Large-scale analysis of B-cell epitopes of envelope: Implications for Zika vaccine and immunotherapeutic development

  • Almansour I
  • Alfares R
  • Aljofi H
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Abstract

Background: Cases of the re-emergence of Zika virus in 2015 were associated with severe neurologic complications, including Gillien-Barre syndrome in adults and congenital Zika syndrome in newborns. The major structural determinant of immunity to the Zika virus is the E protein. Although B-cell epitopes of Zika E protein were recently identified, data regarding epitope variations among Zika strains in pre-epidemic and epidemic periods are lacking. Methods: Here, we conducted systematic bioinformatics analyses of Zika strains isolated between 1968 and 2017. Multiple sequence alignment of E protein as well as B-cell epitopes annotations were performed. In addition, homology-based approach was utilized to construct three-dimensional structures of monomeric E glycoproteins to annotate epitope variations. Lastly, of N -glycosylation patterns and prediction of protein stability upon mutations were also investigated. Results: Our analyses indicates that epitopes recognized by human mAbs ZIKV-117, ZIKV-15, and ZIKV-119 were highly conserved, suggesting as attractive targets for the development of vaccines and immunotherapeutics directed against diverse Zika strains. In addition, the epitope recognized by ZIKV-E-2A10G6 mAb derived from immunized mice was highly conserved across Zika strains. Conclusions: Our data provide new insights regarding antigenic similarities between Zika strains circulating worldwide. These data are essential for understanding the impact of evolution on antigenic cross-reactivity between Zika lineages and strains. Further in-vitro analyses are needed to determine how mutations could impact the development of vaccines that can effectively neutralize Zika viruses.

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Almansour, I., Alfares, R., & Aljofi, H. (2018). Large-scale analysis of B-cell epitopes of envelope: Implications for Zika vaccine and immunotherapeutic development. F1000Research, 7, 1624. https://doi.org/10.12688/f1000research.16454.1

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