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Novel 2D TOMOCOMD-CARDD molecular descriptors: atom-based stochastic and non-stochastic bilinear indices and their QSPR applications

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Abstract

Novel atom-based molecular descriptors (MDs) based on a bilinear map similar to use defined in linear algebra are presented. These MDs, called “local (atom, group and atom-type) and total (global) bilinear indices”, are proposed here as a new molecular parametrization easily calculated from the 2D molecular information. The proposed non-stochastic and stochastic molecular fingerprints try to match molecular structure provided by the molecular topology by using the kth non-stochatic (Marrero-Ponce, J Chem Inf Comput Sci 44, 2010, 2004; Marrero-Ponce, Molecules 8, 687, 2003) and stochastic (Marrero-Ponce, et al. J Mol Struc (Theochem) 717, 67, 2005; Marrero-Ponce, Castillo-Garit, J Comput-Aided Mol Design 19, 369, 2005) graph–theoretic electronic-density matrices, M k and S k, respectively. That is to say, the kth non-stochastic and stochastic bilinear indices are calculated using M k and S k as matrix operators of bilinear transformations. Moreover, chemical information is codified by using different pair combinations of atomic weightings (atomic mass, polarizability, van der Waals volume, and electronegativity). The prediction ability in Quantitative Structure-Property Relationships (QSPR) of the new MDs was tested by analysing regressions of these MDs for six selected properties of octane isomers. It was clearly demonstrated that prediction ability was higher than those showed by other 2D/3D well-known sets of MDs. The obtained results suggest that with the present method it is possible to obtain a good estimation of these physicochemical properties for octanes. The approach described in the present report appears to be a prominent method to find quantitative models for description of physicochemical and biological properties.

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Authors and Affiliations

  1. Unit of Computer-Aided Molecular “Biosilico” Discovery and Bioinformatic Research (CAMD-BIR Unit), Department of Pharmacy, Faculty of Chemistry-Pharmacy, Central University of Las Villas, Santa Clara, 54830, Villa Clara, Cuba

    Yovani Marrero-Ponce & Sadiel E. Ortega-Broche

  2. Institut Universitari de Ciència Molecular, Universitat de València, Edifici d’Instituts de Paterna, Poligon la Coma s/n (detras de Canal Nou), P. O. Box 22085, 46071, Valencia, Spain

    Yovani Marrero-Ponce & Francisco Torrens

  3. Unidad de Investigación de Diseño de Fármacos y Conectividad Molecular, Departamento de Química Física, Facultad de Farmacia, Universitat de València, Valencia, Spain

    Yovani Marrero-Ponce & Ramón García-Domenech

  4. Faculty of Informatics, University of Cienfuegos, Cienfuegos, 59430, Cuba

    Vicente Romero Zaldivar

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  1. Yovani Marrero-Ponce
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Marrero-Ponce, Y., Torrens, F., García-Domenech, R. et al. Novel 2D TOMOCOMD-CARDD molecular descriptors: atom-based stochastic and non-stochastic bilinear indices and their QSPR applications. J Math Chem 44, 650–673 (2008). https://doi.org/10.1007/s10910-008-9389-0

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