Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices, J. Chem. Inf. Comput. Sci., 2001, 41 (6), pp 1488–1493
The molecular weight and electrotopological E-state indices were used to estimate by Artificial Neural Networks aqueous solubility for a diverse set of 1291 organic compounds. The neural network with 33-4-1 neurons provided highly predictive results with r2 = 0.91 and RMS = 0.62.