Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach.
Ontology highlight
ABSTRACT: Introduction: The current incidence of the novel coronavirus disease has shown only small reductions of cases and has become a major public health challenge. Development of effective vaccines against the virus is still being encouraged such as multi-epitope vaccines designed from the components of SARS-CoV-2 including its spike, nucleocapsid and ORF1a proteins. Since the addition of adjuvants including HABA protein and L7/L12 ribosomal are considered helpful to increase the effectiveness of the designed vaccine, we proposed to design multiepitope vaccines by two different adjuvants. Methods: We used the IEDB server to predict BCL and TCL epitopes that were characterized using online tools including VaxiJen, AllPred and IL-10 Prediction. The selected epitopes w
SUBMITTER: Ysrafil Y
PROVIDER: S-EPMC9376164 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
ACCESS DATA