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In this paper we propose a new method for the generation of 2D-QSAR models for the prediction of activity values of chemicals. Maximum common substructures which are extracted from the data set are used for molecule classification in a tree, where the node of the tree represents molecules or common structures to groups of molecules and the arcs of the tree represent non isomorphic substructures between...
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