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Prediction of promiscuous T-cell epitopes in the Zika virus polyprotein: An in silico approach
Author(s) -
Hamza Arshad Dar,
Tahreem Zaheer,
Muhammad Talha Rehman,
Amjad Ali,
Aneela Javed,
Gohar Ayub Khan,
Mustafeez Mujtaba Babar,
Yasir Waheed
Publication year - 2016
Publication title -
asian pacific journal of tropical medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 52
ISSN - 1995-7645
DOI - 10.1016/j.apjtm.2016.07.004
Subject(s) - zika virus , in silico , epitope , virology , biology , computational biology , virus , genetics , antibody , gene
To predict immunogenic promiscuous T cell epitopes from the polyprotein of the Zika virus using a range of bioinformatics tools. To date, no epitope data are available for the Zika virus in the IEDB database.

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