title: Design and Antigenic Epitopes Prediction of a New Trial Recombinant Multiepitopic Rotaviral Vaccine: In Silico Analyses.
abstract: 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.
authors.affiliation: Department of Genetics, Faculty of Science, Shahrekord University , Shahrekord, Iran .
authors.forename: Sima
authors.initials: S
authors.lastname: Jafarpour
authors.affiliation: Department of Genetics, Faculty of Science, Shahrekord University , Shahrekord, Iran .
authors.forename: Hoda
authors.initials: H
authors.lastname: Ayat
authors.affiliation: Department of Genetics, Faculty of Science, Shahrekord University , Shahrekord, Iran .
authors.forename: Ali Mohammad
authors.initials: AM
authors.lastname: Ahadi
mesh_terms: D019295:Computational Biology; D000939:Epitopes / Q000235:genetics / Q000276:immunology*; D006801:Humans; D011993:Recombinant Fusion Proteins / Q000235:genetics / Q000276:immunology; D022243:Rotavirus Vaccines / Q000235:genetics / Q000276:immunology*; D014614:Vaccines, Synthetic / Q000235:genetics / Q000276:immunology
chemical_list: D000939:Epitopes; D011993:Recombinant Fusion Proteins; D022243:Rotavirus Vaccines; D014614:Vaccines, Synthetic