Designing a Novel Multi-Epitope Vaccine against SARS-CoV-2; Implication for Viral Binds and Fusion Inhibition through Inducing Neutralizing Antibodies
Mohammadzadeh Hosseini Moghri, S. A. H.; Ranjbar, M.; Hassannia, H.; Khakdan, F.
Show abstract
Recently the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a pervasive threat to public health so it is an emergency to vaccine development. The SARS-CoV-2 spike (S) glycoprotein plays a vital role in binds and fusion to the angiotensin-converting enzyme 2 (ACE2). The multi-epitope peptide vaccines are capable of inducing the specific humoral or cellular immune responses. In this regard, the RBD and spike cleavage site is the most probable target for vaccine development to inducing binds and fusion inhibitors neutralizing antibodies. In the present study, several immunoinformatics tools are used for analyzing the spike (S) glycoprotein sequence including the prediction of the potential linear B-cell epitopes, B-cell multi-epitope design, secondary and tertiary structures, physicochemical properties, solubility, antigenicity, and allergenicity for the promising vaccine candidate against SARS-CoV-2.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Immuno-informatics Design of a Multimeric Epitope Peptide Based Vaccine Targeting SARS-CoV-2 Spike Glycoprotein 98%
- Design of multi-epitope vaccine candidate against Brucella type IV secretion system (T4SS) 97%
- Designing of a next generation multiepitope based vaccine (MEV) against SARS-COV-2: Immunoinformatics and in silico approaches 97%
Similar papers in this journal
- Attenuated Subcomponent Vaccine Design Targeting the SARS-CoV-2 Nucleocapsid Phosphoprotein RNA Binding Domain: In silico analysis 98%
- Design of Epitope Based Peptide Vaccine Against Pseudomonas Aeruginosa Fructose Bisphosphate Aldolase Protein using Immunoinformatics 97%
- Epitope-based peptide vaccine against glycoprotein G of Nipah henipavirus using immunoinformatics approaches 97%
Similar papers in this journal
- Contriving a chimeric polyvalent vaccine to prevent infections caused by Herpes Simplex Virus (Type-1 and Type-2): an exploratory immunoinformatic approach 98%
- Computationally validated SARS-CoV-2 CTL and HTL Multi-Patch Vaccines designed by reverse epitomics approach, shows potential to cover large ethnically distributed human population worldwide 97%
- Immunoinformatic and dynamic simulation-based designing of a multi-epitope vaccine against emerging pathogen Elizabethkingia anophelis 96%
Similar papers in this journal
- Immuno-informatics Study Identifies Conserved T Cell Epitopes in Non-structural Proteins of Bluetongue Virus Serotypes: Formulation of Computationally Optimized Next-Generation Broad-spectrum Multiepitope Vaccine 96%
- Deciphering the rule of antigen-antibody amino acid interaction 95%
- Immunodominant and neutralizing linear B cell epitopes spanning the spike and membrane proteins of Porcine Epidemic Diarrhea Virus 94%
Similar papers in this journal
- Immunogenicity and adverse events of priming with inactivated whole SARS-CoV-2 vaccine (CoronaVac) followed by boosting the ChAdOx1 nCoV-19 vaccine 94%
- Production of SARS-CoV-2 virus-like particles in insect cells 93%
- Prediction of SARS-CoV-2 Omicron Variant Immunogenicity, Immune Escape and Pathogenicity, through Analysis of Spike Protein-specific Core Unique Peptides 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.