Background: Quantitative structure activity relationship was carried out to study a series of PIM1 and PIM2 inhibitors.\nThe present study was performed on twenty-five substituted 5-(1H-indol-5-yl)-1,3,4-thiadiazols as PIM1 and PIM2\ninhibitors having pIC50 ranging from 5.55 to 9 �¼M and from 4.66 to 8.22 �¼M, respectively, using genetic function algorithm\nfor variable selection and multiple linear regression analysis (MLR) to establish unambiguous and simple QSAR\nmodels based on topological molecular descriptors.\nResults: Results showed that the MLR predict activity in a satisfactory manner for both activities. Consequently, the\naim of the current study is twofold, first, a simple linear QSAR model was developed, which could be easily handled\nby chemist to screen chemical databases, or design for new potent PIM1 and PIM2 inhibitors. Second, the outcomes\nextracted from the current study were exploited to predict the PIM inhibitory activity of some studied compound\nanalogues.\nConclusions: The goal of this study is to develop easy and convenient QSAR model could be handled by everyone to\nscreen chemical databases or to design newly PIM1 and PIM2 inhibitors derived from 5-(1H-indol-5-yl)-1,3,4-thiadiazol.
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