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Title: Matrix-based Molecular Descriptors for Prospective Virtual Compound Screening. Author: Grisoni F, Reker D, Schneider P, Friedrich L, Consonni V, Todeschini R, Koeberle A, Werz O, Schneider G. Journal: Mol Inform; 2017 Jan; 36(1-2):. PubMed ID: 27650559. Abstract: Molecular descriptors capture diverse structural information of molecules and are a prerequisite for ligand-based similarity searching. In this study, we introduce topological matrix-based descriptors to virtual screening for hit discovery. We evaluated the usefulness of matrix-based descriptors in a retrospective setting and compared them with topological pharmacophore descriptors. Special attention was given to the influence of data pre-processing and the applied similarity metric on the virtual screening performance. Overall, the MB descriptors showed a competitive and complementary performance to other descriptors. A prospective screen of a commercial compound library led to the discovery of a novel natural-product-derived cyclooxygenase-2 inhibitor predicted to interact differently with the target protein compared to the query compound ibuprofen. The results of our study motivate the use of matrix-based descriptors for molecular similarity-based virtual screening and scaffold hopping.[Abstract] [Full Text] [Related] [New Search]