2021
DOI: 10.4155/fmc-2020-0248
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Can Natural Products Stop the SARS-CoV-2 virus? a Docking and Molecular Dynamics Study of a Natural Product Database

Abstract: Background: The SARS-CoV-2 3CLpro is one of the primary targets for designing new and repurposing known drugs. Methodology: A virtual screening of molecules from the Natural Product Atlas was performed, followed by molecular dynamics simulations of the most potent inhibitor bound to two conformations of the protease and into two binding sites. Conclusion: Eight molecules with appropriate ADMET properties are suggested as potential inhibitors. The greatest benefit of this study is the demonstration that these l… Show more

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Cited by 14 publications
(15 citation statements)
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“…65 However, the obtained affinities were smaller than the top-lead compounds of Natural Product Arlats, which the docking energies adopted in the range from À8.2 to À9.4 kcal mol À1 . 69 Unbinding ligand to rene binding affinity AutoDock Vina uses numerous approximations such as acquired united-atom model, rigid receptor, and rarely tested ligand positions, the obtained results are thus required to rene via MD simulations. 23,58,71 In this work, FPL simulations were employed to rene the docking outcome, 58 because the approach formed a good correlation coefficient to the respective experiments with a value, R FPL , ranging from À0.74 AE 0.11 to À0.76 AE 0.01.…”
Section: Resultsmentioning
confidence: 99%
“…65 However, the obtained affinities were smaller than the top-lead compounds of Natural Product Arlats, which the docking energies adopted in the range from À8.2 to À9.4 kcal mol À1 . 69 Unbinding ligand to rene binding affinity AutoDock Vina uses numerous approximations such as acquired united-atom model, rigid receptor, and rarely tested ligand positions, the obtained results are thus required to rene via MD simulations. 23,58,71 In this work, FPL simulations were employed to rene the docking outcome, 58 because the approach formed a good correlation coefficient to the respective experiments with a value, R FPL , ranging from À0.74 AE 0.11 to À0.76 AE 0.01.…”
Section: Resultsmentioning
confidence: 99%
“…The structure of the SARS-CoV-2 3CLpro was taken from Reference [ 26 ]. It was extracted from 900 ns molecular dynamics simulation, as a representative structure of the dominant conformation, with a population above 86%.…”
Section: Methodsmentioning
confidence: 99%
“…Here, Cys145 has a role of a nucleophile in the first step of the proteolysis, while His41 is the base catalyst [ 25 ]. The existence of allosteric binding sites in the groove between domains II and III has been proposed, with the possibility to stop the dimerization and prevent enzyme maturation [ 26 , 27 ].
Fig.
…”
Section: Introductionmentioning
confidence: 99%
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“…Additionally, Novak et al. performed virtual screening of molecules from the Natural Product Atlas and molecular dynamics simulations of the most potent 3CLpro inhibitor, demonstrating a similar binding potential for a variety of inhibitors for the catalytic and the allosteric groove binding sites (Novak et al., 2021 ). An alternative way of choosing a virtual screening target is to identify the most important virus-host interactions and try to find ligands which could bind to their interface and disrupt these interactions (Gollapalli et al., 2020 ).…”
Section: Introductionmentioning
confidence: 99%