Design and Antigenic Epitopes Prediction of a New Trial Recombinant Multiepitopic Rotaviral Vaccine: In Silico Analyses

• Published in: Viral immunology Vol. 28; no. 6; pp. 325 - 330
• Main Authors: Jafarpour, Sima, Ayat, Hoda, Ahadi, Ali Mohammad
• Format: Journal Article
• Language: English
• Published: United States Mary Ann Liebert, Inc 01.07.2015
• Subjects: Bioinformatics; Computational Biology; Computer applications; Developing countries; Diarrhea; Epitopes; Epitopes - genetics; Epitopes - immunology; Fusion protein; Genomes; Humans; Humoral immunity; Infections; LDCs; Licenses; Lymphocytes B; Mathematical models; Original Research Articles; Original s; Peptides; Proteins; Recombinant Fusion Proteins - genetics; Recombinant Fusion Proteins - immunology; Rotavirus; Rotavirus Vaccines - genetics; Rotavirus Vaccines - immunology; Studies; Vaccines; Vaccines, Synthetic - genetics; Vaccines, Synthetic - immunology; Viruses
• ISSN: 0882-8245; 1557-8976
• DOI: 10.1089/vim.2014.0152

Rotavirus is the major etiologic factor of severe diarrheal disease. Natural infection provides protection against subsequent rotavirus infection and diarrhea. This research presents a new vaccine designed based on computational models. In this study, three types of epitopes are considered—linear, conformational, and combinational—in a proposed model protein. Several studies on rotavirus vaccines have shown that VP6 and VP4 proteins are good candidates for vaccine production. In the present study, a fusion protein was designed as a new generation of rotavirus vaccines by bioinformatics analyses. This model-based study using ABCpred, BCPREDS, Bcepred, and Ellipro web servers showed that the peptide presented in this article has the necessary properties to act as a vaccine. Prediction of linear B-cell epitopes of peptides is helpful to investigate whether these peptides are able to activate humoral immunity.