The DOI matches its Crossref record.
Evidence for a coiled-coil structure in the spike proteins of coronaviruses
Open accessAbstract
The amino acid sequences of the spike proteins from three distantly related coronaviruses have been deduced from cDNA sequences. In the C-terminal half, an homology of about 30% was found, while there was no detectable sequence conservation in the N-terminal regions. Hydrophobic “heptad” repeat patterns indicated the presence of two α-helices with predicted lengths of 100 and 50 Å, respectively. It is suggested that, in the spike oligomer. these α-helices form a complex coiled-coil, resembling the supersecondary structures in two other elongated membrane proteins, the haemagglutinin of influenza virus and the variable surface glycoprotein of trypanosomes.
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Citations
Cited by
Bosch, B. J., van der Zee, R., de Haan, C. A. M., & Rottier, P. J. M. (2003) · Journal of Virology · doi:10.1128/jvi.77.16.8801-8811.2003 · Cited by 1,489
Kubo, H., Yamada, Y. K., & Taguchi, F. (1994) · Journal of Virology · doi:10.1128/jvi.68.9.5403-5410.1994 · Cited by 286
Metadata
- Authors
- de Groot, R. J., Luytjes, W., Horzinek, M. C., van der Zeijst, B. A. M., Spaan, W. J. M., & Lenstra, J. A.
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 1987-08
- Volume
- 196
- Issue
- 4
- Pages
- 963-966
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W2019945910
- Cited by
- 200
- References
- 0
- FWCI
- 8.32
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Evidence for a coiled-coil structure in the spike proteins of coronaviruses. https://app.cochat.ai/papers/10.1016/0022-2836(87)90422-0
- The paper
- de Groot, R. J., Luytjes, W., Horzinek, M. C., van der Zeijst, B. A. M., Spaan, W. J. M., & Lenstra, J. A. (1987). Evidence for a coiled-coil structure in the spike proteins of coronaviruses. Journal of Molecular Biology. https://doi.org/10.1016/0022-2836(87)90422-0
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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.
