Immunoinformatics study to search epitopes of spike glycoprotein from SARS-CoV-2 as potential vaccine

Autor: Correa-Basurto José, Martinez-Archundia Marlet, García-Machorro Jazmín, Ramírez-Salinas Gema Lizbeth
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Biomolecular Structure and Dynamics
Journal of Biomolecular Structure & Dynamics
ISSN: 1538-0254
0739-1102
DOI: 10.1080/07391102.2020.1780944
Popis: The Coronavirus disease named COVID-19 is caused by the virus reported in 2019 first identified in China. The cases of this disease have increased and as of June 1st, 2020 there are more than 216 countries affected. Pharmacological treatments have been proposed based on the resemblance of the HIV virus. With regard to prevention there is no vaccine, thus, we proposed to explore the spike protein due to its presence on the viral surface, and it also contains the putative viral entry receptor as well as the fusion peptide (important in the genome release). In this work we have employed In Silico techniques such as immunoinformatics tools which permit the identification of potential immunogenic regions on the viral surface (spike glycoprotein). From these analyses, we identified four epitopes E332-370, E627-651, E440-464 and E694-715 that accomplish essential features such as promiscuity, conservation grade, exposure and universality, and they also form stable complexes with MHCII molecule. We suggest that these epitopes could generate a specific immune response, and thus, they could be used for future applications such as the design of new epitope vaccines against the SARS-CoV-2. Communicated by Ramaswamy H. Sarma
Databáze: OpenAIRE