Computational identification of antibody epitopes on the dengue virus NS1 protein

Jones, Martina L., Legge, Fiona S., Lebani, Kebaneilwe, Mahler, Stephen M., Young, Paul R., Watterson, Daniel, Treutlein, Herbert R. and Zeng, Jun (2017) Computational identification of antibody epitopes on the dengue virus NS1 protein. Molecules, 22 4: . doi:10.3390/molecules22040607


Author Jones, Martina L.
Legge, Fiona S.
Lebani, Kebaneilwe
Mahler, Stephen M.
Young, Paul R.
Watterson, Daniel
Treutlein, Herbert R.
Zeng, Jun
Title Computational identification of antibody epitopes on the dengue virus NS1 protein
Journal name Molecules   Check publisher's open access policy
ISSN 1420-3049
Publication date 2017-04-10
Sub-type Article (original research)
DOI 10.3390/molecules22040607
Open Access Status DOI
Volume 22
Issue 4
Total pages 21
Place of publication Basel, Switzerland
Publisher MDPI
Collection year 2018
Language eng
Abstract We have previously described a method to predict antigenic epitopes on proteins recognized by specific antibodies. Here we have applied this method to identify epitopes on the NS1 proteins of the four Dengue virus serotypes (DENV1–4) that are bound by a small panel of monoclonal antibodies 1H7.4, 1G5.3 and Gus2. Several epitope regions were predicted for these antibodies and these were found to reflect the experimentally observed reactivities. The known binding epitopes on DENV2 for the antibodies 1H7.4 and 1G5.3 were identified, revealing the reasons for the serotype specificity of 1H7.4 and 1G5.3, and the non-selectivity of Gus2. As DENV NS1 is critical for virus replication and a key vaccine candidate, epitope prediction will be valuable in designing appropriate vaccine control strategies. The ability to predict potential epitopes by computational methods significantly reduces the amount of experimental work required to screen peptide libraries for epitope mapping.
Keyword Antibody Epitopes
Computational modeling
Dengue virus
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article number 607

 
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Created: Fri, 21 Apr 2017, 11:35:24 EST by Mrs Louise Nimwegen on behalf of School of Chemistry & Molecular Biosciences