Literature DB >> 30790057

Conserved peptide vaccine candidates containing multiple Ebola nucleoprotein epitopes display interactions with diverse HLA molecules.

Sahil Jain1, Manoj Baranwal2.   

Abstract

Immunoinformatics has come by leaps and bounds to finding potent vaccine candidates against various pathogens. In the current study, a combination of different T (CD4+ and CD8+) and B cell epitope prediction tools was applied to find peptides containing multiple epitopes against Ebola nucleoprotein (NP) and the presentation of peptides to human leukocyte antigen (HLA) molecules was analyzed by prediction, docking and population coverage tools. Further, potential peptides were analyzed by ELISA for peptide induced IFN-γ secretion in peripheral blood mononuclear cells isolated from healthy volunteers. Six peptides were obtained after merging the overlapping multiple HLA I (CD8+) and II (CD4+) restricted T cell epitopes as well as B cell epitopes and eliminating the peptides liable to generate autoimmune and allergic response. All peptides displayed 100% conservancy in Zaire ebolavirus. In other Ebola virus species (Sudan, Bundibugyo and Taï forest) and Filoviridae members (Lloviuvirus and Margburgvirus), some peptides were found to be conserved with minor variations. Prediction tools confirmed the ability of predicted peptides to bind with diverse HLA (HLA-A, HLA-B, HLA-DP, HLA-DQ and HLA-DR) alleles. CABS-dock results displayed that the average root mean square deviation (RMSD) value was less than three in majority of cases representing strong binding affinity with HLA alleles. Population coverage analysis predicted high coverage (> 85%) for expected immune response in four continents (Africa, America, Asia and Europe). Nine out of ten blood samples exhibited enhanced IFN-γ secretion for two peptides (P2 and P3). Thus, the identified NP peptides can be considered as potential synthetic vaccine candidates against Ebola virus.

Entities:  

Keywords:  Conservation analysis; Ebola nucleoprotein; Epitope-based vaccine; HLA alleles; Molecular docking

Mesh:

Substances:

Year:  2019        PMID: 30790057     DOI: 10.1007/s00430-019-00584-y

Source DB:  PubMed          Journal:  Med Microbiol Immunol        ISSN: 0300-8584            Impact factor:   3.402


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