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Bnm1 is a pollen specific protein from Brassica napus (oilseed rape) and it is specifically expressed in the bi-cellular and tri-cellular stages of pollen development. Since the incidence of pollinosis due to oilseed rape (Brassica napus) is increasing day by day, keeping pace with its high cultivation rate, the search for its allergens is a demand of time to develop effective immune therapy. In the present study, different computational tools were adopted to predict the potential of Bnm1 as a candidate allergen. Physicochemical properties of Bnm1 showed its molecular weight (~20kD) and theoretical pI (5.27) along with other properties to be fallen between the ranges essential for a protein to be an allergen. Keeping in mind the capability of allergen to induce both humoral and cell mediated immune response, we checked both the potential B cell and T cell epitope candidates of Bnm1 using different immune-informatics tools housed at IEDB analysis resource. For B cell epitope prediction, potential antigenic sites on the protein surface were predicted by both propensity scale and machine learning method followed by their mapping on Bnm1 3D structure predicted from homology modeling. In case of T cell epitope prediction, interaction of the core sequence with seven abundant MHC-II alleles (DRB1*0101, DRB1*0301, DRB1*0401, DRB1*0701, DRB1*1101, DRB1*1301 and DRB1*1501) within an IC50 range (IC50 |
