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Title |
Computer aided epitope design as a peptide vaccine component against Lassa virus
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Authors |
Ar-Rafi Md. Faisal1, $,
Syed Hassan Imtiaz2, $, Tasnim Zerin1, Tania
Rahman1, Hossain Uddin
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Affiliation |
1Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh; 2Department of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka-1000, Bangladesh;
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Article Type |
Hypothesis
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Date |
Received November 26, 2017; Revised December 5, 2017; Accepted December 5, 2017; Published December 31, 2017;
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Abstract |
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.
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Keywords |
Lassa virus, envelope glycoprotein, epitope-based vaccine
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Citation |
Faisal et al. Bioinformation 13(12): 417-429 (2017)
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
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.
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