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ISSN: 2161-0703

Journal of Medical Microbiology & Diagnosis
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Research Article

An Immuno-Bioinformatic Analysis of Zika virus (ZIKV) Envelope E Protein

Joel K Weltman*

Alpert Medical School, Brown University, USA

Corresponding Author:
Joel K Weltman
Clinical Professor Emeritus of Medicine
Alpert Medical School, Brown University
Providence, RI 02912, USA
Tel: 401- 2457588
E-mail: [email protected]

Received date: April 04, 2016; Accepted date: April 25, 2016; Published date: May 03, 2016

Citation: Weltman JK (2016) An Immuno-Bioinformatic Analysis of Zika virus (ZIKV) Envelope E Protein. J Med Microb Diagn 5:228. doi:10.4172/2161-0703.1000228

Copyright: © 2016 Weltman JK. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

By means of the combined use of B cell epitope prediction (Bepipred) and measurement of information entropy (H) in envelope (E) protein of Zika virus (ZIKV) isolated from infected humans, five amino acid sequences were identified as containing probable epitopes. These five predicted epitopic sequences contained nine amino acid positions where H>0.0. It is proposed that some of the observed entropic positions may reflect mutational escape of the ZIKV from the immune response of the infected host and that such information, applied together with conventional epitope prediction, can guide and facilitate design of anti-ZIKV vaccines.

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