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Free energy perturbation calculations of mutation effects on SARS-CoV-2 RBD::ACE2 binding affinity
Alina P. Sergeeva; Phinikoula S. Katsamba; Jared M. Sampson; Fabiana Bahna; Seetha Mannepalli; Nicholas C. Morano; Lawrence Shapiro; Richard A. Friesner; Barry Honig.
Afiliação
  • Alina P. Sergeeva; Columbia University
  • Phinikoula S. Katsamba; Columbia University
  • Jared M. Sampson; Columbia University
  • Fabiana Bahna; Columbia University
  • Seetha Mannepalli; Columbia University
  • Nicholas C. Morano; Columbia University
  • Lawrence Shapiro; Columbia University
  • Richard A. Friesner; Columbia University
  • Barry Honig; Columbia University
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-502301
ABSTRACT
The strength of binding between human angiotensin converting enzyme 2 (ACE2) and the receptor binding domain (RBD) of viral spike protein plays a role in the transmissibility of the SARS-CoV-2 virus. In this study we focus on a subset of RBD mutations that have been frequently observed in infected individuals and probe binding affinity changes to ACE2 using surface plasmon resonance (SPR) measurements and free energy perturbation (FEP) calculations. Our SPR results are largely in accord with previous studies but discrepancies do arise due to differences in experimental methods and to protocol differences even when a single method is used. Overall, we find that FEP performance is superior to that of other computational approaches examined as determined by agreement with experiment and, in particular, by its ability to identify stabilizing mutations. Moreover, the calculations successfully predict the observed cooperative stabilization of binding by the Q498R N501Y double mutant present in Omicron variants and offer a physical explanation for the underlying mechanism. Overall, our results suggest that despite the significant computational cost, FEP calculations may offer an effective strategy to understand the effects of interfacial mutations on protein-protein binding affinities and in practical applications such as the optimization of neutralizing antibodies.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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