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A systematic study on the binding affinity of SARS-CoV-2 spike protein to antibodies

  • Received: 29 September 2022 Revised: 18 December 2022 Accepted: 21 December 2022 Published: 26 December 2022
  • The COVID-19 pandemic has caused a worldwide health crisis and economic recession. Effective prevention and treatment methods are urgently required to control the pandemic. However, the emergence of novel SARS-CoV-2 variants challenges the effectiveness of currently available vaccines and therapeutic antibodies. In this study, through the assessment of binding free energies, we analyzed the mutational effects on the binding affinity of the coronavirus spike protein to neutralizing antibodies, patient-derived antibodies, and artificially designed antibody mimics. We designed a scoring method to assess the immune evasion ability of viral variants. We also evaluated the differences between several targeting sites on the spike protein of antibodies. The results presented herein might prove helpful in the development of more effective therapies in the future.

    Citation: Ke An, Xiaohong Zhu, Junfang Yan, Peiyi Xu, Linfeng Hu, Chen Bai. A systematic study on the binding affinity of SARS-CoV-2 spike protein to antibodies[J]. AIMS Microbiology, 2022, 8(4): 595-611. doi: 10.3934/microbiol.2022038

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  • The COVID-19 pandemic has caused a worldwide health crisis and economic recession. Effective prevention and treatment methods are urgently required to control the pandemic. However, the emergence of novel SARS-CoV-2 variants challenges the effectiveness of currently available vaccines and therapeutic antibodies. In this study, through the assessment of binding free energies, we analyzed the mutational effects on the binding affinity of the coronavirus spike protein to neutralizing antibodies, patient-derived antibodies, and artificially designed antibody mimics. We designed a scoring method to assess the immune evasion ability of viral variants. We also evaluated the differences between several targeting sites on the spike protein of antibodies. The results presented herein might prove helpful in the development of more effective therapies in the future.



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    Acknowledgments



    This research was funded by the Warshel Institute for Computational Biology at the Chinese University of Hong Kong, Shenzhen (grant no. C10120180043).

    Conflict of interest



    The authors declare no conflict of interest.

    Author contributions



    CB supervised the project. XZ and KA designed the research study. XZ, KA, JY, PX, and LH, performed the research. XZ and KA analyzed the data and drafted the manuscript. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript.

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