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  1. Article ; Online: Computational and theoretical exploration for clinical suitability of Remdesivir drug to SARS-CoV-2.

    Nayeem, Shaik Mahammad / Sohail, Ershad Mohammed / Sudhir, Gajjela Priyanka / Reddy, Munnangi Srinivasa

    European journal of pharmacology

    2020  Volume 890, Page(s) 173642

    Abstract: A methodology for the exploration of clinical suitability of Remdesivir drug to SARS-CoV-2 main protease based on the computational, theoretical analysis pertinent to Gibb's free energy computed from the Molecular Dynamic simulations with OPLS-AA force ... ...

    Abstract A methodology for the exploration of clinical suitability of Remdesivir drug to SARS-CoV-2 main protease based on the computational, theoretical analysis pertinent to Gibb's free energy computed from the Molecular Dynamic simulations with OPLS-AA force field at 300 K/atmospheric pressure and the variation of thermodynamic potentials over the entire simulation run of 100 ns. This study emphasized the suitability of Remdesivir drug to SARS-CoV-2 protein and the same is emphasized by the results of global clinical trials. This methodology can be applied for future design, development of more specific repurposed inhibitors for the treatment of SARS-CoV-2 infection.
    MeSH term(s) Adenosine Monophosphate/analogs & derivatives ; Adenosine Monophosphate/pharmacology ; Adenosine Monophosphate/therapeutic use ; Alanine/analogs & derivatives ; Alanine/pharmacology ; Alanine/therapeutic use ; Animals ; Antiviral Agents/pharmacology ; Antiviral Agents/therapeutic use ; COVID-19/drug therapy ; Coronavirus 3C Proteases/metabolism ; Humans ; Molecular Dynamics Simulation ; SARS-CoV-2
    Chemical Substances Antiviral Agents ; remdesivir (3QKI37EEHE) ; Adenosine Monophosphate (415SHH325A) ; 3C-like protease, SARS coronavirus (EC 3.4.22.-) ; Coronavirus 3C Proteases (EC 3.4.22.28) ; Alanine (OF5P57N2ZX)
    Keywords covid19
    Language English
    Publishing date 2020-10-13
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 80121-5
    ISSN 1879-0712 ; 0014-2999
    ISSN (online) 1879-0712
    ISSN 0014-2999
    DOI 10.1016/j.ejphar.2020.173642
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Computational and theoretical exploration for clinical suitability of Remdesivir drug to SARS-CoV-2

    Nayeem, Shaik Mahammad / Sohail, Ershad Mohammed / Sudhir, Gajjela Priyanka / Reddy, Munnangi Srinivasa

    European Journal of Pharmacology

    2020  , Page(s) 173642

    Keywords Pharmacology ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 80121-5
    ISSN 1879-0712 ; 0014-2999
    ISSN (online) 1879-0712
    ISSN 0014-2999
    DOI 10.1016/j.ejphar.2020.173642
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Computational and theoretical exploration for clinical suitability of Remdesivir drug to SARS-CoV-2

    Nayeem, Shaik Mahammad / Sohail, Ershad Mohammed / Sudhir, Gajjela Priyanka / Reddy, Munnangi Srinivasa

    Eur J Pharmacol

    Abstract: A methodology for the exploration of clinical suitability of Remdesivir drug to SARS-CoV-2 main protease based on the computational, theoretical analysis pertinent to Gibb's free energy computed from the Molecular Dynamic simulations with OPLS-AA force ... ...

    Abstract A methodology for the exploration of clinical suitability of Remdesivir drug to SARS-CoV-2 main protease based on the computational, theoretical analysis pertinent to Gibb's free energy computed from the Molecular Dynamic simulations with OPLS-AA force field at 300 K/atmospheric pressure and the variation of thermodynamic potentials over the entire simulation run of 100 ns. This study emphasized the suitability of Remdesivir drug to SARS-CoV-2 protein and the same is emphasized by the results of global clinical trials. This methodology can be applied for future design, development of more specific repurposed inhibitors for the treatment of SARS-CoV-2 infection.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #856669
    Database COVID19

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