2019
DOI: 10.1177/1177932218821371
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Potential Anti-Cancer Flavonoids Isolated From Caesalpinia bonduc Young Twigs and Leaves: Molecular Docking and In Silico Studies

Abstract: Tyrosine kinase (TK), vascular endothelial growth factor (VEGF), and matrix metalloproteinases (MMP) are important cancer therapeutic target proteins. Based on reported anti-cancer and cytotoxic activities of Caesalpinia bonduc, this study isolated phytochemicals from young twigs and leaves of C bonduc and identified the interaction between them and cancer target proteins (TK, VEGF, and MMP) in silico. AutoDock Vina, iGEMDOCK, and analysis of pharmacokinetic and pharmacodynamic properties of the isolated bioac… Show more

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Cited by 57 publications
(35 citation statements)
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“…The best binding conformation of phytocompounds against target proteins were determined based on the lowest total binding energy among the different conformations generated. The identified phytocompounds were imported into the iGEMDOCK graphical user interface and were sorted by the post-docking analysis based on their binding energies and compound fitness score measured by the iGEMDOCK docking algorithm 64 . To determine the relative strengths of the binding interactions of the best identified phytocompound, screening for its best binding pose and the series of energy values, such as binding energy, ligand efficiency, inhibition constant and Van der Waals (VDW) + hydrogen bonding (Hbond) + desolvation energy of each target protein, were analyzed using the AutoDOCK program.…”
Section: Discussionmentioning
confidence: 99%
“…The best binding conformation of phytocompounds against target proteins were determined based on the lowest total binding energy among the different conformations generated. The identified phytocompounds were imported into the iGEMDOCK graphical user interface and were sorted by the post-docking analysis based on their binding energies and compound fitness score measured by the iGEMDOCK docking algorithm 64 . To determine the relative strengths of the binding interactions of the best identified phytocompound, screening for its best binding pose and the series of energy values, such as binding energy, ligand efficiency, inhibition constant and Van der Waals (VDW) + hydrogen bonding (Hbond) + desolvation energy of each target protein, were analyzed using the AutoDOCK program.…”
Section: Discussionmentioning
confidence: 99%
“…In lead compound development, compliance of test compound physicochemical properties (molecular mass, number of hydrogen bond donors and acceptors and so on) to Lipinski rule of 5 (RO5) is imperative to avoid failure during clinical trials [35, 36]. Compounds that pass RO5 (usually with none or one default) are predicted to have optimal pharmacokinetic properties, consequently subjecting them further to molecular docking [13]. Since all compounds passed RO5, they may exhibit good pharmacokinetic properties.…”
Section: Discussionmentioning
confidence: 99%
“…The structures of the GC-MS identified compounds with ≥5% abundance were prepared as reported by Iheagwam et al [13]. The 3D structure of α -glucosidase and α -amylase was modelled using the crystal structures with PDB codes 5kzw and 1b2y, respectively, obtained from RCSB protein data bank as templates in SWISS-MODEL [14].…”
Section: Methodsmentioning
confidence: 99%
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“…Quercetin (Que), a flavonoid that is a permanent component in human diets as well as an agent in traditional Chinese medicine, has been widely used to treat cancer for a longtime. 10,11 However, the exact antitumor mechanism of Que is unclear. Several studies have showed that Que increased reactive oxygen species (ROS) production in hepatocellular cancer and prevented lipid oxidation in the cell membrane, whereas other studies have indicated that Que could increase apoptotic rates in cancer cells.…”
Section: Introductionmentioning
confidence: 99%