Title of article
QSAR Study of conductors polymers based on thiophene
Author/Authors
K. Dguigui، نويسنده , , M. Mbarki، نويسنده , , M. Elhallaoui، نويسنده , , M. Elasri، نويسنده , , M. Bouachrine ، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
8
From page
175
To page
182
Abstract
A quantitative structure-activity relationship (QSAR) model was constructed to predict the electrical conductivity of 46 compounds of monothiophene derivative. In the present study where used to establish QSARs based on quantum mechanically derived molecular descriptors, hydrophobicity and steric effects. The structure-activity relationships were discussed by multiple linaire regression (MLR) r =0,91 and neural network (NN) r =0,95. The correlation coefficient obtained with MLR and NN is fairly good to evaluate a quantitative model. To test the performance of this model we have used the cross validation method (r =0,85).
Keywords
Cross validation (CV) , Quantitative structure activity relationships (QSAR) , Conductivity o , multiple linear regressions (MLR) , Neural network (NN)
Journal title
Journal of Materials and Environmental Science
Serial Year
2010
Journal title
Journal of Materials and Environmental Science
Record number
684037
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