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Cited by 253

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Immunization by Avian H5 Influenza Hemagglutinin Mutants with Altered Receptor Binding Specificity

Open access
Yang, Zhi-Yong, Wei, Chih-Jen, Kong, Wing-Pui, Wu, Lan, Xu, Ling, Smith, David F., Nabel, Gary J.·2007·Science

Abstract

Influenza virus entry is mediated by the receptor binding domain (RBD) of its spike, the hemagglutinin (HA). Adaptation of avian viruses to humans is associated with HA specificity for α2,6- rather than α2,3-linked sialic acid (SA) receptors. Here, we define mutations in influenza A subtype H5N1 (avian) HA that alter its specificity for SA either by decreasing α2,3- or increasing α2,6-SA recognition. RBD mutants were used to develop vaccines and monoclonal antibodies that neutralized new variants. Structure-based modification of HA specificity can guide the development of preemptive vaccines and therapeutic monoclonal antibodies that can be evaluated before the emergence of human-adapted H5N1 strains.

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Crossref · 10.1126/science.1135165

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Metadata

Authors
Yang, Z.-Y., Wei, C.-J., Kong, W.-P., Wu, L., Xu, L., Smith, D. F., & Nabel, G. J.
Venue
Science
Published
2007-08-10
Volume
317
Issue
5839
Pages
825-828
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2031908280
Cited by
253
References
1
FWCI
12.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Immunization by Avian H5 Influenza Hemagglutinin Mutants with Altered Receptor Binding Specificity. https://app.cochat.ai/papers/10.1126/science.1135165
The paper
Yang, Z.-Y., Wei, C.-J., Kong, W.-P., Wu, L., Xu, L., Smith, D. F., & Nabel, G. J. (2007). Immunization by Avian H5 Influenza Hemagglutinin Mutants with Altered Receptor Binding Specificity. Science. https://doi.org/10.1126/science.1135165

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.