A series of N-carbonyl-functionalized ureas, carbamates and thiocarbamates derivatives (or N-Chloro sulfonyl isocyanate “N-CSI”) were involved in linear and nonlinear physicochemical quantitative structure-activity ...A series of N-carbonyl-functionalized ureas, carbamates and thiocarbamates derivatives (or N-Chloro sulfonyl isocyanate “N-CSI”) were involved in linear and nonlinear physicochemical quantitative structure-activity relationship “QSAR” analysis to find out the structural keys to control the inhibition against Sterol O-Acyl-Transferase-1 “SOAT-1”. The results indicate the important effects of geometrical and chemical descriptors on the inhibitory activity of SOAT-1. The molecules were also screened for three-dimensional molecular docking on the crystal structure of ACAT-1 (1WL5 for ACAT-1, PDB). A comparison between 2D-QSAR and 3D molecular docking studies shows that the latter confirm the first results and represent a good prediction of the chemical and physical nature of interactions between our drug molecules and enzyme SOAT-1.展开更多
Quantitative structure–activity relationship (QSAR) models were developed to predict for CCR5 binding affinity of substituted 1-(3, 3-diphenylpropyl)-piperidinyl amides and ureas using multiple linear regression (MLR...Quantitative structure–activity relationship (QSAR) models were developed to predict for CCR5 binding affinity of substituted 1-(3, 3-diphenylpropyl)-piperidinyl amides and ureas using multiple linear regression (MLR) and artificial neural network (ANN) techniques. A model with four descriptors, including Hydrogen-bonding donors HBD(R7), the partition coefficient between n-octanol and water logP and logP(R1) and Molecular weight MW(R7), showed good statistics both in the regression and artificial neural network with a configuration of (4-3-1) by using Bayesian and Leven-berg-Marquardt Methods. Comparison of the descriptor’s contribution obtained in MLR and ANN analysis shows that the contribution of some of the descriptors to activity may be non-linear.展开更多
文摘A series of N-carbonyl-functionalized ureas, carbamates and thiocarbamates derivatives (or N-Chloro sulfonyl isocyanate “N-CSI”) were involved in linear and nonlinear physicochemical quantitative structure-activity relationship “QSAR” analysis to find out the structural keys to control the inhibition against Sterol O-Acyl-Transferase-1 “SOAT-1”. The results indicate the important effects of geometrical and chemical descriptors on the inhibitory activity of SOAT-1. The molecules were also screened for three-dimensional molecular docking on the crystal structure of ACAT-1 (1WL5 for ACAT-1, PDB). A comparison between 2D-QSAR and 3D molecular docking studies shows that the latter confirm the first results and represent a good prediction of the chemical and physical nature of interactions between our drug molecules and enzyme SOAT-1.
基金The authors thank Centre National de la Recherche Sci-entifique et Technique(CNRST)for funding this project under the RS program.
文摘Quantitative structure–activity relationship (QSAR) models were developed to predict for CCR5 binding affinity of substituted 1-(3, 3-diphenylpropyl)-piperidinyl amides and ureas using multiple linear regression (MLR) and artificial neural network (ANN) techniques. A model with four descriptors, including Hydrogen-bonding donors HBD(R7), the partition coefficient between n-octanol and water logP and logP(R1) and Molecular weight MW(R7), showed good statistics both in the regression and artificial neural network with a configuration of (4-3-1) by using Bayesian and Leven-berg-Marquardt Methods. Comparison of the descriptor’s contribution obtained in MLR and ANN analysis shows that the contribution of some of the descriptors to activity may be non-linear.
