Predicting water solubility and octanol water partition coefficient for carbon nanotubes based on the chiral vector

Components of the chiral vector of carbon nanotubes have been examined in role of structural descriptors. Two-variable models of water solubility and octanol water partition coefficient calculated with components of the chiral vectors have quite good statistical characteristics. These are in case of the water solubility: n = 8, r(2) = 0.99998, s = 0.05338, F = 126,611 (training set); n = 8, r(2) = 0.9999, s = 0.09329, F = 674,556 (test set) and in case of octanol water partition coefficient: n = 8, r(2) = 0.9991, s = 0.3664, F = 2927 (training set); n = 8, r(2) = 0.9996, s = 0.2870 F= 5928 (test set). (c) 2007 Published by Elsevier Ltd.