An Insight Based on Computational Analysis of the Interaction between the Receptor-Binding Domain of the Omicron Variants and Human Angiotensin-Converting Enzyme 2

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ÇELİK İ., Abdellattif M. H., Tallei T. E.

Biology, vol.11, no.5, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 11 Issue: 5
  • Publication Date: 2022
  • Doi Number: 10.3390/biology11050797
  • Journal Name: Biology
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CAB Abstracts, Veterinary Science Database, Directory of Open Access Journals
  • Keywords: Omicron, spike protein, receptor-binding domain, binding mechanism, computational analysis, PROTEIN-PROTEIN, WEB SERVER, RECOGNITION, INTERFACE, DYNAMICS
  • Kayseri University Affiliated: No


© 2022 by the authors. Licensee MDPI, Basel, Switzerland.Concerns have been raised about the high number of mutations in the spike protein of the new emergence of the highly transmissible Omicron variant (B.1.1529 lineage) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This variant’s extraordinary ability to evade antibodies would significantly impair the current vaccination program. This present study aimed to computationally analyze the interaction between the receptor-binding domain (RBD) in the spike protein of Omicron variants and human angiotensin-converting enzyme 2 (hACE2). The docking results indicated that Omicron BA.2 has exceptionally strong interactions with hACE2 in comparison to Omicron BA.1, Delta, and wild-type, as indicated by various parameters such as salt bridge, hydrogen bond, and non-bonded interactions. The results of the molecular dynamics simulation study corroborate these findings, indicating that Omicron BA.2 has a strong and stable interaction with hACE2. This study provides insight into the development of an effective intervention against this variant.