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Computer aided epitope design as a peptide vaccine component against Lassa virus
Lassa virus (LASV) is an arena virus causing hemorrhagic fever and it is endemic in several regions of West Africa. The disease-causing virus records high mortality rate in endemic regions due to lack of appropriate treatment and prevention strategies. Therefore, it is of interest to design and deve...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5767920/ https://www.ncbi.nlm.nih.gov/pubmed/29379262 http://dx.doi.org/10.6026/97320630013417 |
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author | Faisal, Ar-Rafi Md. Imtiaz, Syed Hassan Zerin, Tasnim Rahman, Tania Shekhar, Hossain Uddin |
author_facet | Faisal, Ar-Rafi Md. Imtiaz, Syed Hassan Zerin, Tasnim Rahman, Tania Shekhar, Hossain Uddin |
author_sort | Faisal, Ar-Rafi Md. |
collection | PubMed |
description | Lassa virus (LASV) is an arena virus causing hemorrhagic fever and it is endemic in several regions of West Africa. The disease-causing virus records high mortality rate in endemic regions due to lack of appropriate treatment and prevention strategies. Therefore, it is of interest to design and develop viable vaccine components against the virus. We used the Lassa virus envelope glyco-proteins as a vaccine target to identify linear peptides as potential epitopes with immunogenic properties by computer aided epitope prediction tools. We report a T-cell epitope 'LLGTFTWTL' and a B-cell epitope 'AELKCFGNTAVAKCNE' with predicted potential immunogenicity for further in vivo and in vitro consideration. |
format | Online Article Text |
id | pubmed-5767920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-57679202018-01-29 Computer aided epitope design as a peptide vaccine component against Lassa virus Faisal, Ar-Rafi Md. Imtiaz, Syed Hassan Zerin, Tasnim Rahman, Tania Shekhar, Hossain Uddin Bioinformation Hypothesis Lassa virus (LASV) is an arena virus causing hemorrhagic fever and it is endemic in several regions of West Africa. The disease-causing virus records high mortality rate in endemic regions due to lack of appropriate treatment and prevention strategies. Therefore, it is of interest to design and develop viable vaccine components against the virus. We used the Lassa virus envelope glyco-proteins as a vaccine target to identify linear peptides as potential epitopes with immunogenic properties by computer aided epitope prediction tools. We report a T-cell epitope 'LLGTFTWTL' and a B-cell epitope 'AELKCFGNTAVAKCNE' with predicted potential immunogenicity for further in vivo and in vitro consideration. Biomedical Informatics 2017-12-31 /pmc/articles/PMC5767920/ /pubmed/29379262 http://dx.doi.org/10.6026/97320630013417 Text en © 2017 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Hypothesis Faisal, Ar-Rafi Md. Imtiaz, Syed Hassan Zerin, Tasnim Rahman, Tania Shekhar, Hossain Uddin Computer aided epitope design as a peptide vaccine component against Lassa virus |
title | Computer aided epitope design as a peptide vaccine component against Lassa virus |
title_full | Computer aided epitope design as a peptide vaccine component against Lassa virus |
title_fullStr | Computer aided epitope design as a peptide vaccine component against Lassa virus |
title_full_unstemmed | Computer aided epitope design as a peptide vaccine component against Lassa virus |
title_short | Computer aided epitope design as a peptide vaccine component against Lassa virus |
title_sort | computer aided epitope design as a peptide vaccine component against lassa virus |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5767920/ https://www.ncbi.nlm.nih.gov/pubmed/29379262 http://dx.doi.org/10.6026/97320630013417 |
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