Characterization of immunomodulatory B-cells and T-cells to generate extremely targeted immunoassays and vaccines

Abstract

Introduction: The Rubella virus has worldwide occurrence and congenital Rubella syndrome are widely recognized as emerging infection in several parts of the world. Methodology: We investigated for peptide vaccine with specific T and B-cell epitopes was identified through bioinformatics-based approaches. These were identified utilizing available Rubella virus E1 glycoprotein sequence databases. The outer-membrane glycoprotein, E1 is a target protein for the prediction of best antigens. Results: The bioinformatics online software Bepipred 2 was used for prediction of potential B-cell epitope (pfcntphgqlevqvppdpgd) was identified and it has shown high conversation against E1 glycoprotein and few other bioinformatics online software NetMHCpan, IEDB and NetCTL was used to identify maximum surface-exposed residues. T-Cell epitope (rpvalpral) was identified and shown to be conserved to E1 Glycoprotein. Predicted epitopes were found to had promiscuous class-I major histocompatibility complex binding affinity to major histocompatibility complex super types, antigenicity scores and high proteasomal cleavage. The three-dimensional modelled structures was created using I-TASSER online server for highlighting the predicted T- and B- cell epitopes. Conclusion: The predicted T and B cell epitope could be used for development of immunoglobulin assay and vaccines.