In silico identification and characterization of putative kuruma prawn (Marsupenaeus japonicus) allergens

Kar Ee Hoh, Venkataramanan Swaminathan

Indian Journal of Allergy, Asthma and Immunology 2017 31(2):87-93

Background: Prawn is one of the major sources of shellfish allergens, which will induce mild to severe allergic reactions. Aim: The objective of this study was to predict putative allergens and its characteristics present in Marsupenaeus japonicus through an in silico approach. Materials And Methods: In this present study, in silico tools, RaptorX, Bepipred Linear Epitope and Parker Hydrophilicity Prediction method, and MHC2Pred were used to predict the putative and cross-reactive allergens, tertiary and secondary structures, B-cell linear epitopes, and T-cell epitopes, respectively. Results: As a result, eight putative and cross-reactive allergens including tropomyosin fast isoform, arginine kinase, sarcoplasmic calcium binding protein, myosin light chain, chymotrypsin like proteinase, superoxide dismutase, cathepsin B, and trypsin were predicted by analyzing the protein sequences of M. japonicus. Furthermore, five amino acids (Ala, Ser, Asn, Gly, and Lys) play a vital role in immunoglobulin E binding allergenic epitope. At least one of them was found in the predicted B-cell epitope for each of the predicted putative allergens. Moreover, the predicted T-cell epitopes were highly associated with human leukocyte antigen (HLA) DRB1*0101 and HLA-DRB1*0901 alleles while mediating T-cell immune responses. Conclusion: These results can be utilized to contribute in peptide immunotherapy and reduce the allergic diseases related to shellfish.

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