and development of LASV vaccines. Nature Publishing Group UK 2020-05-06 /pmc/articles/PMC7203123/ /pubmed/32376973 http://dx.doi.org/10.1038/s41598-020-63640-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Baral, Prabin Pavadai, Elumalai Gerstman, Bernard S. Chapagain, Prem P. In-silico identification of the vaccine candidate epitopes against the Lassa virus hemorrhagic fever |
title | In-silico identification of the vaccine candidate epitopes against the Lassa virus hemorrhagic fever |
title_full | In-silico identification of the vaccine candidate epitopes against the Lassa virus hemorrhagic fever |
title_fullStr | In-silico identification of the vaccine candidate epitopes against the Lassa virus hemorrhagic fever |
title_full_unstemmed | In-silico identification of the vaccine candidate epitopes against the Lassa virus hemorrhagic fever |
title_short | In-silico identification of the vaccine candidate epitopes against the Lassa virus hemorrhagic fever |
title_sort | in-silico identification of the vaccine candidate epitopes against the lassa virus hemorrhagic fever |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203123/ https://www.ncbi.nlm.nih.gov/pubmed/32376973 http://dx.doi.org/10.1038/s41598-020-63640-1 |
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