Quantitative structure-activity relationships studies of CCR5 inhibitors and toxicity of aromatic compounds using gene expression programming

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@Article{Shi201049,
  author =       "Weimin Shi and Xiaoya Zhang and Qi Shen",
  title =        "Quantitative structure-activity relationships studies
                 of CCR5 inhibitors and toxicity of aromatic compounds
                 using gene expression programming",
  journal =      "European Journal of Medicinal Chemistry",
  volume =       "45",
  number =       "1",
  pages =        "49--54",
  year =         "2010",
  ISSN =         "0223-5234",
  DOI =          "doi:10.1016/j.ejmech.2009.09.022",
  URL =          "http://www.sciencedirect.com/science/article/B6VKY-4X7R7VB-9/2/d77fbd7fe283e1f43f090783bfbc5557",
  keywords =     "genetic algorithms, genetic programming, Quantitative
                 structure-activity relationship, Gene expression
                 programming, CCR5 inhibitor, Aromatic compounds",
  abstract =     "Quantitative structure-activity relationship (QSAR)
                 study of chemokine receptor 5 (CCR5) binding affinity
                 of substituted 1-(3,3-diphenylpropyl)-piperidinyl
                 amides and ureas and toxicity of aromatic compounds
                 have been performed. The gene expression programming
                 (GEP) was used to select variables and produce
                 nonlinear QSAR models simultaneously using the selected
                 variables. In our GEP implementation, a simple and
                 convenient method was proposed to infer the
                 K-expression from the number of arguments of the
                 function in a gene, without building the expression
                 tree. The results were compared to those obtained by
                 artificial neural network (ANN) and support vector
                 machine (SVM). It has been demonstrated that the GEP is
                 a useful tool for QSAR modelling.",
}

Genetic Programming entries for Weimin Shi Xiaoya Zhang Qi Shen

Citations