Sequence-Signature Optimization Enables Improved Identification of Human HV6-1-Derived Class Antibodies That Neutralize Diverse Influenza A Viruses

Sequence-Signature Optimization Enables Improved Identification of Human HV6-1-Derived Class Antibodies That Neutralize Diverse Influenza A Viruses

Sequence signatures of multidonor broadly neutralizing influenza antibodies can be used to quantify the prevalence of B cells with virus-neutralizing potential to accelerate development of broadly protective vaccine strategies. Antibodies of the same class share similar recognition modes and develop...

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Bibliographic Details
Main Authors: Gwo-Yu Chuang, Chen-Hsiang Shen, Crystal Sao-Fong Cheung, Jason Gorman, Adrian Creanga, M. Gordon Joyce, Kwanyee Leung, Reda Rawi, Lingshu Wang, Eun Sung Yang, Yongping Yang, Baoshan Zhang, Yi Zhang, Masaru Kanekiyo, Tongqing Zhou, Brandon J. DeKosky, Barney S. Graham, John R. Mascola, Peter D. Kwong
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Immunology
Subjects:
antibody identification
hemagglutinin stem
influenza
iterative optimization
multidonor class antibody
neutralizing antibody
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.662909/full

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https://www.frontiersin.org/articles/10.3389/fimmu.2021.662909/full

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