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    Novel adenosine derivatives against SARS-CoV-2 RNA-dependent RNA polymerase: an in silico perspective

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    Type
    Article
    Authors
    Sonousi, Amr
    Mahran, Hanan A.
    Ibrahim, Ibrahim M.
    Ibrahim, Mohamed N.
    Elfiky, Abdo A. cc
    Elshemey, Wael M.
    Date
    2021-06-24
    Online Publication Date
    2021-06-24
    Print Publication Date
    2021-12
    Permanent link to this record
    http://hdl.handle.net/10754/671125
    
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    Abstract
    Background: SARS-CoV-2 is a newly emerged human coronavirus that severely affected human health and the economy. The viral RNA-dependent RNA polymerase (RdRp) is a crucial protein target to stop virus replication. The adenosine derivative, remdesivir, was authorized for emergency use 10 months ago by the United States FDA against COVID-19 despite its doubtful efficacy against SARS-CoV-2. Methods: A dozen modifications based on remdesivir are tested against SARS-CoV-2 RdRp using combined molecular docking and dynamics simulation in this work. Results: The results reveal a better binding affinity of 11 modifications compared to remdesivir. Compounds 8, 9, 10, and 11 show the best binding affinities against SARS-CoV-2 RdRp conformations gathered during 100 ns of the Molecular Dynamics Simulation (MDS) run (− 8.13 ± 0.45 kcal/mol, − 8.09 ± 0.67 kcal/mol, − 8.09 ± 0.64 kcal/mol, and − 8.07 ± 0.73 kcal/mol, respectively). Conclusions: The present study suggests these four compounds as potential SARS-CoV-2 RdRp inhibitors, which need to be validated experimentally. Graphic abstract: [Figure not available: see fulltext.]
    Citation
    Sonousi, A., Mahran, H. A., Ibrahim, I. M., Ibrahim, M. N., Elfiky, A. A., & Elshemey, W. M. (2021). Novel adenosine derivatives against SARS-CoV-2 RNA-dependent RNA polymerase: an in silico perspective. Pharmacological Reports. doi:10.1007/s43440-021-00300-9
    Sponsors
    Shaheen supercomputer of King Abdullah University of Science and Technology (KAUST) is used to perform the after dockings MDS calculations (under Project Number k1482). In addition, the Bibliotheca Alexandrina is used to perform the initial MDS calculations. This work is supported by the Cairo University COVID-19 fund received by AAE.
    Publisher
    Springer Science and Business Media LLC
    Journal
    PHARMACOLOGICAL REPORTS
    DOI
    10.1007/s43440-021-00300-9
    PubMed ID
    34165771
    PubMed Central ID
    PMC8222949
    Additional Links
    https://link.springer.com/10.1007/s43440-021-00300-9
    ae974a485f413a2113503eed53cd6c53
    10.1007/s43440-021-00300-9
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