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A series of N-substituted-quinolinone-3-aminoamides and their hybrids containing the alpha-lipoic acid functionality were designed and synthesized as potential bifunctional agents combining antioxidant and anti-inflammatory activity. The new compounds were evaluated for their antioxidant activity and for their ability to inhibit in vitro lipoxygenase as well as for their anti-inflammatory activity in vivo. In general, the derivatives were found to be potent antioxidant or anti-inflammatory agents. The results are discussed in terms of structure-activity relationships and an attempt is made to define the structural features required for activity.

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In this study, we present a new model that has been developed for the prediction of θ (lower critical solution temperature) using a database of 169 data points that include 12 polymers and 67 solvents. For the characterization of polymer and solvent molecules, a number of molecular descriptors (topological, physicochemical,steric and electronic) were examined. The best subset of descriptors was selected using the elimination selection-stepwise regression method. Multiple linear regression (MLR) served as the statistical tool to explore the potential correlation among the molecular descriptors and the experimental data. The prediction accuracy of the MLR model was tested using the leave-one-out cross validation procedure, validation through an external test set and the Y-randomization evaluation technique. The domain of applicability was finally determined to identify the reliable predictions.