TY - JOUR JF - vacres JO - vacres VL - 8 IS - 1 PY - 2021 Y1 - 2021/6/01 TI - Assembling the Most Antigenic Peptides of COVID-19 Immunogenic Proteins Along with a Molecular Adjuvant to Develop a Novel Polyepitope Vaccine: a Bioinformatics Investigation TT - N2 - Introduction: Many countries are presently concerned about providing a safe vaccine with minimal side-effects against COVID 19. Here, we aimed to develop a multiepitope vaccine by utilization of spike, envelope, nucleocapsid and membrane proteins of SARS-CoV-2 virus. Methods: Online servers were employed for forecasting the most robust B-cell, T-cell and IFN-γ epitopes to stimulate the immune system. Then the top selected epitopes alongside the sequence of Heparin-Binding Hemagglutinin Adhesin (HBHA) protein were applied to design a novel multiepitope vaccine, bioinformatically. The physicochemical characteristics and the protein structures of the proposed vaccine were defined using online tools. The docking process between Toll-like Receptor 4/Myeloid Differentiation Factor 2 (TLR4/MD2 receptor) and the designed recombinant structure was also investigated. Results: The designed construct had -0.210 GRAVY and 36.39 instability indices which make it theoretically stable. The designed construct was predicted to be soluble and non-allergenic. The approximate half-life of the proposed structure was computed 30 hours in mammalian reticulocytes and more than 10 hours in Escherichia coli. In its tertiary structure, 93% of the residues were in the core region and had a score of 52.73 for 3D verification and -5.55 for Z-score. Protein-protein docking of HBHA and TLR4/MD2 receptor was successful with the lowest energy of -1310.6 kcal/mol. Conclusion: The bioinformatics evaluations indicate that the designed structure is stable and immunogenic for development of a protein-based subunit vaccine against COVID-19. SP - 36 EP - 46 AU - Shams, Nemat AU - nazifi, narges AU - Forouharmehr, Ali AU - jaydari, Amin AU - rashidian, Ehsan AD - Department of pathobiology, Faculty of Veterinary Medicine, Lorestan University, Khorramabad, Iran KW - SARS-CoV-2 KW - COVID-19 KW - Epitope Prediction KW - HBHA KW - Poly-Epitope Vaccine UR - http://vacres.pasteur.ac.ir/article-1-265-en.html DO - 10.52547/vacres.8.1.36 ER -