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Journal of Virology· 2020Q1

Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus

Yushun Wan, Jian Shang, Rachel L. Graham, Ralph S. Baric et al.

Short summary

A predictive framework, developed from decade-long structural studies of SARS-CoV spike protein binding to ACE2, is applied to the novel Wuhan coronavirus (2019-nCoV) to predict its receptor usage and host range.

AI-generated from the title and abstract; the full text is not read.

Key points

  • A predictive framework for virus-receptor interactions was developed from extensive structural studies of SARS-CoV.
  • This framework identifies key interactions between the SARS-CoV spike protein and the ACE2 receptor.
  • The framework is applied to the novel 2019-nCoV spike protein sequence to predict its receptor usage and host range.
  • The study aims to facilitate epidemic surveillance and identify potential hosts/models for 2019-nCoV.

AI-generated from the title and abstract; the full text is not read.

Abstract

The recent emergence of Wuhan coronavirus (2019-nCoV) puts the world on alert. 2019-nCoV is reminiscent of the SARS-CoV outbreak in 2002 to 2003. Our decade-long structural studies on the receptor recognition by SARS-CoV have identified key interactions between SARS-CoV spike protein and its host receptor angiotensin-converting enzyme 2 (ACE2), which regulate both the cross-species and human-to-human transmissions of SARS-CoV. One of the goals of SARS-CoV research was to build an atomic-level iterative framework of virus-receptor interactions to facilitate epidemic surveillance, predict species-specific receptor usage, and identify potential animal hosts and animal models of viruses. Based on the sequence of 2019-nCoV spike protein, we apply this predictive framework to provide novel insights into the receptor usage and likely host range of 2019-nCoV. This study provides a robust test of this reiterative framework, providing the basic, translational, and public health research communities with predictive insights that may help study and battle this novel 2019-nCoV.

The authors' abstract, as published at the source. Journal of Virology, 2020 · DOI ↗

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Field: Infectious Diseases

Infectious DiseasesMedicine