Support vector machines in the prediction of mutagenicity of chemical compounds

In this paper we introduce the problem of predicting the mutagenic toxicity property of chemical compounds and we discuss how this can be partially formulated as a computational intelligence problem. Then we develop a statistical model based on a selected set of descriptors of the molecular structure. The classifier, that we derived from SVM methods, outperforms the available methods in performance and simplicity.