Comparative analysis of ACE2 and antibody binding affinities of post-pandemic SARS-CoV-2 variants

  • M. Peka V. N. Karazin Kharkiv National University
  • A. Saienko Institute of Pig Breeding and Agroindustrial Production of the National Academy of Agrarian Sciences of Ukraine
  • S. Korinnyi Institute of Pig Breeding and Agroindustrial Production of the National Academy of Agrarian Sciences of Ukraine
Keywords: COVID-19, virus, bioinformatics, in silico methods, molecular dynamics, mutation, receptor binding.

Abstract

Post-pandemic evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, is characterized by the continuous emergence of variants carrying numerous mutations within the receptor-binding domain (RBD) of the spike protein. These mutations may alter viral affinity for the angiotensin-converting enzyme 2 (ACE2) receptor and neutralizing antibodies, thereby influencing transmissibility and immune evasion. The aim of this study was to pe r form a comparative in silico analysis of the binding affinities of major post-pandemic SARS-CoV-2 variants toward the human ACE2 receptor and a reference neutralizing antibody. Mutational profiles of XBB.1.5, XBB.1.16, EG.5, BA.2.86, JN.1, KP.3.1.1, NB.1.8.1, XFG, and BA.3.2 lineages were analyzed, structural models of RBD-ACE2 and RBD-antibody complexes were generated, and binding free energies were estimated. Molecular dynamics simulations were performed for selected co m plexes containing RBDs of the XBB.1.5 and BA.3.2.2 variants, as well as the wild-type SARS-CoV-2, and structural stability, conformational dynamics, hydrogen bonding, and free energy landscapes were evaluated. All analyzed post-pandemic variants formed less stable complexes with the reference antibody than the wild-type virus, indicating a general evolutionary trend toward enhanced immune evasion. However, only a subset of variants demonstrated enhanced affinity for ACE2. Molecular dynamics simulations demonstrated that post-pandemic variants acquired distinct conformational dynamics and metastable states compared with the wild-type virus. In particular, XBB.1.5 and BA.3.2.2 formed more stable complexes with ACE2 and less stable co m plexes with the antibody than the wild-type virus. These findings suggest that post-pandemic SARS-CoV-2 evolution is driven predominantly by optimization of immune evasion while preserving effective receptor interaction. The study also demonstrates that the applied computational workflow may be useful for rapid characterization of newly emerging SARS-CoV-2 variants.

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Published
2026-05-06
How to Cite
Peka, M., Saienko, A., & Korinnyi, S. (2026). Comparative analysis of ACE2 and antibody binding affinities of post-pandemic SARS-CoV-2 variants. Regulatory Mechanisms in Biosystems, 17(3), e26052. https://doi.org/10.15421/0226052