Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.

Broadly neutralizing monoclonal antibodies effective against the majority of circulating isolates of HIV-1 have been isolated from a small number of infected individuals. Definition of the conformational epitopes on the HIV spike to which these antibodies bind is of great value in defining targets f...

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Autores principales:	Andrew L Ferguson, Emilia Falkowska, Laura M Walker, Michael S Seaman, Dennis R Burton, Arup K Chakraborty
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b75e57862cb246188f63415256146f2e
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spelling	oai:doaj.org-article:b75e57862cb246188f63415256146f2e2021-11-18T08:44:01ZComputational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.1932-620310.1371/journal.pone.0080562https://doaj.org/article/b75e57862cb246188f63415256146f2e2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24312481/?tool=EBIhttps://doaj.org/toc/1932-6203Broadly neutralizing monoclonal antibodies effective against the majority of circulating isolates of HIV-1 have been isolated from a small number of infected individuals. Definition of the conformational epitopes on the HIV spike to which these antibodies bind is of great value in defining targets for vaccine and drug design. Drawing on techniques from compressed sensing and information theory, we developed a computational methodology to predict key residues constituting the conformational epitopes on the viral spike from cross-clade neutralization activity data. Our approach does not require the availability of structural information for either the antibody or antigen. Predictions of the conformational epitopes of ten broadly neutralizing HIV-1 antibodies are shown to be in good agreement with new and existing experimental data. Our findings suggest that our approach offers a means to accelerate epitope identification for diverse pathogenic antigens.Andrew L FergusonEmilia FalkowskaLaura M WalkerMichael S SeamanDennis R BurtonArup K ChakrabortyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e80562 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andrew L Ferguson Emilia Falkowska Laura M Walker Michael S Seaman Dennis R Burton Arup K Chakraborty Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.
description	Broadly neutralizing monoclonal antibodies effective against the majority of circulating isolates of HIV-1 have been isolated from a small number of infected individuals. Definition of the conformational epitopes on the HIV spike to which these antibodies bind is of great value in defining targets for vaccine and drug design. Drawing on techniques from compressed sensing and information theory, we developed a computational methodology to predict key residues constituting the conformational epitopes on the viral spike from cross-clade neutralization activity data. Our approach does not require the availability of structural information for either the antibody or antigen. Predictions of the conformational epitopes of ten broadly neutralizing HIV-1 antibodies are shown to be in good agreement with new and existing experimental data. Our findings suggest that our approach offers a means to accelerate epitope identification for diverse pathogenic antigens.
format	article
author	Andrew L Ferguson Emilia Falkowska Laura M Walker Michael S Seaman Dennis R Burton Arup K Chakraborty
author_facet	Andrew L Ferguson Emilia Falkowska Laura M Walker Michael S Seaman Dennis R Burton Arup K Chakraborty
author_sort	Andrew L Ferguson
title	Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.
title_short	Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.
title_full	Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.
title_fullStr	Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.
title_full_unstemmed	Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.
title_sort	computational prediction of broadly neutralizing hiv-1 antibody epitopes from neutralization activity data.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/b75e57862cb246188f63415256146f2e
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Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.

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