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    Molecular and Structural Analysis of Specific Mutations from Saudi Isolates of SARS-CoV-2 RNA-Dependent RNA Polymerase and their Implications on Protein Structure and Drug-Protein Binding.

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    Author
    Alamri, Mubarak A
    Tahir Ul Qamar, Muhammad
    Alabbas, Alhumaidi B
    Alqahtani, Safar M
    Alossaimi, Manal A
    Azam, Sikandar
    Hashmi, Muhammad Harris
    Rajoka, Muhammad Shahid Riaz
    Date
    2022-10-01
    Journal
    Molecules
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.3390/molecules27196475
    Abstract
    The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has stressed the global health system to a significant level, which has not only resulted in high morbidity and mortality but also poses a threat for future pandemics. This situation warrants efforts to develop novel therapeutics to manage SARS-CoV-2 in specific and other emerging viruses in general. This study focuses on SARS-CoV2 RNA-dependent RNA polymerase (RdRp) mutations collected from Saudi Arabia and their impact on protein structure and function. The Saudi SARS-CoV-2 RdRp sequences were compared with the reference Wuhan, China RdRp using a variety of computational and biophysics-based approaches. The results revealed that three mutations-A97V, P323I and Y606C-may affect protein stability, and hence the relationship of protein structure to function. The apo wild RdRp is more dynamically stable with compact secondary structure elements compared to the mutants. Further, the wild type showed stable conformational dynamics and interaction network to remdesivir. The net binding energy of wild-type RdRp with remdesivir is -50.76 kcal/mol, which is more stable than the mutants. The findings of the current study might deliver useful information regarding therapeutic development against the mutant RdRp, which may further furnish our understanding of SARS-CoV-2 biology.
    Keyword
    COVID-19
    RdRp
    SARS-CoV-2
    molecular dynamics simulation
    mutations
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/19974
    ae974a485f413a2113503eed53cd6c53
    10.3390/molecules27196475
    Scopus Count
    Collections
    UMB Coronavirus Publications
    UMB Open Access Articles

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