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  1. Article ; Online: Drug repurposing and sequence analysis in S-glycoprotein variants reveals critical signature patterns and destabilization of receptor-binding domain in omicron variant.

    Liya, Devang Haresh / Anand, Nithishwer Mouroug / Jainarayanan, Ashwin Kumar / Elanchezhian, Mirudula / Seetharaman, Madhumati / Balakannan, Dhanuush / Pradhan, Arpit Kumar

    Journal of biomolecular structure & dynamics

    2022  Volume 41, Issue 16, Page(s) 7931–7948

    Abstract: The evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus since its emergence in 2019 has yielded several new viral variants with varied infectivity, disease severity, and antigenicity. Although most mutations are expected ... ...

    Abstract The evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus since its emergence in 2019 has yielded several new viral variants with varied infectivity, disease severity, and antigenicity. Although most mutations are expected to be relatively neutral, mutations at the Spike region of the genome have shown to have a major impact on the viral transmission and infection in humans. Therefore, it is crucial to survey the structures of spike protein across the global virus population to contextualize the rate of therapeutic success against these variants. In this study, high-frequency mutational variants from different geographic regions were pooled in order to study the structural evolution of the spike protein through drug docking and MD simulations. We investigated the mutational burden in the spike subregions and have observed that the different variants harbour unique signature patterns in the spike subregions, with certain domains being highly prone to mutations. Further, the MD simulations and docking study revealed that different variants show differential stability when docked for the same set of drug targets. This work sheds light on the mutational burden and the stability landscape of the spike protein across the variants from different geographical regions.Communicated by Ramaswamy H. Sarma.
    Language English
    Publishing date 2022-09-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2022.2127902
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Analysing non-synonymous mutations in XDR and MDR tuberculosis drugs.

    Surana, Pallavi / Jainarayanan, Ashwin Kumar / Anand, Nithishwer Mouroug / Sharma, Mukta

    Journal of clinical tuberculosis and other mycobacterial diseases

    2019  Volume 17, Page(s) 100124

    Abstract: Tuberculosis is a bacterial disease caused ... ...

    Abstract Tuberculosis is a bacterial disease caused by
    Language English
    Publishing date 2019-09-19
    Publishing country England
    Document type Journal Article
    ISSN 2405-5794
    ISSN (online) 2405-5794
    DOI 10.1016/j.jctube.2019.100124
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A comprehensive SARS-CoV-2 genomic analysis identifies potential targets for drug repurposing.

    Anand, Nithishwer Mouroug / Liya, Devang Haresh / Pradhan, Arpit Kumar / Tayal, Nitish / Bansal, Abhinav / Donakonda, Sainitin / Jainarayanan, Ashwin Kumar

    PloS one

    2021  Volume 16, Issue 3, Page(s) e0248553

    Abstract: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is a novel human coronavirus strain (HCoV) was initially reported in December 2019 in Wuhan City, China. This acute infection caused pneumonia-like symptoms and other respiratory ... ...

    Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is a novel human coronavirus strain (HCoV) was initially reported in December 2019 in Wuhan City, China. This acute infection caused pneumonia-like symptoms and other respiratory tract illness. Its higher transmission and infection rate has successfully enabled it to have a global spread over a matter of small time. One of the major concerns involving the SARS-COV-2 is the mutation rate, which enhances the virus evolution and genome variability, thereby making the design of therapeutics difficult. In this study, we identified the most common haplotypes from the haplotype network. The conserved genes and population level variants were analysed. Non-Structural Protein 10 (NSP10), Nucleoprotein, Papain-like protease (Plpro or NSP3) and 3-Chymotrypsin like protease (3CLpro or NSP5), which were conserved at the highest threshold, were used as drug targets for molecular dynamics simulations. Darifenacin, Nebivolol, Bictegravir, Alvimopan and Irbesartan are among the potential drugs, which are suggested for further pre-clinical and clinical trials. This particular study provides a comprehensive targeting of the conserved genes. We also identified the mutation frequencies across the viral genome.
    MeSH term(s) COVID-19/virology ; Drug Discovery/methods ; Drug Repositioning/methods ; Genome, Viral ; Humans ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Mutation Rate ; SARS-CoV-2/drug effects ; SARS-CoV-2/genetics ; SARS-CoV-2/metabolism ; Viral Proteins/genetics ; Viral Proteins/metabolism ; COVID-19 Drug Treatment
    Chemical Substances Viral Proteins
    Language English
    Publishing date 2021-03-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0248553
    Database MEDical Literature Analysis and Retrieval System OnLINE

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