Beyond Shielding: The Roles of Glycans in the SARS-CoV-2 Spike Protein
By L. Casalino, Zied Gaieb, J. Goldsmith, Christy K. Hjorth, A. Dommer, Aoife M. Harbison, Carl A. Fogarty, E. P. Barros, Bryn C. Taylor, J. McLellan and 2 more. bioRxiv, 2020
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The ongoing COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in more than 15,000,000 infections and 600,000 deaths worldwide to date. Antibody development efforts mainly revolve around the extensively glycosylated SARS-CoV-2 spike (S) protein, which mediates the host cell entry by binding to the angiotensin-converting enzyme 2 (ACE2). Similar to many other viruses, the SARS-CoV-2 spike utilizes a glycan shield to thwart the host immune response. Here, we built a full-length model of glycosylated SARS-CoV-2 S protein, both in the open and closed states, augmenting the available structural and biological data. Multiple microsecond-long, all-atom molecular dynamics simulations were used to provide an atomistic perspective on the roles of glycans, and the protein structure and dynamics. We reveal an essential structural role of N-glycans at sites N165 and N234 in modulating the conformational dynamics of the spike’s receptor binding domain (RBD), which is responsible for ACE2 recognition. This finding is corroborated by biolayer interferometry experiments, which show that deletion of these glycans through N165A and N234A mutations significantly reduces binding to ACE2 as a result of the RBD conformational shift towards the “down” state. Additionally, end-to-end accessibility analyses outline a complete overview of the vulnerabilities of the glycan shield of SARS-CoV-2 S protein, which may be exploited by therapeutic efforts targeting this molecular machine. Overall, this work presents hitherto unseen functional and structural insights into the SARS-CoV-2 S protein and its glycan coat, providing a strategy to control the conformational plasticity of the RBD that could be harnessed for vaccine development.
Subfields: Epidemiology, Infectious Diseases
View Paper: https://www.semanticscholar.org/paper/457f2b04b6aed053096ed2effba8833a372ce52e
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Citations in the corpus
- On scientific understanding with artificial intelligence (2022, background): “[26] Lorenzo Casalino, Zied Gaieb, Jory A Goldsmith, Christy K Hjorth, Abigail C Dommer, Aoife M Harbison, Carl A Fogarty, Emilia P Barros, Bryn C Taylor, Jason S McLellan, et al.”
- Molecular Architecture of the SARS-CoV-2 Virus (2020, neutral): “Populations of under-processed oligomannose-type glycans are found at the same sites as seen in the recombinant material, including at N234 where the glycan is suggested to have a structural role (Casalino et al., 2020).”