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Cited by 660

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From SARS to MERS: crystallographic studies on coronaviral proteases enable antiviral drug design

Open access
Hilgenfeld, Rolf·2014·The FEBS Journal

Abstract

This review focuses on the important contributions that macromolecular crystallography has made over the past 12 years to elucidating structures and mechanisms of the essential proteases of coronaviruses, the main protease (M pro) and the papain‐like protease (PL pro). The role of X‐ray crystallography in structure‐assisted drug discovery against these targets is discussed. Aspects dealt with in this review include the emergence of the SARS coronavirus in 2002–2003 and of the MERS coronavirus 10 years later and the origins of these viruses. The crystal structure of the free SARS coronavirus M pro and its dependence on pH is discussed, as are efforts to design inhibitors on the basis of these structures. The mechanism of maturation of the enzyme from the viral polyprotein is still a matter of debate. The crystal structure of the SARS coronavirus PL pro and its complex with ubiquitin is also discussed, as is its orthologue from MERS coronavirus. Efforts at predictive structure‐based inhibitor development for bat coronavirus M pro s to increase the preparedness against zoonotic transmission to man are described as well. The paper closes with a brief discussion of structure‐based discovery of antivirals in an academic setting.

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Metadata

Authors
Hilgenfeld, R.
Venue
The FEBS Journal
Publisher
Wiley
Published
2014-08-11
Volume
281
Issue
18
Pages
4085-4096
ISSN
  • 1742-464X (ISSN-L)
  • 1742-4658
OpenAlex
W2163761019
Cited by
660
References
3
FWCI
5.84
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: From SARS to MERS: crystallographic studies on coronaviral proteases enable antiviral drug design. https://app.cochat.ai/papers/10.1111/febs.12936
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Hilgenfeld, R. (2014). From SARS to MERS: crystallographic studies on coronaviral proteases enable antiviral drug design. The FEBS Journal. https://doi.org/10.1111/febs.12936

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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.