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CORAL: Classification Model for Predictions of Anti-Sarcoma Activity

[ Vol. 12 , Issue. 24 ]


A.A. Toropov, A.P. Toropova, E. Benfenati, G. Gini, D. Leszczynska and J. Leszczynski   Pages 2741 - 2744 ( 4 )


A modified version of the CORAL software ( allows building up the classification model for the case of the Yes/No data on the anti-sarcoma activity of organic compounds. Three random splits into the sub-training, calibration, and test sets of the data for 3017 compounds were examined. The performance of the proposed approach is satisfactory. The average values of the statistical characteristics for external test set on three random splits are as follows: n=1173-1234, sensitivity = 0.8903±0.0390, specificity = 0.9869±0.0013, and accuracy = 0.9759±0.0043. Mechanistic interpretation of the suggested model is discussed.


QSAR, Monte Carlo method, CORAL software, classification model, anti-sarcoma activity


Istituto di Ricerche Farmacologiche Mario Negri, 20156, Via La Masa 19, Milano, Italy.

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