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Cited by 265

The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.

Zika Virus Structure, Maturation, and Receptors

Open access
Sirohi, Devika, Kuhn, Richard J·2017·The Journal of Infectious Diseases

Abstract

The emergence of Zika virus (ZIKV) as a major public health threat has focused research on understanding virus biology and developing a suite of strategies for disease intervention. Recent advances in cryoelectron microscopy have accelerated structure-function studies of flaviviruses and of ZIKV in particular. Structures of the mature and immature ZIKV have demonstrated its similarity with other known flaviviruses such as dengue and West Nile viruses. However, ZIKV's unique pathobiology demands an explanation of how its structure, although similar to its flavivirus relatives, is sufficiently unique to address questions of receptor specificity, transmission, and antigenicity. Progress in defining the immunodominant epitopes and how neutralizing antibodies bind to them will provide great insight as vaccines progress through clinical trials. Identification of host receptors will substantially illuminate the interesting ZIKV tropism and provide insights into pathogenesis. Although the answers to all of these questions are not yet available, rapid progress in combining structural biology with other techniques is revealing the similarities and the differences in virion structure and function between ZIKV and related flaviviruses.

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Metadata

Authors
Sirohi, D., & Kuhn, R. J.
Venue
The Journal of Infectious Diseases
Published
2017-12-15
Volume
216
Issue
suppl_10
Pages
S935-S944
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W2774432119
Cited by
265
References
96
FWCI
16.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Zika Virus Structure, Maturation, and Receptors. https://app.cochat.ai/papers/10.1093/infdis/jix515
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Sirohi, D., & Kuhn, R. J. (2017). Zika Virus Structure, Maturation, and Receptors. The Journal of Infectious Diseases. https://doi.org/10.1093/infdis/jix515

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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.