• 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