Topological model for the prediction of MRP1 inhibitory activity of pyrrolopyrimidines and templates derived from pyrrolopyrimidine

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Abstract

Relationship between Wiener’s index—a distance-based topological descriptor and multidrug-resistance-associated protein (MRP1) inhibitory activity of pyrrolopyrimidines and their derivatives has been investigated. A dataset comprising of 82 analogues of pyrrolopyrimidine was selected for the present study. The values of Wiener’s index were computed for each of the 82 analogues using an in-house computer program. Resultant data were analyzed and a suitable model was developed after identification of the active range. Subsequently, a biological activity was assigned to each analogue involved in the dataset using this model, which was then compared with the reported MRP1 inhibitory activity. Accuracy of prediction was found to be 88% using model based on Wiener’s index.

Graphical abstract

Wiener’s index—a distance-based topological descriptor has been successfully employed for development of a model for prediction of MRP1 inhibitory activity of pyrrolopyrimidines and their derivatives. Active range of the proposed model possesses vast potential for providing lead structures for development of potent inhibitors of MRP1.

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