This study aims to design epitope-based peptides for the utility of vaccine development by targeting glycoprotein G and envelope\nprotein F ofNipah virus (NiV) that, respectively, facilitate attachment and fusion ofNiV with host cells.Using various databases and\ntools,immune parameters of conserved sequence(s) fromGand F proteins of different isolates ofNiVwere tested to predict probable\nepitope(s). Binding analyses of the peptides with MHC class-I and class-II molecules, epitope conservancy, population coverage,\nand linear B cell epitope prediction were analyzed. Predicted peptides interacted with seven or more MHC alleles and illustrated\npopulation coverage of more than 99% and 95%, for G and F proteins, respectively. The predicted class-I nonamers, SLIDTSSTI\nand EWISIVPNF, superimposed on the putative decameric B cell epitopes, were also identified as core sequences of the most\nprobable class-II 15-mer peptides GPKVSLIDTSSTITI and EWISIVPNFILVRNT. These peptides were further validated for their\nbinding to specific HLA alleles using in silico docking technique. Our in silico analysis suggested that the predicted epitopes, either\nGPKVSLIDTSSTITI or EWISIVPNFILVRNT, could be a better choice as universal vaccine component against NiV irrespective of\ndifferent isolates which may elicit both humoral and cell-mediated immunity.
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