Literature DB >> 16132102

Quantum chemical topology (QCT) descriptors as substitutes for appropriate Hammett constants.

P J Smith1, P L A Popelier.   

Abstract

A technique called quantum topological molecular similarity (QTMS) was recently proposed [J. Chem. Inf. Comput. Sci., 2001, 41, 764] in order to construct a variety of medicinal, ecological and physical organic QSAR/QSPRs, based on modern ab initio wave functions of geometry optimised molecules, in combination with quantum chemical topology (QCT). The current abundance of computing power can be utilised to inject realistic descriptors into QSAR/QSPRs. In previous work [J. Chem. Soc., Perkin Trans. 2, 2002, 1231] it was proven that a set of Hammett constants (sigma(p), sigma(m), sigma(I) and sigma(p)0) for a sizeable set of mono- and polysubstituted carboxylic acids can be replaced by QCT bond descriptors. Using QTMS and proper statistical validation we examined seven data sets in total. The first three sets (para-substituted phenols (sigma-), substituted toluenes (sigma+) and bromophenethylamines (sigma+)) corroborate that a wider class of Hammett constants can also be replaced by QCT descriptors. A fourth set (benzyl radicals) focuses on non-Hammett behaviour being superimposed on Hammett behaviour. QCT descriptors selectively correlate with Hammett behaviour. The QTMS analysis of the last three sets (toxicity of benzyl alcohols, chromatographic capacity factors of chalcones and herbicidal activity of 5-chloro-2,3-dicyanopyrazines) screens for false positives. This test is successfully passed in that QCT descriptors fail when lipophilicity/hydrophobicity is in charge. Hence, overall, the discriminatory capacity of QCT descriptors is established, in detecting Hammett behaviour and specifically replacing the Hammett constants by more modern and non-empirical descriptors.

Entities:  

Year:  2005        PMID: 16132102     DOI: 10.1039/b507024d

Source DB:  PubMed          Journal:  Org Biomol Chem        ISSN: 1477-0520            Impact factor:   3.876


  3 in total

1.  Modeling biophysical and biological properties from the characteristics of the molecular electron density, electron localization and delocalization matrices, and the electrostatic potential.

Authors:  Chérif F Matta
Journal:  J Comput Chem       Date:  2014-04-29       Impact factor: 3.376

2.  Predicting the photoinduced electron transfer thermodynamics in polyfluorinated 1,3,5-triarylpyrazolines based on multiple linear free energy relationships.

Authors:  Manjusha Verma; Aneese F Chaudhry; Christoph J Fahrni
Journal:  Org Biomol Chem       Date:  2009-02-20       Impact factor: 3.876

3.  Experimental Quantum Chemistry: A Hammett-inspired Fingerprinting of Substituent Effects.

Authors:  Francesco Sessa; Martina Olsson; Fredrik Söderberg; Fang Wang; Martin Rahm
Journal:  Chemphyschem       Date:  2021-02-22       Impact factor: 3.102

  3 in total

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