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Cited by 448

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Structural Analysis of the Mechanism of Adenovirus Binding to Its Human Cellular Receptor, CAR

Bewley, Maria C., Springer, Karen, Zhang, Yian-Biao, Freimuth, Paul, Flanagan, John M.·1999·Science

Abstract

Binding of virus particles to specific host cell surface receptors is known to be an obligatory step in infection even though the molecular basis for these interactions is not well characterized. The crystal structure of the adenovirus fiber knob domain in complex with domain I of its human cellular receptor, coxsackie and adenovirus receptor (CAR), is presented here. Surface-exposed loops on knob contact one face of CAR, forming a high-affinity complex. Topology mismatches between interacting surfaces create interfacial solvent-filled cavities and channels that may be targets for antiviral drug therapy. The structure identifies key determinants of binding specificity, which may suggest ways to modify the tropism of adenovirus-based gene therapy vectors.

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Crossref · 10.1126/science.286.5444.1579

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Metadata

Authors
Bewley, M. C., Springer, K., Zhang, Y.-B., Freimuth, P., & Flanagan, J. M.
Venue
Science
Published
1999-11-19
Volume
286
Issue
5444
Pages
1579-1583
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2101305223
Cited by
448
References
20
FWCI
18.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Structural Analysis of the Mechanism of Adenovirus Binding to Its Human Cellular Receptor, CAR. https://app.cochat.ai/papers/10.1126/science.286.5444.1579
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Bewley, M. C., Springer, K., Zhang, Y.-B., Freimuth, P., & Flanagan, J. M. (1999). Structural Analysis of the Mechanism of Adenovirus Binding to Its Human Cellular Receptor, CAR. Science. https://doi.org/10.1126/science.286.5444.1579

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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.