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Quantum‐connectivity descriptors in modeling solubility of environmentally important organic compounds
Author(s) -
Estrada Ernesto,
Delgado Eduardo J.,
Alderete Joel B.,
Jaña Gonzalo A.
Publication year - 2004
Publication title -
journal of computational chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.907
H-Index - 188
eISSN - 1096-987X
pISSN - 0192-8651
DOI - 10.1002/jcc.20099
Subject(s) - quantitative structure–activity relationship , solubility , quantum chemical , molecular descriptor , quantum , chemistry , biological system , topological index , set (abstract data type) , computational chemistry , mathematics , statistical physics , molecule , computer science , organic chemistry , physics , stereochemistry , quantum mechanics , biology , programming language
Abstract Quantum‐connectivity indices are topographic descriptors combining quantum‐chemical and topological information. They are used to describe the water solubility of a noncongeneric data set of organic compounds. A QSPR model is obtained with two quantum‐connectivity indices that accounts for more than 90% of the variance in the water solubility of these chemicals. This model is compared to other five QSPR models using constitutional, electrostatic, geometric, quantum‐chemical, and topological descriptors calculated by CODESSA. None of these models accounts for more than 85% of the variance in water solubility of the compounds in this data set. The QSPR model obtained with quantum‐connectivity indices is also better than that generated from the general pool of 508 CODESSA indices. Models with up to five variables were explored and compared with the model obtained here. It is shown that quantum‐connectivity indices contain more structural information than other classes of descriptors at least for describing the water solubility of these 53 chemicals. Structural interpretation of the QSPR model developed as well as the role of the quantum‐connectivity indices included in it are also analyzed. © 2004 Wiley Periodicals, Inc. J Comput Chem 25: 1787–1796, 2004