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  1. Article ; Online: SARS-CoV-2 mutations and where to find them: an

    Gonçalves, Ricardo Lemes / Leite, Túlio César Rodrigues / Dias, Bruna de Paula / Caetano, Camila Carla da Silva / de Souza, Ana Clara Gomes / Batista, Ubiratan da Silva / Barbosa, Camila Cavadas / Reyes-Sandoval, Arturo / Coelho, Luiz Felipe Leomil / Silva, Breno de Mello

    Journal of biomolecular structure & dynamics

    2020  Volume 40, Issue 7, Page(s) 3336–3346

    Abstract: Communicated by Ramaswamy H. Sarma. ...

    Abstract Communicated by Ramaswamy H. Sarma.
    MeSH term(s) COVID-19 ; Humans ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Mutation ; SARS-CoV-2/genetics ; Spike Glycoprotein, Coronavirus/chemistry ; Spike Glycoprotein, Coronavirus/genetics ; Spike Glycoprotein, Coronavirus/metabolism
    Chemical Substances Spike Glycoprotein, Coronavirus ; spike protein, SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-11-06
    Publishing country England
    Document type Letter ; Research Support, Non-U.S. Gov't
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1844052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: SARS-CoV-2 mutations and where to find them

    Gonçalves, Ricardo Lemes / Leite, Túlio César Rodrigues / Dias, Bruna de Paula / Caetano, Camila Carla da Silva / de Souza, Ana Clara Gomes / Batista, Ubiratan da Silva / Barbosa, Camila Cavadas / Reyes-Sandoval, Arturo / Coelho, Luiz Felipe Leomil / Silva, Breno de Mello

    Journal of Biomolecular Structure and Dynamics

    an in silico perspective of structural changes and antigenicity of the spike protein

    2020  , Page(s) 1–11

    Keywords Molecular Biology ; Structural Biology ; General Medicine ; covid19
    Language English
    Publisher Informa UK Limited
    Publishing country uk
    Document type Article ; Online
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1844052
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: SARS-CoV-2 mutations and where to find them: An in silico perspective of structural changes and antigenicity of the Spike protein

    Gonçalves, Ricardo Lemes / Rodrigues Leite, Túlio César / de Paula Dias, Bruna / da Silva Caetano, Camila Carla / de Souza, Ana Clara Gomes / da Silva Batista, Ubiratan / Barbosa, Camila Cavadas / Reyes-Sandoval, Arturo / Leomil Coelho, Luiz Felipe / de Mello Silva, Breno

    bioRxiv

    Abstract: The recent emergence of a novel coronavirus (SARS-CoV-2) is causing a severe global health threat characterized by severe acute respiratory syndrome (Covid-19). At the moment, there is no specific treatment for this disease, and vaccines are still under ... ...

    Abstract The recent emergence of a novel coronavirus (SARS-CoV-2) is causing a severe global health threat characterized by severe acute respiratory syndrome (Covid-19). At the moment, there is no specific treatment for this disease, and vaccines are still under development. The structural protein Spike is essential for virus infection and has been used as the main target for vaccine and serological diagnosis test development. We analysed 2363 sequences of the Spike protein from SARS-CoV-2 isolates and identified variability in 44 amino acid residues and their worldwide distribution in all continents. We used the three-dimensional structure of the homo-trimer model to predict conformational epitopes of B-cell, and sequence of Spike protein Wuhan-Hu-1 to predict linear epitopes of T-Cytotoxic and T-Helper cells. We identified 45 epitopes with amino acid variations. Finally, we showed the distribution of mutations within the epitopes. Our findings can help researches to identify more efficient strategies for the development of vaccines, therapies, and serological diagnostic tests based on the Spike protein of Sars-Cov-2.
    Keywords covid19
    Publisher BioRxiv
    Document type Article ; Online
    DOI 10.1101/2020.05.21.108563
    Database COVID19

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