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2019
DOI: 10.1038/s41598-019-43232-4
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Computational prediction and in vitro validation of VEGFR1 as a novel protein target for 2,3,7,8-tetrachlorodibenzo-p-dioxin

Abstract: The toxic manifestations of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), an environmental contaminant, primarily depend on its ability to activate aryl hydrocarbon receptor (AhR), which is a ligand-dependent transcription factor belonging to the superfamily of basic-helix-loop-helix DNA-binding proteins. In the present study, we aimed to identify novel protein receptor targets for TCDD using computational and in vitro validation experiments. Interestingly, results from computational metho… Show more

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Cited by 7 publications
(5 citation statements)
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“…Molecular docking is a computational procedure that attempts to predict the non-covalent interactions of drug molecules (ligands) to larger macromolecules (target) [ 84 , 85 ]. The technique results in multiple leads that require experimental validation [ 86 , 87 , 88 ].…”
Section: Discussionmentioning
confidence: 99%
“…Molecular docking is a computational procedure that attempts to predict the non-covalent interactions of drug molecules (ligands) to larger macromolecules (target) [ 84 , 85 ]. The technique results in multiple leads that require experimental validation [ 86 , 87 , 88 ].…”
Section: Discussionmentioning
confidence: 99%
“…Portulaca oleracea (duckweed) is an annual succulent in the Portulacaceae family with slight hogweed or parsley which may reach 16 inches in height [36]. Molecular docking permits rapid screening of the sequences of amino acid through many coronaviruses' species such as SARS-CoV-2 [23,37]. The reported docking data were promised and suggest a potential inhibition against the newly pandemic COVID-19 from the currently accessible natural plants [19].…”
Section: Research Articlementioning
confidence: 99%
“…The Docked complexes were subjected to 500 iterative cycles with a radius offset of 0.4, a gradient of 0.01, and one minimization cycle [40,41]. The inhibition constants and binding energy are recorded in each docking simulation [37]. The ligands were designated based on the computed binding scores [2].…”
Section: Molecular Docking Studymentioning
confidence: 99%
“…After model validation, alignment of the protein sequences, and subsequent molecular docking conducted to evaluate the antiviral effect of the previously reported drugs, and natural sources against SARS-CoV-2 protease. The binding energies and the inhibition constants are reported in each case [ 44 ]. All of the compounds were optimized in their active physiological settings [ 51 ].…”
Section: Materials and Reagentsmentioning
confidence: 99%
“…In this work, the author conducting a computational approach, through applying a combination of virtual screening, and molecular docking techniques, to assess the ability of some potential drugs, inhibitory ligands and natural products for the non-covalent inhibition of the SARS-CoV-2 main protease [ 40 ] through conformational and molecular docking studies. Molecular docking allows quick identification of the amino acid sequences across many coronaviruses including SARS-CoV-2 [ 7 , 44 ]. The obtained docking results were hopeful and proposed a potential inhibition against the newly emerged COVID-19 from the presently accessible therapeutics [ 1 ].…”
Section: Introductionmentioning
confidence: 99%