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J Biomol Struct Dyn ; 41(24): 14757-14770, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-36995997

RESUMEN

In search of new anti-breast cancer agents, the present study envisaged the design and synthesis of a series of benzopyran-chalcones. All the synthesized compounds were assayed for their in-vitro anticancer activity against ER + MCF-7 and triple-negative MDA-MB-231 breast cancer cell lines using SRB assay. The synthesized compounds were found active against ER + MCF-7 cell lines. Based on the in-vitro data, in-silico analysis was performed using hormone-dependent breast cancer targets such as hER-α and aromatase because the compounds showed activity against MCF-7 cells and none was active against MDA-MB-231. The in-silico results supported the in-vitro anticancer activity suggesting the affinity of compounds toward hormone-dependant breast cancer. Compounds 4A1 to 4A3 were found to be most cytotoxic to MCF-7 cells with IC50 values of 31.87, 22.95, and 20.34 µg/ml, respectively (Doxorubicin IC50: <10 µg/ml). In addition, they showed the interactions with the amino acid residues of a binding cavity of an hER-α. Furthermore, quantitative structure-activity relationship (QSAR) studies were performed to reveal the vital structural features required for anticancer activity against breast cancer. Molecular dynamic simulation studies of hER-α and 4A3 in comparison with the raloxifene complex ensure the appropriate refinement of compounds in the dynamic system. Additionally, a generated pharmacophore model explored the essential pharmacophoric features of the synthesized scaffolds with respect to clinically used drug molecules for optimal hormone-dependant anti-breast cancer activity.Communicated by Ramaswamy H. Sarma.


Asunto(s)
Antineoplásicos , Neoplasias , Femenino , Humanos , Simulación del Acoplamiento Molecular , Relación Estructura-Actividad Cuantitativa , Farmacóforo , Cromonas/farmacología , Antineoplásicos/química , Células MCF-7 , Hormonas/farmacología , Proliferación Celular , Estructura Molecular , Ensayos de Selección de Medicamentos Antitumorales
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