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Cited by 1,707

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Coronaviruses — drug discovery and therapeutic options

Open access
Zumla, Alimuddin, Chan, Jasper F. W., Azhar, Esam I., Hui, David S. C., Yuen, Kwok-Yung·2016·Nature Reviews Drug Discovery

Abstract

In humans, infections with the human coronavirus (HCoV) strains HCoV-229E, HCoV-OC43, HCoV-NL63 and HCoV-HKU1 usually result in mild, self-limiting upper respiratory tract infections, such as the common cold. By contrast, the CoVs responsible for severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which were discovered in Hong Kong, China, in 2003, and in Saudi Arabia in 2012, respectively, have received global attention over the past 12 years owing to their ability to cause community and health-care-associated outbreaks of severe infections in human populations. These two viruses pose major challenges to clinical management because there are no specific antiviral drugs available. In this Review, we summarize the epidemiology, virology, clinical features and current treatment strategies of SARS and MERS, and discuss the discovery and development of new virus-based and host-based therapeutic options for CoV infections.

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Metadata

Authors
Zumla, A., Chan, J. F. W., Azhar, E. I., Hui, D. S. C., & Yuen, K.-Y.
Venue
Nature Reviews Drug Discovery
Published
2016-02-12
Volume
15
Issue
5
Pages
327-347
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W2255243349
Cited by
1,707
References
8
FWCI
5.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Coronaviruses — drug discovery and therapeutic options. https://app.cochat.ai/papers/10.1038/nrd.2015.37
The paper
Zumla, A., Chan, J. F. W., Azhar, E. I., Hui, D. S. C., & Yuen, K.-Y. (2016). Coronaviruses — drug discovery and therapeutic options. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd.2015.37

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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.