Proposal and evaluation of a new norm index-based QSAR model to predict pEC50 and pCC50 activities of HEPT derivatives☆

The search and development of anti-HIV drugs is currently one of the most urgent tasks of pharmacological studies.In this work,a quantitative structure–activity relationship(QSAR) model based on some new norm indexes,was obtained to a series of more than 150 HEPT derivatives(1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine) to find their pEC_(50)(the required effective concentration to achieve 50% protection of MT-4 cells against the cytopathic effect of virus) and pCC_(50)(the required cytotoxic concentration to reduce visibility of 50% mock infected cell) activities.The model efficiencies were then validated using the leave-one-out cross validation(LOO-CV) and yrandomization test.Results indicated that this new model was efficient and could provide satisfactory results for prediction of pEC_(50) and pCC_(50) with the higher R_(train)~2 and the higher R_(test)~2.By using the leverage approach,the applicability domain of this model was further investigated and no response outlier was detected for HEPT derivatives involved in this work.Comparison results with reference methods demonstrated that this new method could result in significant improvements for predicting pEC_(50) and pCC_(50) of anti-HIV HEPT derivatives.Moreover,results shown in this present study suggested that these two absolutely different activities pEC_(50) and pCC_(50) of anti-HIV HEPT derivatives could be predicted well with a totally similar QSAR model,which indicated that this model might have the potential to be further utilized for other biological activities of HEPT derivatives.

Proposal and evaluation of a new norm index-based QSAR model to predict pEC50 and pCC50 activities of HEPT derivatives

The search and development of anti-HIV drugs is currently one of the most urgent tasks of pharmacological studies. In this work, a quantitative structure–activity relationship (QSAR) model based on some new norm indexes, was obtained to a series of more than 150 HEPT derivatives (1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine) to find their pEC50 (the required effective concentration to achieve 50%protection of MT-4 cel s against the cytopathic effect of virus) and pCC50 (the required cytotoxic concentration to reduce visibility of 50%mock infected cell) ac-tivities. The model efficiencies were then validated using the leave-one-out cross validation (LOO-CV) and y-randomization test. Results indicated that this new model was efficient and could provide satisfactory results for prediction of pEC50 and pCC50 with the higher Rt2rain and the higher Rt2est. By using the leverage approach, the appli-cability domain of this model was further investigated and no response outlier was detected for HEPT derivatives involved in this work. Comparison results with reference methods demonstrated that this new method could re-sult in significant improvements for predicting pEC50 and pCC50 of anti-HIV HEPT derivatives. Moreover, results shown in this present study suggested that these two absolutely different activities pEC50 and pCC50 of anti-HIV HEPT derivatives could be predicted well with a totally similar QSAR model, which indicated that this model might have the potential to be further utilized for other biological activities of HEPT derivatives.