2000 | OriginalPaper | Buchkapitel
Full molecular quantum similarity matrices as QSAR descriptors
verfasst von : Ramon Carbó-Dorca, David Robert, Lluís Amat, Xavier Gironés, Emili Besalú
Erschienen in: Molecular Quantum Similarity in QSAR and Drug Design
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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In this chapter, a scheme of the application of molecular quantum similarity matrices to describe a molecular property of interest is exposed. Quantum similarity matrices need to be conveniently transformed when employed as descriptor source in QSAR procedures. In order to describe the usual transformations, dimensionality reduction and variable selection techniques will be discussed. Combination of different quantum similarity matrices, constituting the Tuned QSAR model, is also discussed. Since the only relevant test for the procedure protocol is its application on real cases, quantum similarity matrices will be used to study three different molecular sets in order to provide the reader with reliable quantitative equations for activity prediction.