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Quantitative Computational Prediction of the Consensus B-cell Epitopes of 2019-nCoV

Abstract : The goal of this paper is to obtain the numerical consensus of B cell epitopes from the three-dimensional structure of the prefusion spike glycoprotein of the new betacoronavirus that could lead to the development of a vaccine to 2019-nCoV. In order to do that, we first calculated the B-cell epitopes that are predicted using fourteen different mathematical algorithms. Later, we obtained the consensus of B-cell epitopes according to the Similarity Index, and finally selecting the best candidates according to the results of a function called which is evaluated for the glycoprotein. The best candidates that we obtained in order to design a vaccine are SSANNCT, PLQSYGFQPT, TESNKKFLP, NNSYEC, AENS, LPDPSK and YDPLQPE.
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Submitted on : Monday, January 10, 2022 - 2:55:29 PM
Last modification on : Friday, January 21, 2022 - 3:41:25 PM
Long-term archiving on: : Monday, April 11, 2022 - 11:25:25 PM

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Raúl Isea. Quantitative Computational Prediction of the Consensus B-cell Epitopes of 2019-nCoV. Journal of Current Viruses and Treatment Methodologies, Open Access Pub, 2020, 1 (1), pp.42 - 47. ⟨10.14302/issn.2691-8862.jvat-20-3278⟩. ⟨hal-03519489⟩

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