22688-78-4Relevant articles and documents
FLAVONOIDS OF THE FLOWERS OF TAMARIX NILOTICA
Nawwar, M. A. M.,Souleman, A. M. A.,Buddrus, J.,Linscheid, M.
, p. 2347 - 2350 (1984)
The ethyl ester of kaempferol 3-O-β-D-glucuronide, the methyl and ethyl esters of quercetin 3-O-β-D-glucuronide have been isolated from an aqueous acetone extract of the flowers of Tamarix nilotica.In addition kaempferol 3-O-sulphate-7,4'-dimethyl ether and the free aglycones were isolated.The structures were established by routine methods, by FAB-MS and by 13C NMR spectral measurements. - Key Word Index: Tamarix nilotica; Tamaricaceae; flowers; kaempferol 3-O-β-D-glucuronide 6''-ethyl ester; quercetin 3-O-β-D-glucuronide 6''-methyl ester; quercetin 3-O-β-D-glucuronide 6''-ethyl ester; kaempferol 3-O-sulphate-7,4'-dimethyl ether.
Accurate prediction of glucuronidation of structurally diverse phenolics by human UGT1A9 using combined experimental and in silico approaches
Wu, Baojian,Wang, Xiaoqiang,Zhang, Shuxing,Hu, Ming
experimental part, p. 1544 - 1561 (2012/07/27)
Purpose: Catalytic selectivity of human UGT1A9, an important membrane-bound enzyme catalyzing glucuronidation of xenobiotics, was determined experimentally using 145 phenolics and analyzed by 3D-QSAR methods. Methods: Catalytic efficiency of UGT1A9 was determined by kinetic profiling. Quantitative structure activity relationships were analyzed using CoMFA and CoMSIA techniques. Molecular alignment of substrate structures was made by superimposing the glucuronidation site and its adjacent aromatic ring to achieve maximal steric overlap. For a substrate with multiple active glucuronidation sites, each site was considered a separate substrate. Results: 3D-QSAR analyses produced statistically reliable models with good predictive power (CoMFA: q 2=0.548, r2=0.949, r pred 2 =0.775; CoMSIA: q2=0.579, r2=0.876, rpred2 =0.700). Contour coefficient maps were applied to elucidate structural features among substrates that are responsible for selectivity differences. Contour coefficient maps were overlaid in the catalytic pocket of a homology model of UGT1A9, enabling identification of the UGT1A9 catalytic pocket with a high degree of confidence. Conclusion: CoMFA/CoMSIA models can predict substrate selectivity and in vitro clearance of UGT1A9. Our findings also provide a possible molecular basis for understanding UGT1A9 functions and substrate selectivity.
Three-dimensional quantitative structure-activity relationship studies on UGT1A9-mediated 3-O-glucuronidation of natural flavonols using a pharmacophore-based comparative molecular field analysis model
Wu, Baojian,Morrow, John Kenneth,Singh, Rashim,Zhang, Shuxing,Hu, Ming
experimental part, p. 403 - 413 (2011/12/16)
Glucuronidation is often recognized as one of the rate-determining factors that limit the bioavailability of flavonols. Hence, design and synthesis of more bioavailable flavonols would benefit from the establishment of predictive models of glucuronidation using kinetic parameters [e.g., Km, V max, intrinsic clearance (CLint) = Vmax/K m] derived for flavonols. This article aims to construct position (3-OH)-specific comparative molecular field analysis (CoMFA) models to describe UDP-glucuronosyltransferase (UGT) 1A9-mediated glucuronidation of flavonols, which can be used to design poor UGT1A9 substrates. The kinetics of recombinant UGT1A9-mediated 3-O-glucuronidation of 30 flavonols was characterized, and kinetic parameters (Km, Vmax, CLint) were obtained. The observed Km, Vmax, and CLint values of 3-O-glucuronidation ranged from 0.04 to 0.68 μM, 0.04 to 12.95 nmol/mg/min, and 0.06 to 109.60 ml/mg/min, respectively. To model UGT1A9-mediated glucuronidation, 30 flavonols were split into the training (23 compounds) and test (7 compounds) sets. These flavonols were then aligned by mapping the flavonols to specific common feature pharmacophores, which were used to construct CoMFA models of Vmax and CLint, respectively. The derived CoMFA models possessed good internal and external consistency and showed statistical significance and substantive predictive abilities (Vmax model: q2 = 0.738, r2 = 0.976, rpred2 = 0.735; CLint model: q2 = 0.561, r2 = 0.938, rpred2 = 0.630). The contour maps derived from CoMFA modeling clearly indicate structural characteristics associated with rapid or slow 3-O-glucuronidation. In conclusion, the approach of coupling CoMFA analysis with a pharmacophore-based structural alignment is viable for constructing a predictive model for regiospecific glucuronidation rates of flavonols by UGT1A9. Copyright
