Apart from the above T cell epitope prediction, B cell linear epitopes peptides or epitope residues were also predicted by two tools including LBtope server (Singh et al. 2013) and BepiPred2.0 server (Jespersen et al. 2017). In LBtope server, all the available k-mer peptides split from the input protein by sliding window were screened. The probability score of each peptide to serve as a linear epitope was calculated. In this model, the k-mer was defined as the defaulting setting of 15-mer. The possible linear epitope peptides were defined with the cutoff of percent probability for correct prediction setting as 60%. For protein P, the LBtope score B1P was calculated as:

where the epi_pep refers to the predicted linear peptide by LBtope for protein P.N(epi_pep) represents the number of predicted peptides. And len(P) represents the number of amino acids in protein P.

In the calculation of BepiPred1.0, the results were predicted whether each residue in the input protein could serve as epitope residues. Thus, for protein P, the score for BepiPred B2P was defined as formula (4).

In which the N(epi_rsd) represented the number of epitope residues which was predicted by BepiPred for protein P. And len(P) represented the length of protein P.

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