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Cited by 398

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Hepatitis C Virus E2 Envelope Glycoprotein Core Structure

Open access
Kong, Leopold, Giang, Erick, Nieusma, Travis, Kadam, Rameshwar U., Cogburn, Kristin E., Hua, Yuanzi, Dai, Xiaoping, Stanfield, Robyn L., Burton, Dennis R., Ward, Andrew B., Wilson, Ian A., Law, Mansun·2013·Science

Abstract

Deciphering Hepatitis C: Hepatitis C virus is a major cause of liver disease and cancer. Two envelope glycoproteins, E1 and E2, form a heterodimer that facilitates infection. The envelope proteins have been difficult to crystallize, hindering vaccine development. Kong et al. (p. 1090 ) designed an E2 core glycoprotein construct and solved the crystal structure of the glycosylated protein in complex with a broadly neutralizing antibody. The host cell receptor binding site was identified by electron microscopy and mutagenesis. The findings should help in future drug and vaccine design.

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Crossref · 10.1126/science.1243876

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Metadata

Authors
Kong, L., Giang, E., Nieusma, T., Kadam, R. U., Cogburn, K. E., Hua, Y., Dai, X., Stanfield, R. L., Burton, D. R., Ward, A. B., Wilson, I. A., & Law, M.
Venue
Science
Published
2013-11-29
Volume
342
Issue
6162
Pages
1090-1094
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2064778609
Cited by
398
References
62
FWCI
27.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Hepatitis C Virus E2 Envelope Glycoprotein Core Structure. https://app.cochat.ai/papers/10.1126/science.1243876
The paper
Kong, L., Giang, E., Nieusma, T., Kadam, R. U., Cogburn, K. E., Hua, Y., Dai, X., Stanfield, R. L., Burton, D. R., Ward, A. B., Wilson, I. A., & Law, M. (2013). Hepatitis C Virus E2 Envelope Glycoprotein Core Structure. Science. https://doi.org/10.1126/science.1243876

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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.