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      Molecular insights into the differential dynamics of SARS-CoV-2 variants of concern

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          Abstract

          Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has affected the lives and livelihood of millions of individuals around the world. It has mutated several times after its first inception, with an estimated two mutations occurring every month. Although we have been successful in developing vaccines against the virus, the emergence of variants has enabled it to escape therapy. Few of the generated variants are also reported to be more infectious than the wild-type (WT). In this study, we analyze the attributes of all RBD/ACE2 complexes for the reported VOCs, namely, Alpha, Beta, Gamma, and Delta through computer simulations. Results indicate differences in orientation and binding energies of the VOCs from the WT. Overall, it was observed that electrostatic interactions play a major role in the binding of the complexes. Detailed residue level energetics revealed that the most prominent changes in interaction energies were seen particularly at the mutated residues which were present at RBD/ACE2 interface. We found that the Delta variant is one of the most tightly bound variants of SARS-CoV-2 with dynamics similar to WT. The high binding affinity of RBD towards ACE2 is indicative of an increase in viral transmission and infectivity. The details presented in our study provide additional information for the design and development of effective therapeutic strategies for the emerging variants of the virus in the future.

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          VMD: Visual molecular dynamics

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            GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

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              Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems

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                Author and article information

                Journal
                J Mol Graph Model
                J Mol Graph Model
                Journal of Molecular Graphics & Modelling
                Elsevier Inc.
                1093-3263
                1873-4243
                14 April 2022
                14 April 2022
                : 108194
                Affiliations
                [a ]National Institute of Technology, Warangal, Telangana, 506004, India
                [b ]Laboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, 1-7-22 Suehiro, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
                Author notes
                []Corresponding author.
                Article
                S1093-3263(22)00073-0 108194
                10.1016/j.jmgm.2022.108194
                9009157
                35453047
                b8edd4b1-6e09-47f8-a8ee-c6771d4f5b07
                © 2022 Elsevier Inc. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 21 January 2022
                : 6 April 2022
                : 11 April 2022
                Categories
                Article

                Bioinformatics & Computational biology
                angiotensin-converting enzyme 2,delta,molecular dynamics,receptor binding domain,sars-cov-2

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