4.7 Article

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

期刊

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
卷 17, 期 10, 页码 6559-6569

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.1c00552

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资金

  1. NIH [GM126140, GM138472]
  2. Humboldt Foundation
  3. National Research Foundation of Korea - Korea government [2019M3E5D4066898, 2016M3C4A7952630]
  4. National Supercomputing Center [KSC-2020-CRE-0089, KSC-2020-CRE-0094]
  5. COVID-19 HPC Consortium project [BIO200063]
  6. NSF [OAC-1931343, DBI-2011234, DBI-1660380, MCB-1810695]
  7. Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2016M3C4A7952630] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  8. National Research Foundation of Korea [2019M3E5D4066898] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This study used molecular dynamics simulations to investigate the interactions between the S protein of SARS-CoV-2 and antibodies, identifying critical residues and predicting the potential impact of mutations in variants. The researchers also compared the roles of glycans in S-antibody binding and explored the binding modes of antibodies and their influence on the motion of the S protein receptor binding domains.
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 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 gain 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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