Quantitative structure-activity relationships studies of CCR5 inhibitors and toxicity of aromatic compounds using gene expression programming
Created by W.Langdon from
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- @Article{Shi201049,
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author = "Weimin Shi and Xiaoya Zhang and Qi Shen",
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title = "Quantitative structure-activity relationships studies
of CCR5 inhibitors and toxicity of aromatic compounds
using gene expression programming",
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journal = "European Journal of Medicinal Chemistry",
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volume = "45",
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number = "1",
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pages = "49--54",
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year = "2010",
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ISSN = "0223-5234",
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DOI = "doi:10.1016/j.ejmech.2009.09.022",
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URL = "http://www.sciencedirect.com/science/article/B6VKY-4X7R7VB-9/2/d77fbd7fe283e1f43f090783bfbc5557",
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keywords = "genetic algorithms, genetic programming, Quantitative
structure-activity relationship, Gene expression
programming, CCR5 inhibitor, Aromatic compounds",
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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