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Quantitative structure activity relationship model for predicting the depletion percentage of skin allergic chemical substances of glutathione

机译:预测谷胱甘肽皮肤过敏化学物质耗竭率的定量结构活性关系模型

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A quantitative model was developed to predict the depletion percentage of glutathione (DPG) compounds by 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 compounds. The GEP method produced a nonlinear and five-descriptor quantitative model with a mean error and a correlation coefficient of 10.52 and 0.94 for the training set, 22.80 and 0.85 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 heuristic method.
机译:建立了定量模型以通过基因表达程序设计(GEP)预测谷胱甘肽(DPG)化合物的消耗百分比。每种化合物都由几个计算出的结构描述符表示,这些描述符涉及化合物的组成,拓扑,几何,静电和量子化学特征。 GEP方法生成了一个非线性和五描述定量模型,其训练集的平均误差和相关系数分别为10.52和0.94,测试集的相关系数分别为22.80和0.85。结果表明,GEP预测结果与实验结果吻合较好,优于启发式方法。

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