4.6 Article

3D-QSAR, molecular docking, molecular dynamics, and ADME/T analysis of marketed and newly designed flavonoids as inhibitors of Bcl-2 family proteins for targeting U-87 glioblastoma

Journal

JOURNAL OF CELLULAR BIOCHEMISTRY
Volume 123, Issue 2, Pages 390-405

Publisher

WILEY
DOI: 10.1002/jcb.30178

Keywords

3D-QSAR; Bcl-2 family proteins; flavonoids; glioblastoma; molecular dynamics

Funding

  1. Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences [EC/KNRC/99-55]

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Flavonoids show potential as a treatment for glioblastoma, with a reliable 3D-QSAR model predicting the activities of different compounds. Molecular docking and MD simulation highlight interactions with Bcl-2 proteins, while ADME/T analysis indicates further potential for investigation. Compound 54 stands out as a promising candidate for glioblastoma treatment.
Glioblastoma is the most common and destructive brain tumor with increasing complexity. Flavonoids are versatile natural compounds with the approved anticancer activity, which could be considered as a potential treatment for glioblastoma. A quantitative structure-activity relationship (QSAR) can provide adequate data for understanding the role of flavonoids structure against glioblastoma. The IC50 of various flavonoids for the U-87 cell line was used to prepare an adequate three-dimensional QSAR (3D-QSAR) model. The validation of the model was carried out using some statistical parameters such as R-2 and Q(2). Based on the QSAR model, the activities of other marketed and newly designed flavonoids were predicted. Molecular docking study and molecular dynamics (MD) simulation were conducted for better recognition of the interactions between the most active compounds and Bcl-2 family proteins. Moreover, an AMDE/T analysis was performed for the most active flavonoids. A reliable 3D-QSAR was performed with R-2 and Q(2) of 0.91 and 0.82. The molecular docking study revealed that BCL-XL has a higher binding affinity with the most active compounds, and the MD simulation showed that some residues of the BH3 domain, such as Phe97, Tyr101, Arg102, and Phe105 create remarkable hydrophobic interactions with the ligands. ADME/T analysis also showed the potential of the active compounds for further investigation. 3D-QSAR study is a beneficial method to evaluate and design anticancer compounds. Considering the results of the molecular docking study, MD simulation, and ADME/T analysis, the designed compound 54 could be considered as a potential treatment for glioblastoma.

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