基于人工神经网络研究小鼠抗搏击能力

1)广东轻工职业技术学院体育部,广东广州 510300; 2)徐州工程学院材料与化学工程学院,江苏徐州 221018

计算化学; 苯二氮艹卓恶唑衍生物; 雄性小鼠; 抗搏击活性; 电性距离矢量; 人工神经网络; 定量构效关系

Study on anti-fighting activity of mice by artificial neural network
ZHU Lilan1 and FENG Changjun2

1)Department of Physical Education, Guangdong Industry Polytechnic, Guangzhou 510300, Guangdong Province, P.R.China;2)School of Material and Chemical Engineering, Xuzhou University of Technology, Xuzhou 221018, Jiangsu Province, P.R.China

computational chemistry; benzodiazepinooxazole derivative; male mice; anti-fighting activity; molecular electronegativity distance vector; artificial neural network(ANN); quantitative structure-activity relationship(QSAR)

DOI: 10.3724/SP.J.1249.2021.03295

备注

为研究30种苯二氮艹卓恶唑衍生物对雄性小鼠抗搏击活性(E)的定量构效关系(quantitative structure-activity relationship, QSAR),按照分子的拓扑环境编程计算了30种化合物的电性距离矢量模(MD, D=1, 2, …, 91). 通过逐步回归方法,建立了E的3参数(M10、 M16和M59)QSAR模型. R2cv和VIF诊断结果显示,该模型具有良好的稳定性和预测能力. 将M10、 M16和M59作为人工神经网络的输入层结点,采用3:5:1的网络结构,利用BP算法获得BP-E模型,其相关系数的平方R2和标准偏差S分别为0.984和0.054,表明E与上述3参数具有良好的非线性关系. 根据进入模型的3个变量可知,影响苯二氮艹卓恶唑衍生物对雄性小鼠抗搏击活性的主要因素是—CH3、—CH2—、、—NH—和—OH(O=)等微观基团.
In order to study the quantitative structure-activity relationship(QSAR)of the anti-fighting activity E for 30 benzodiazepinooxazole derivatives against male mice, the molecular electronegativity distance vector MD(D=1, 2, …, 91)of these compounds is calculated according to molecular topological environment. The three-variable(M59, M16, M10)QSAR model of E for the compounds is constructed by stepwise regression method. The result demonstrates that the model is robust and has good prediction ability under R2cv, VIF tests. The M59, M16, M10 are used as the input neurons of artificial neural network(ANN), and a 3:5:1 network architecture is employed. A satisfying BP-E model is constructed with the back-propagation algorithm, with the correlation coefficient R2 and the standard error S being 0.984 and 0.054, respectively, showing that the relationship between E and the three structural parameters has a good nonlinear correlation. According to the three parameters of the model, it is clear that the dominant factors that impact the anti-fighting activity of benzodiazepineoxazole derivatives on male mice are the microscopic fragments: —CH3, —CH2—,, —NH— and —OH(O=).
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