Structural basis of receptor recognition by SARS-CoV-2

By J. Shang, G. Ye, K. Shi, Yushun Wan, C. Luo, H. Aihara, Q. Geng, Ashley A. Auerbach, Fang Li. 2020

3,460 citations recorded by the source corpus.

A novel severe acute respiratory syndrome (SARS)-like coronavirus (SARS-CoV-2) recently emerged and is rapidly spreading in humans, causing COVID-191,2. A key to tackling this pandemic is to understand the receptor recognition mechanism of the virus, which regulates its infectivity, pathogenesis and host range. SARS-CoV-2 and SARS-CoV recognize the same receptor—angiotensin-converting enzyme 2 (ACE2)—in humans3,4. Here we determined the crystal structure of the receptor-binding domain (RBD) of the spike protein of SARS-CoV-2 (engineered to facilitate crystallization) in complex with ACE2. In comparison with the SARS-CoV RBD, an ACE2-binding ridge in SARS-CoV-2 RBD has a more compact conformation; moreover, several residue changes in the SARS-CoV-2 RBD stabilize two virus-binding hotspots at the RBD–ACE2 interface. These structural features of SARS-CoV-2 RBD increase its ACE2-binding affinity. Additionally, we show that RaTG13, a bat coronavirus that is closely related to SARS-CoV-2, also uses human ACE2 as its receptor. The differences among SARS-CoV-2, SARS-CoV and RaTG13 in ACE2 recognition shed light on the potential animal-to-human transmission of SARS-CoV-2. This study provides guidance for intervention strategies that target receptor recognition by SARS-CoV-2. The crystal structure of the receptor-binding domain of the SARS-CoV-2 spike in complex with human ACE2, compared with the receptor-binding domain of SARS-CoV, sheds light on the structural features that increase its binding affinity to ACE2.

Subfields: Infectious Diseases

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Infectious Diseases

  1. D. Veesler
  2. A. Walls
  3. M. A. Tortorici
  4. Fang Li
  5. F. Krammer
  6. F. Amanat
  7. J. Shang
  8. Yushun Wan

Citations in the corpus