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Citation: TAN Ning-Xin, LI Juan-Qin, LI Ze-Rong, LI Xiang-Yuan. Prediction of Antitumor Activity for Epothilone Analogues Based on 3D Molecular Descriptors[J]. Acta Physico-Chimica Sinica, ;2006, 22(04): 397-402. doi: 10.1016/S1872-1508(06)60011-9 shu

Prediction of Antitumor Activity for Epothilone Analogues Based on 3D Molecular Descriptors

1.
College of Chemical Engineering; College of Chemistry, Sichuan University, Chengdu 610065, P. R. China

Received Date: 3 August 2005
Available Online: 10 April 2006

In order to predict the antitumor activities of various epothilone analogues, a set of molecular descriptors, including electronic, topological, and geometric descriptors, and molecular shape indices (K-order moment shape indices), were calculated to characterize the structural and physicochemical properties for 150 compounds. The 30 descriptors selected with genetic al rithm were employed to establish the classification and prediction model of epothilone analogues by using support vector machine (SVM). This SVM system gives a total prediction accuracy of 83.3% by the leave-one-out method and that of 80.6% by the 5-fold cross-validation method. The present study indicates that K-order moment shape indices are useful for description of configuration isomers, and SVM is a facilitating tool in prediction of antitumor activity of epothilone analogues.
- Support vector machine;Epothilone;Molecular descriptors;K-order moment shape index
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