Determination of QSAR of aldose reductase inhibitors using an RBF network

Increasingly drug discovery is turning to in-silico methods to find potential enzyme or protein-protein inhibitors. The quantitative structure-activity relationship (QSAR) is commonly used to find potential inhibitors in the search for new drugs. In this paper we propose to use a radial basis function (RBF) network to determine the QSAR of aldose reductase inhibitors (ARIs). We find that the RBF network shows promising results of predicting the bioactivities of the ARIs.