Prediction of Conformational and Linear B-Cell Epitopes on Envelop Protein of Zika Virus Using Immunoinformatics Approach-Reference-Cited by-同舟云学术

Prediction of Conformational and Linear B-Cell Epitopes on Envelop Protein of Zika Virus Using Immunoinformatics Approach

Published:2023-01-09 Issue:1 Volume:29 Page:
ISSN:1573-3904
Container-title:International Journal of Peptide Research and Therapeutics
language:en
Short-container-title:Int J Pept Res Ther

Author:

Srivastava Kirti,Srivastava Vivek

Publisher

Springer Science and Business Media LLC

Subject

Drug Discovery,Molecular Medicine,Biochemistry,Bioengineering,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s10989-022-10486-y.pdf

Reference42 articles.

1. Ashfaq UA, Ahmed B (2016) De novo structural modeling and conserved epitopes prediction of Zika virus envelop protein for vaccine development. Viral Immunol 29:436–443

2. Badawi MM et al (2016) Highly conserved epitopes of ZIKA envelope glycoprotein may act as a novel peptide vaccine with high coverage: immunoinformatics approach. Am J Biomedical Res 4(3):46–60

3. Chen HZ, Tang LL, Yu XL et al (2020) Bioinformatics analysis of epitope-based vaccine design against the novel SARS-CoV-2. Infect Dis Poverty 9:88

4. Dar Het al et al (2016) Prediction of promiscuous T-cell epitopes in the Zika virus polyprotein: an in silico approach. Asian Pac J Trop Med 9(9):844–850

5. Dikhit MR et al (2016) Computational prediction and analysis of potential antigenic CTL epitopes in Zika virus: a first step towards vaccine development. Infect Genet Evol 45:187–197

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