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Identification of key mutations responsible for the enhancement of receptor-binding affinity and immune escape of SARS-CoV-2 Omicron variant.
Wang, Wei Bu; Ma, Yi Bo; Lei, Ze Hua; Zhang, Xue Feng; Li, Jiao; Li, Shan Shan; Dong, Ze Yuan; Liang, Yu; Li, Qi Ming; Su, Ji Guo.
Affiliation
  • Wang WB; High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China; National Engineering Center for New Vaccine Research, Beijing, China.
  • Ma YB; High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China; National Engineering Center for New Vaccine Research, Beijing, China.
  • Lei ZH; National Engineering Center for New Vaccine Research, Beijing, China; The Sixth Laboratory, National Vaccine and Serum Institute (NVSI), Beijing, China.
  • Zhang XF; National Engineering Center for New Vaccine Research, Beijing, China; The Sixth Laboratory, National Vaccine and Serum Institute (NVSI), Beijing, China.
  • Li J; High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China; National Engineering Center for New Vaccine Research, Beijing, China.
  • Li SS; High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China; National Engineering Center for New Vaccine Research, Beijing, China.
  • Dong ZY; High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China; National Engineering Center for New Vaccine Research, Beijing, China.
  • Liang Y; National Engineering Center for New Vaccine Research, Beijing, China; The Sixth Laboratory, National Vaccine and Serum Institute (NVSI), Beijing, China.
  • Li QM; National Engineering Center for New Vaccine Research, Beijing, China; The Sixth Laboratory, National Vaccine and Serum Institute (NVSI), Beijing, China. Electronic address: liqiming189@163.com.
  • Su JG; High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China; National Engineering Center for New Vaccine Research, Beijing, China. Electronic address: jiguosu@hotmail.com.
J Mol Graph Model ; 124: 108540, 2023 11.
Article in En | MEDLINE | ID: mdl-37352723
ABSTRACT
The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has raised concerns worldwide due to its enhanced transmissibility and immune escapability. The first dominant Omicron BA.1 subvariant harbors more than 30 mutations in the spike protein from the prototype virus, of which 15 mutations are located at the receptor binding domain (RBD). These mutations in the RBD region attracted significant attention, which potentially enhance the binding of the receptor human angiotensin-converting enzyme 2 (hACE2) and decrease the potency of neutralizing antibodies/nanobodies. This study applied the molecular dynamics simulations combined with the molecular mechanics-generalized Born surface area (MMGBSA) method, to investigate the molecular mechanism behind the impact of the mutations acquired by Omicron on the binding affinity between RBD and hACE2. Our results indicate that five key mutations, i.e., N440K, T478K, E484A, Q493R, and G496S, contributed significantly to the enhancement of the binding affinity by increasing the electrostatic interactions of the RBD-hACE2 complex. Moreover, fourteen neutralizing antibodies/nanobodies complexed with RBD were used to explore the effects of the mutations in Omicron RBD on their binding affinities. The calculation results indicate that the key mutations E484A and Y505H reduce the binding affinities to RBD for most of the studied neutralizing antibodies/nanobodies, mainly attributed to the elimination of the original favorable gas-phase electrostatic and hydrophobic interactions between them, respectively. Our results provide valuable information for developing effective vaccines and antibody/nanobody drugs.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Single-Domain Antibodies / COVID-19 Type of study: Diagnostic_studies Limits: Humans Language: En Journal: J Mol Graph Model Journal subject: BIOLOGIA MOLECULAR Year: 2023 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Single-Domain Antibodies / COVID-19 Type of study: Diagnostic_studies Limits: Humans Language: En Journal: J Mol Graph Model Journal subject: BIOLOGIA MOLECULAR Year: 2023 Type: Article Affiliation country: China