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Risk of evolutionary escape from neutralizing antibodies targeting SARS-CoV-2 spike protein
Debra Van Egeren; Alexander Novokhodko; Madison Stoddard; Uyen Tran; Bruce Zetter; Michael Rogers; Bradley L. Pentelute; Jonathan M. Carlson; Mark S. Hixon; Diane Joseph-McCarthy; Arijit Chakravarty.
Affiliation
  • Debra Van Egeren; Dana-Farber Cancer Institute
  • Alexander Novokhodko; University of Washington
  • Madison Stoddard; Fractal Therapeutics
  • Uyen Tran; Fractal Therapeutics
  • Bruce Zetter; Boston Children's Hospital
  • Michael Rogers; Boston Children's Hospital
  • Bradley L. Pentelute; MIT
  • Jonathan M. Carlson; Microsoft Research
  • Mark S. Hixon; Mark S. Hixon Consulting, LLC
  • Diane Joseph-McCarthy; Boston University
  • Arijit Chakravarty; Fractal Therapeutics
Preprint in English | medRxiv | ID: ppmedrxiv-20233726
ABSTRACT
As many prophylactics targeting SARS-CoV-2 are aimed at the spike protein receptor-binding domain (RBD), we examined the risk of immune evasion from previously published RBD-targeting neutralizing antibodies (nAbs). Epitopes for RBD-targeting nAbs overlap one another substantially and can give rise to escape mutants with ACE2 affinities comparable to wild type that still infect cells in vitro. We used evolutionary modeling to predict the frequency of immune escape before and after the widespread presence of nAbs due to vaccines, passive immunization or natural immunity. Our modeling suggests that SARS-CoV-2 mutants with one or two mildly deleterious mutations are expected to exist in high numbers due to neutral genetic variation, and consequently resistance to single or double antibody combinations can develop quickly under positive selection. One Sentence SummarySARS-CoV-2 will evolve quickly to evade widely deployed spike RBD-targeting monoclonal antibodies, requiring combinations that rely on at least three antibodies targeting distinct epitopes to suppress viral immune evasion.
License
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Prognostic study Language: English Year: 2020 Document type: Preprint
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