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

Autor: Sang-Jun Park, Wonpil Im, Hyeonuk Woo, Martin Frank, Yiwei Cao, Yeol Kyo Choi, Chaok Seok, Min Sun Yeom
Rok vydání: 2021
Předmět:
Zdroj: Journal of Chemical Theory and Computation
bioRxiv
article-version (status) pre
article-version (number) 1
ISSN: 1549-9626
1549-9618
Popis: 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.
Databáze: OpenAIRE