Show simple item record

dc.contributor.authorEnayatkhani, Maryam, et al.
dc.date.accessioned2020-04-30T20:56:11Z
dc.date.available2020-04-30T20:56:11Z
dc.date.issued2020-04-15
dc.identifier.urihttps://doi.org/10.1080/07391102.2020.1756411en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12663/1263
dc.description.abstractAt present, novel Coronavirus (2019-nCoV, the causative agent of COVID-19) has caused worldwide social and economic disruption. The disturbing statistics of this infection promoted us to develop an effective vaccine candidate against the COVID-19. In this study, bioinformatics approaches were employed to design and introduce a novel multi-epitope vaccine against 2019-nCoV that can potentially trigger both CD4+ and CD8+ T-cell immune responses and investigated its biological activities by computational tools. Three known antigenic proteins (Nucleocapsid, ORF3a, and Membrane protein, hereafter called NOM) from the virus were selected and analyzed for prediction of the potential immunogenic B and T-cell epitopes and then validated using bioinformatics tools. Based on in silico analysis, we have constructed a multi-epitope vaccine candidate (NOM) with five rich-epitopes domain including highly scored T and B-cell epitopes. After predicting and evaluating of the third structure of the protein candidate, the best 3D predicted model was applied for docking studies with Toll-like receptor 4 (TLR4) and HLA-A*11:01. In the next step, molecular dynamics (MD) simulation was used to evaluate the stability of the designed fusion protein with TLR4 and HLA-A*11:01 receptors. MD studies demonstrated that the NOM-TLR4 and NOM-HLA-A*11:01 docked models were stable during simulation time. In silico evaluation showed that the designed chimeric protein could simultaneously elicit humoral and cell-mediated immune responses.en_US
dc.languageEnglishen_US
dc.subjectCOVID-19en_US
dc.subjectCoronavirusen_US
dc.subjectInfectious Diseasesen_US
dc.subjectVaccinationen_US
dc.subjectEpitopesen_US
dc.titleReverse vaccinology approach to design a novel multi-epitope vaccine candidate against COVID-19: an in silico studyen_US
eihealth.countryOthersen_US
eihealth.categoryCandidate vaccines RDen_US
eihealth.typePublished Articleen_US
eihealth.maincategorySave Lives / Salvar Vidasen_US
dc.relation.ispartofjournalJournal of Biomolecular Structure and Dynamicsen_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record