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Prediction and analysis of B-cell epitopes of SARS-CoV-2 S protein |
ZHU Shanli, DING Ning, XIANG Dan, DONG Haiyan, XUE Xiangyang, ZHANG Lifang |
Department of Microbiology and Immunology, Institute of Molecular Virus and Immunology, Wenzhou Medical University, Wenzhou 325035, China |
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Cite this article: |
ZHU Shanli,DING Ning,XIANG Dan, et al. Prediction and analysis of B-cell epitopes of SARS-CoV-2 S protein[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2020, 50(3): 173-176.
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Abstract Objective: To predict the secondary structure and B-cell epitopes of S protein of SARS-CoV-2. Methods: The amino acids of SARS-CoV-2 S protein were selected, and the secondary structure was predicted by SOPMA and GOR methods. A combined comprehensive analysis of transmembrane domain, hydrophilicity profile, surface probability and antigenicity index was further made to predict B-cell epitopes of S protein. Results: Prediction of the secondary structure of SARS-CoV-2 S protein indicated that random coils were the main structural type of the flexible region in secondary structure. The predominant B-cell epitopes were probably in the regions of 354-360, 437-445, 454-471, 527-537, 567-582, 678-685, 772-779 and 806-818 amino acids. Conclusion: The B-cell epitope of SARS-CoV-2 S protein can be predicted by multi parameters, which lays foundations for further study of the function of S protein.
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