Literature DB >> 33611368

Comparison of the binding characteristics of SARS-CoV and SARS-CoV-2 RBDs to ACE2 at different temperatures by MD simulations.

Fang-Fang Yan1, Feng Gao1,2,3.   

Abstract

Temperature plays a sigene">nificant role in the survival and transn class="Gene">mission of SARS-CoV (severe acute respiratory syndrome coronavirus) and SARS-CoV-2. To reveal the binding differences of SARS-CoV and SARS-CoV-2 receptor-binding domains (RBDs) to angiotensin-converting enzyme 2 (ACE2) at different temperatures at atomic level, 20 molecular dynamics simulations were carried out for SARS-CoV and SARS-CoV-2 RBD-ACE2 complexes at five selected temperatures, i.e. 200, 250, 273, 300 and 350 K. The analyses on structural flexibility and conformational distribution indicated that the structure of the SARS-CoV-2 RBD was more stable than that of the SARS-CoV RBD at all investigated temperatures. Then, molecular mechanics Poisson-Boltzmann surface area and solvated interaction energy approaches were combined to estimate the differences in binding affinity of SARS-CoV and SARS-CoV-2 RBDs to ACE2; it is found that the binding ability of ACE2 to the SARS-CoV-2 RBD was stronger than that to the SARS-CoV RBD at five temperatures, and the main reason for promoting such binding differences is electrostatic and polar interactions between RBDs and ACE2. Finally, the hotspot residues facilitating the binding of SARS-CoV and SARS-CoV-2 RBDs to ACE2, the key differential residues contributing to the difference in binding and the interaction mechanism of differential residues that exist at all investigated temperatures were analyzed and compared in depth. The current work would provide a molecular basis for better understanding of the high infectiousness of SARS-CoV-2 and offer better theoretical guidance for the design of inhibitors targeting infectious diseases caused by SARS-CoV-2.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; hierarchical clustering analysis; molecular dynamics simulation; principle component analysis

Mesh:

Substances:

Year:  2021        PMID: 33611368      PMCID: PMC7929385          DOI: 10.1093/bib/bbab044

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  3 in total

Review 1.  Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2.

Authors:  Kaifu Gao; Rui Wang; Jiahui Chen; Limei Cheng; Jaclyn Frishcosy; Yuta Huzumi; Yuchi Qiu; Tom Schluckbier; Xiaoqi Wei; Guo-Wei Wei
Journal:  Chem Rev       Date:  2022-05-20       Impact factor: 72.087

2.  RBD-ACE2 binding properties in five SARS-CoV-2 variants of concern with new perspectives in the design of pan-coronavirus peptide inhibitors.

Authors:  Fangfang Yan; Feng Gao
Journal:  J Infect       Date:  2022-09-14       Impact factor: 38.637

3.  EK1 with dual Q1004E/N1006I mutation: a promising fusion inhibitor for the HR1 domain of SARS-CoV-2.

Authors:  Fangfang Yan; Feng Gao
Journal:  J Infect       Date:  2021-12-22       Impact factor: 38.637

  3 in total

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