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dc.contributor.authorAdebesin, Ayomide Oluwadarasimivi
dc.contributor.otherAyodele, Abigail Oluwakemivi
dc.contributor.otherOmotoso, Olabodevi
dc.contributor.otherAkinnusi, Precious Ayorindevi
dc.contributor.otherOlubode, Samuel Olawalevi
dc.date.accessioned2023-03-31T02:37:29Z-
dc.date.available2023-03-31T02:37:29Z-
dc.date.issued2022-
dc.identifier.issn2522-8307vi
dc.identifier.urihttp://tailieuso.tlu.edu.vn/handle/DHTL/12852-
dc.description.abstractThis study features a computational approach to screen phytochemicals of V. vinifera against β-catenin, a therapeutic target protein that takes part in carcinogenesis through the wnt pathway by employing molecular docking, pharmacokinetics screening, MM/GBSA, and pharmacophore modeling approach. The molecular docking and binding energy study (Figs. 2 and 3) predicted seven compounds as lead compounds that show a better inhibitory potential when compared with the standard compounds, leucovorin Calcium and Xeloda.vi
dc.description.urihttps://link.springer.com/article/10.1186/s42269-022-00872-3vi
dc.languageen_USvi
dc.relation.ispartofseriesBulletin of the National Research Centre, Volume 46 (2022), Article number: 183vi
dc.subjectWnt/β-catenin signaling pathwayvi
dc.subjectVitis viniferavi
dc.subjectMolecular dockingvi
dc.subjectADMETvi
dc.subjectMM/GBSAvi
dc.subjectPharmacophore modelingvi
dc.titleComputational evaluation of bioactive compounds from Vitis vinifera as a novel β-catenin inhibitor for cancer treatmentvi
dc.typeBBvi
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