Literature DB >> 22641453

CORAL: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical.

A A Toropov, A P Toropova, B F Rasulev, E Benfenati, G Gini, D Leszczynska, J Leszczynski.   

Abstract

The rate constants (K(OH)) of reactions between 78 organic aromatic pollutants and hydroxyl radical were examined. Simplified molecular input line entry system was used as representation of the molecular structure of the pollutants. Quantitative structure-property relationships was developed using CORAL software (http://www.insilico.eu/CORAL) for four random splits of the data into the subtraining, calibration, and test sets. The obtained results reveal good predictive potential of the applied approach: correlation coefficients (r(2)) for the test sets of the four random splits are 0.75, 0.91, 0.84, and 0.80. Using the Monte Carlo method CORAL software generated the optimal descriptors for one-variable models. The reproducibility of each model was tested performing three runs of the Monte Carlo optimization. The current data were compared to previous results and discussed.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22641453     DOI: 10.1002/jcc.23022

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  3 in total

1.  Modeling the pH and temperature dependence of aqueousphase hydroxyl radical reaction rate constants of organic micropollutants using QSPR approach.

Authors:  Shikha Gupta; Nikita Basant
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-16       Impact factor: 4.223

2.  The conformation-independent QSPR approach for predicting the oxidation rate constant of water micropollutants.

Authors:  Erlinda V Ortiz; Daniel O Bennardi; Daniel E Bacelo; Silvina E Fioressi; Pablo R Duchowicz
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-03       Impact factor: 4.223

3.  Amino substituted nitrogen heterocycle ureas as kinase insert domain containing receptor (KDR) inhibitors: Performance of structure-activity relationship approaches.

Authors:  Hayriye Yilmaz; Natalia Sizochenko; Bakhtiyor Rasulev; Andrey Toropov; Yahya Guzel; Viktor Kuz'min; Danuta Leszczynska; Jerzy Leszczynski
Journal:  J Food Drug Anal       Date:  2015-04-01       Impact factor: 6.157

  3 in total

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