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In silico study of the spike protein from SARS-CoV-2 interaction with ACE2: similarity with SARS-CoV, hot-spot analysis and effect of the receptor polymorphism

机译:在从与aCE2 saRs-CoV的-2相互作用的刺突蛋白的硅片研究:与saRs-CoV的,热点分析和受体多态性的效果相似

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摘要

The spread of the COVID-19 caused by the SARS-CoV-2 outbreak has been growing since its first identification in December 2019. The publishing of the first SARS-CoV-2 genome made a valuable source of data to study the details about its phylogeny, evolution, and interaction with the host. Protein-protein binding assays have confirmed that Angiotensin-converting enzyme 2 (ACE2) is more likely to be the cell receptor via which the virus invades the host cell. In the present work, we provide an insight into the interaction of the viral spike Receptor Binding Domain (RBD) from different coronavirus isolates with host ACE2 protein. We used homology-based protein-protein docking, binding energy estimation, and decomposition, aiming to predict both qualitative and quantitative aspects of the interaction. Using in silico structural modelling, we brought additional evidence that the interface segment of the spike protein RBD might be acquired by SARS-CoV-2 via a complex evolutionary process rather than mutation accumulation. We also highlighted the relevance of Q493 and P499 amino acid residues of SARS-CoV-2 RBD for binding to hACE2 and maintaining the stability of the interface. Finally, we studied the impact of eight different variants located at the interaction surface of ACE2, on the complex formation with SARS-CoV-2 RBD. We found that none of them is likely to disrupt the interaction with the viral RBD of SARS-CoV-2.

著录项

  • 作者单位

    Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand;Laboratory of veterinary epidemiology and microbiology LR16IPT03. Institut Pasteur of Tunis. University of Tunis El Manar;Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand;Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand;Laboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Pasteur Institute of Tunis, University of Tunis El Manar;Laboratory of Bioinformatics, Biomathematics and Biostatistics - LR16IPT09, Pasteur Institute of Tunis, University Tunis El Manar;Université de Tunis El Manar, Institut Pasteur de Tunis;Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand;School of Electrical and Information Engineering, University of the Witwatersrand;;

  • 年度 2020
  • 总页数 17
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医药、卫生;

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