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Millisecond-scale molecular dynamics simulation of spike RBD structure reveals evolutionary adaption of SARS-CoV-2 to stably bind ACE2
Gard Nelson; Oleksandr Buzko; Aaron Bassett; Patricia R Spilman; Kayvan Niazi; Shahrooz Rabizadeh; Patrick Soon-Shiong.
Afiliação
  • Gard Nelson; ImmunityBio LLC
  • Oleksandr Buzko; ImmunityBio LLC
  • Aaron Bassett; ImmunityBio LLC
  • Patricia R Spilman; ImmunityBio LLC
  • Kayvan Niazi; ImmunityBio LLC
  • Shahrooz Rabizadeh; ImmunityBio LLC
  • Patrick Soon-Shiong; ImmunityBio LLC
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-422055
ABSTRACT
The Receptor Binding Domain (RBD) of the SARS-CoV-2 surface spike (S) protein interacts with host angiotensin converting enzyme 2 (ACE2) to gain entry to host cells and initiate infection1-3. Detailed, accurate understanding of key interactions between S RBD and ACE2 provides critical information that may be leveraged in the development of strategies for the prevention and treatment of COVID-19. Utilizing the published sequences and cryo-EM structures of both the viral S RBD and ACE24,5, we performed in silico molecular dynamics (MD) simulations of free S RBD and of its interaction with ACE2 over the exceptionally long durations of 2.9 and 2 milliseconds, respectively, to elucidate the nature and relative affinity of S RBD surface residues for the ACE2 binding region. Our findings reveal that free S RBD has assumed an optimized ACE2 binding-ready conformation, incurring little entropic penalty for binding, an evolutionary adaptation that contributes to its high affinity for the receptor6. We further identified high probability molecular binding interactions that inform both vaccine design and therapeutic development, which may include recombinant ACE2-based spike decoys7 and/or allosteric S RBD-ACE2 binding inhibitors8,9 to prevent or arrest infection and thus disease.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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