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An Insight Based on Computational Analysis of the Interaction between the Receptor-Binding Domain of the Omicron Variants and Human Angiotensin-Converting Enzyme 2.
Celik, Ismail; Abdellattif, Magda H; Tallei, Trina Ekawati.
  • Celik I; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri 38039, Turkey.
  • Abdellattif MH; Department of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
  • Tallei TE; Department of Biology, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado 95115, North Sulawesi, Indonesia.
Biology (Basel) ; 11(5)2022 May 23.
Article in English | MEDLINE | ID: covidwho-1952956
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Vaccines / Variants Language: English Year: 2022 Document Type: Article Affiliation country: Biology11050797

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Full text: Available Collection: International databases Database: MEDLINE Topics: Vaccines / Variants Language: English Year: 2022 Document Type: Article Affiliation country: Biology11050797