2022
DOI: 10.1016/j.jics.2022.100669
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Boerhavia diffusa plant extract can be a new potent therapeutics against mutant nephrin protein responsible for type1 nephrotic syndrome: Insight into hydrate-ligand docking interactions and molecular dynamics simulation study

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Cited by 4 publications
(3 citation statements)
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“…The pharmacophore model was obtained through the alignment of the molecular structures of the ten FDA-approved active compounds against COVID-19, which comprise the training set. The alignment revealed a favorable fit [ 68 , 69 ], as depicted in Supplementary Information Figure S38. The pharmacophore model was composed of three indispensable characteristics: Feature F1 exhibits hydrophobic properties due to its chemical structure, characterized by the presence of hydrophobic groups.…”
Section: Resultsmentioning
confidence: 99%
“…The pharmacophore model was obtained through the alignment of the molecular structures of the ten FDA-approved active compounds against COVID-19, which comprise the training set. The alignment revealed a favorable fit [ 68 , 69 ], as depicted in Supplementary Information Figure S38. The pharmacophore model was composed of three indispensable characteristics: Feature F1 exhibits hydrophobic properties due to its chemical structure, characterized by the presence of hydrophobic groups.…”
Section: Resultsmentioning
confidence: 99%
“…Many natural compounds are traditionally used to treat chronic diseases. Sahu et al (2022a) screened the potency of 66 bioactive compounds phytochemicals in BD against mutant nephrin protein, against wild and mutant Ig4 domain of nephrin protein through AutoDock raccoon. Simulated molecular dynamics in 100 ns trajectory of Ig4 domain of nephrin protein with Boeravinone M and Boeravinone E showed that the latter’s binding increased the compactness, effectively modulating the stability and function.…”
Section: Methodsmentioning
confidence: 99%
“…The pharmacophore model was developed by aligning the structures of the ten approved FDA active compounds against COVID-19 (training set), which were very well aligned and are present in Supplementary Information, Figures S1 and S2 [45,46]. Supplementary Information, Figure S3, shows the pharmacophore model derived thereof.…”
Section: Pharmacophore Analysismentioning
confidence: 99%