• Title of article

    Quantitative structure activity relationship study on EC50 of anti-HIV drugs

  • Author/Authors

    Si، نويسنده , , Hongzong and Yuan، نويسنده , , Shuping and Zhang، نويسنده , , Kejun and Fu، نويسنده , , Aiping and Duan، نويسنده , , Yun-Bo and Hu، نويسنده , , Zhide، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2008
  • Pages
    10
  • From page
    15
  • To page
    24
  • Abstract
    A quantitative model was developed to predict the EC50 of nucleoside by the gene expression programming (GEP). Each kind of compound was represented by several calculated structural descriptors involving constitutional, topological, geometrical, electrostatic and quantum-chemical features of the compound. The GEP method produced a nonlinear quantitative model of the five-descriptor with a correlation coefficient and a mean error of 0.91 and 0.41 for the training set, 0.63 and 0.67 for the test set, respectively. It is shown that the GEP predicted results are in good agreement with experimental ones, better than those of the support vector machine.
  • Keywords
    Gene expression programming (GEP) , Quantitative structure activity relationship (QSAR) , Support vector machine (SVM) , Heuristic method , nucleoside , Human immunodeficiency virus (HIV)
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Serial Year
    2008
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Record number

    1462018