Omicron BA.1 and BA.2 variants increase the interactions of SARS-CoV-2 spike glycoprotein with ACE2

Mert Golcuk, Ahmet Yildiz, Mert Gur*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

SARS-CoV-2 infection is initiated by binding of the receptor-binding domain (RBD) of its spike glycoprotein to the peptidase domain (PD) of angiotensin-converting enzyme 2 (ACE2) receptors in host cells. Recently detected Omicron variant of SARS-CoV-2 (B.1.1.529) is heavily mutated on RBD. First the BA.1 and later the BA.2 variant became the most dominant strains of the Omicron variant. To investigate how the mutations of these strains affect RBD-PD interactions, we performed all-atom molecular dynamics simulations of the BA.1 and BA.2 RBD-PD in the presence of full-length glycans, explicit water, and ions. Simulations revealed that RBDs of BA.1 and BA.2 variants exhibit a more dispersed interaction network and make an increased number of salt bridges and hydrophobic interactions with PD compared to wild-type RBD. Although BA.1 and BA.2 differ in two residues at the RBD-ACE2 interface, no major difference in RBD-PD interactions and binding strengths were observed between these variants. Using the conformations sampled in each trajectory, the Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) method estimated ∼34% and ∼51% stronger binding free energies to PD for BA.1 and BA.2 RBD, respectively, than wild-type RBD, which may result in higher binding efficiency of the Omicron variant to infect host cells.

Original languageEnglish
Article number108286
JournalJournal of Molecular Graphics and Modelling
Volume117
DOIs
Publication statusPublished - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022

Funding

This work is supported by COVID-19 HPC Consortium (Grant numbers: TG-BIO200053 and TG-BIO210181 ).

FundersFunder number
COVID-19 HPC ConsortiumTG-BIO210181, TG-BIO200053

    Keywords

    • ACE2 receptor
    • MMPBSA
    • Molecular dynamics simulations
    • Omicron variant
    • SARS-CoV-2
    • Spike glycoprotein

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