Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus in China (SARS-CoV-2)
Ye Feng, Min Qiu, Shengmei Zou, Yun Li, Kai Luo, Rongchang Chen, Yingqiang Sun, Kui Wang, Xinlei Zhuang, Shanshan Zhang, Shuqing Chen, Fan Mo
doi: https://doi.org/10.1101/2020.03.03.962332
Abstract
A new coronavirus SARS-CoV-2, recently discovered in Wuhan, China, has caused over 74000 infection cases and 2000 deaths. Due to the rapidly growing cases and the unavailability of specific therapy, there is a desperate need for vaccines to combat the epidemic of SARS-CoV-2. In the present study, we performed an in silico approach based on the available virus genome to identify the antigenic B-cell epitopes and human-leukocyte-antigen (HLA) restricted T-cell epitopes. A total of 61 B-cell epitopes were initially identified, 19 of which with higher potential immunogenicity were used for vaccine design.
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