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1.
Mol Cell Probes ; 65: 101847, 2022 10.
Article in English | MEDLINE | ID: covidwho-1936971

ABSTRACT

SARS-COV-2 stands as the source of the most catastrophic pandemic of this century, known as COVID-19. In this regard, we explored the effects of five Pistacia sp. active ingredients on the most crucial targets of SARS-COV-2, including 3CLpro, PLpro, RdRp, helicase, NSP15, and E protein. The results of molecular docking determined 1,2,3,4,6-pentagalloyl glucose (PG) as the most effective compound of Pistacia sp, which also confirmed its excellent binding affinities and stable interactions with helicase (-10.76 kcal/mol), RdRp (-10.19 kcal/mol), E protein (-9.51 kcal/mol), and 3CLpro (-9.47 kcal/mol). Furthermore, MD simulation was conducted to investigate the stability of all complexes throughout a 100 ns. In contrast to PLpro and NSP15, the analyses of Lennard-Jones potential, RMSDas, PCA, and SASA verified the ability of PG in forming stable and adequate interactions with RdRp, helicase, 3CLpro, and E protein due to standing as an effective inhibitor among the six targets, these data proposed the capability of PG, the most important compound of Pistacia sp., in inducing antiviral, anti-inflammatory, and antioxidant impacts on RdRp, helicase, 3CLpro, and E protein. Therefore, the possibility of inhibiting the replication and transcription processes and viral pathogenesis of SARS-COV-2 may be facilitated through the application of PG.


Subject(s)
COVID-19 , Pistacia , Cysteine Endopeptidases , Glucose , Molecular Docking Simulation , Pistacia/metabolism , RNA-Dependent RNA Polymerase , SARS-CoV-2
2.
Curr Comput Aided Drug Des ; 18(4): 307-317, 2022.
Article in English | MEDLINE | ID: covidwho-1902810

ABSTRACT

BACKGROUND: Through this study, the Chemical composition realized by UHPLC-DADESI- MSn allowed the detection of different phenolic compound groups from Pistacia atlantica Desf. leaves extracts. We studied the inhibition of main protease (CL3 Mpro) and RNA-dependent RNA polymerase (RdRp) of the SARS-CoV-2 by the identified molecules through molecular docking. OBJECTIVE: The objective of this study is to identify compounds from Pistacia atlantica Desf. leaves extracts, which might have anti-viral effects. METHODS: Chemical composition was realized by UHPLC-DAD-ESI-MSn, and the inhibition of the main protease (CL3 Mpro) and RNA-dependent RNA polymerase (RdRp) of the SARS-CoV-2 was studied using molecular docking with Autodock Vina software. ADMET analysis was carried out. RESULTS: The identified compounds are quinic acid, digallic acid, galloylquinic acid, gallic acid, trigallic acid, digalloylquinic acids, trigalloylquinic acids and methyl gallate; digallic and quinic acids are the best inhibitors. Digallic acid had binding affinity energy (BAE) of -8.2 kcal/mol, and Ki of 1µM for the CL3 Mpro, Ki of 0.62 mM for the RdRp. Quinic acid showed Ki of 4.6 mM, recorded for both enzymes. Through ADMET analysis, we have found that the two molecules are good drug candidates. CONCLUSION: This is the first time that a group of identified compounds from Pistacia atlantica Desf. leaves are studied for their potential activity against the novel virus by inhibiting two key enzymes in its life cycle, and no further studies have been published in this context.


Subject(s)
COVID-19 Drug Treatment , Pistacia , Gallic Acid/pharmacology , Molecular Docking Simulation , Peptide Hydrolases , Pistacia/chemistry , Protease Inhibitors/pharmacology , Quinic Acid/pharmacology , RNA-Dependent RNA Polymerase , SARS-CoV-2 , Plant Leaves/chemistry , Plant Extracts/pharmacology
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