Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies.

bioRxiv

Departments of Biological Sciences, Chemistry, Bioengineering, and Computer Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, USA.

Published: May 2021

AI Article Synopsis

  • - The study focuses on SARS-CoV-2 and the need for vaccines that generate strong neutralizing antibodies to combat the pandemic, highlighting the significance of the spike (S) protein in binding to human cells.
  • - Researchers created models of S trimer-antibody complexes and used molecular dynamics simulations to examine how these proteins interact, providing insights into the structural dynamics involved in the binding process.
  • - The findings reveal how mutations in SARS-CoV-2 can affect S-antibody interactions and emphasize the role of glycans in this binding, which is crucial for developing effective vaccines and treatments.

Article Abstract

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents a public health crisis, and the vaccines that can induce highly potent neutralizing antibodies are essential for ending the pandemic. The spike (S) protein on the viral envelope mediates human angiotensin-converting enzyme 2 (ACE2) binding and thus is the target of a variety of neutralizing antibodies. In this work, we built various S trimer-antibody complex structures on the basis of the fully glycosylated S protein models described in our previous work, and performed all-atom molecular dynamics simulations to get insight into the structural dynamics and interactions between S protein and antibodies. Investigation of the residues critical for S-antibody binding allows us to predict the potential influence of mutations in SARS-CoV-2 variants. Comparison of the glycan conformations between S-only and S-antibody systems reveals the roles of glycans in S-antibody binding. In addition, we explored the antibody binding modes, and the influences of antibody on the motion of S protein receptor binding domains. Overall, our analyses provide a better understanding of S-antibody interactions, and the simulation-based S-antibody interaction maps could be used to predict the influences of S mutation on S-antibody interactions, which will be useful for the development of vaccine and antibody-based therapy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132224PMC
http://dx.doi.org/10.1101/2021.05.10.443519DOI Listing

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