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Cited by 346

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Structural analysis of full-length SARS-CoV-2 spike protein from an advanced vaccine candidate

Open access
Bangaru, Sandhya, Ozorowski, Gabriel, Turner, Hannah L., Antanasijevic, Aleksandar, Huang, Deli, Wang, Xiaoning, Torres, Jonathan L., Diedrich, Jolene K., Tian, Jing-Hui, Portnoff, Alyse D., Patel, Nita, Massare, Michael J., Yates, John R., Nemazee, David, Paulson, James C., Glenn, Greg, Smith, Gale, Ward, Andrew B.·2020·Science

Abstract

Structure of a vaccine candidate: Much effort is being targeted at developing vaccines that will provide protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A trimeric spike protein that decorates the virus is a primary target of the host immune system and the focus of vaccine development. Bangaru et al. present the structure of a leading vaccine candidate: a full-length spike protein with some modifications aimed at enhancing stability that is formulated in polysorbate 80 detergent. The study confirms that the full-length immunogen is in a stable prefusion conformation and provides a basis for understanding immune responses to the vaccine. Science , this issue p. 1089

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Crossref · 10.1126/science.abe1502

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Metadata

Authors
Bangaru, S., Ozorowski, G., Turner, H. L., Antanasijevic, A., Huang, D., Wang, X., Torres, J. L., Diedrich, J. K., Tian, J.-H., Portnoff, A. D., Patel, N., Massare, M. J., Yates, J. R., Nemazee, D., Paulson, J. C., Glenn, G., Smith, G., & Ward, A. B.
Venue
Science
Published
2020-11-27
Volume
370
Issue
6520
Pages
1089-1094
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3093842248
Cited by
346
References
13
FWCI
7.79
Type
journal article
Language
en
Open access
hybrid

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.