Multistate design of influenza antibodies improves affinity and breadth against seasonal viruses
Identifieur interne : 000065 ( Main/Exploration ); précédent : 000064; suivant : 000066Multistate design of influenza antibodies improves affinity and breadth against seasonal viruses
Auteurs : Alexander M. Sevy ; Nicholas C. Wu ; Iuliia M. Gilchuk ; Erica H. Parrish ; Sebastian Burger [Allemagne] ; Dina Yousif ; Marcus B. M. Nagel ; Kevin L. Schey ; Ian A. Wilson ; James E. Crowe ; Jens MeilerSource :
- Proceedings of the National Academy of Sciences of the United States of America [ 0027-8424 ] ; 2019.
Abstract
Influenza is an annual threat to global public health, in part because of constant antigenic drift that facilitates evasion of the antibody response. Rapid changes in the influenza HA protein make it difficult for an antibody to achieve broad activity against different virus subtypes. We developed a computational method that can optimize an antibody sequence to be robust against seasonal variation. As a proof of concept, we tested this method by redesigning a known antibody against a set of diverse HA antigens and showed that the variant redesigned antibodies have improved activity against the virus panel, as predicted. This work shows that computational design can improve naturally occurring antibodies for recognition of different virus strains.
Url:
DOI: 10.1073/pnas.1806004116
PubMed: 30642961
PubMed Central: 6358683
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><title>Significance</title>
<p>Influenza is an annual threat to global public health, in part because of constant antigenic drift that facilitates evasion of the antibody response. Rapid changes in the influenza HA protein make it difficult for an antibody to achieve broad activity against different virus subtypes. We developed a computational method that can optimize an antibody sequence to be robust against seasonal variation. As a proof of concept, we tested this method by redesigning a known antibody against a set of diverse HA antigens and showed that the variant redesigned antibodies have improved activity against the virus panel, as predicted. This work shows that computational design can improve naturally occurring antibodies for recognition of different virus strains.</p>
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<name sortKey="Wilson, Ian A" sort="Wilson, Ian A" uniqKey="Wilson I" first="Ian A." last="Wilson">Ian A. Wilson</name>
<name sortKey="Wu, Nicholas C" sort="Wu, Nicholas C" uniqKey="Wu N" first="Nicholas C." last="Wu">Nicholas C. Wu</name>
<name sortKey="Yousif, Dina" sort="Yousif, Dina" uniqKey="Yousif D" first="Dina" last="Yousif">Dina Yousif</name>
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<country name="Allemagne"><noRegion><name sortKey="Burger, Sebastian" sort="Burger, Sebastian" uniqKey="Burger S" first="Sebastian" last="Burger">Sebastian Burger</name>
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