2022
DOI: 10.1021/acs.jmedchem.1c01257
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Discovery of Aryl Benzoyl Hydrazide Derivatives as Novel Potent Broad-Spectrum Inhibitors of Influenza A Virus RNA-Dependent RNA Polymerase (RdRp)

Abstract: Influenza A viruses possess a high antigenic shift, and the approved anti-influenza drugs are extremely limited, which makes the development of novel anti-influenza drugs for the clinical treatment and prevention of influenza outbreaks imperative. Herein, we report a series of novel aryl benzoyl hydrazide analogs as potent anti-influenza agents. Particularly, analogs 10b, 10c, 10g, 11p, and 11q exhibited potent inhibitory activity against the avian H5N1 flu strain with EC50 values ranging from 0.009 to 0.034 μ… Show more

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Cited by 14 publications
(28 citation statements)
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“…Significantly, these results of 3D-QSAR validate the developed structure-based pharmacophore which in turn justifies the interactions obtained from molecular docking. Therefore, it may be inferred that these aryl benzoyl hydrazide derivatives may actually bind to the binding site proposed earlier by Liu et al (Liu et al, 2022) and the derived structure-based pharmacophore model may indeed be used to screen and predict the anti-viral activity of these compounds. Even though structure-based pharmacophore successfully aligned the conformations of the ligands to generate predictive 3D-QSAR models, we also resorted to an atom-based alignment (or rigid body molecular alignment) of the structures to check if any better 3D-QSAR model may exist or not.…”
Section: D-qsar Modelingmentioning
confidence: 81%
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“…Significantly, these results of 3D-QSAR validate the developed structure-based pharmacophore which in turn justifies the interactions obtained from molecular docking. Therefore, it may be inferred that these aryl benzoyl hydrazide derivatives may actually bind to the binding site proposed earlier by Liu et al (Liu et al, 2022) and the derived structure-based pharmacophore model may indeed be used to screen and predict the anti-viral activity of these compounds. Even though structure-based pharmacophore successfully aligned the conformations of the ligands to generate predictive 3D-QSAR models, we also resorted to an atom-based alignment (or rigid body molecular alignment) of the structures to check if any better 3D-QSAR model may exist or not.…”
Section: D-qsar Modelingmentioning
confidence: 81%
“…Bank (https://www.rcsb.org/) (Berman et al, 2003). The B-chain of this crystal structure that represents the PB1 domain of the protein (Liu et al, 2022) was selected from the docking analysis with AutoDock Vina (version 1.1.2., The Scripps Research Institute, La Jolla, CA, United States) (Trott and Olson, 2010).…”
Section: Collected From the Protein Datamentioning
confidence: 99%
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