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From bags of graphs to stereo subgraphs in order to predict molecule's properties

Abstract : Quantitative Structure Activity and Property Relationships (QSAR and QSPR), aim to predict properties of molecules thanks to computational techniques. In these fields, graphs provide a natural encoding of molecules. However some molecules may have a same graph but differ by the three dimensional orientation of their atoms in space. These molecules, called stereoisomers, may have different properties which cannot be correctly predicted using usual graph encodings. In a previous paper we proposed to encode the stereoisomerism property of each atom by a local subgraph. A kernel between bags of such subgraphs then provides a similarity measure incorporating stereoisomerism properties. However, such an approach does not take into account potential interactions between these subgrahs. We thus propose in this paper, a method to take these interactions into account hence providing a global point of view on molecules's stereoisomerism properties.
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Submitted on : Saturday, July 20, 2019 - 12:24:12 PM
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Pierre-Anthony Grenier, Luc Brun, D. Villemin. From bags of graphs to stereo subgraphs in order to predict molecule's properties. International Workshop on Graph-Based Representations in Pattern Recognition, 2015, Beijing, China. pp.305-314, ⟨10.1007/978-3-319-18224-7_30⟩. ⟨hal-01848014⟩



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