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首页> 外文期刊>International Journal of Quantum Chemistry >A preliminary MTD-PLS study for androgen receptor binding of steroid compounds
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A preliminary MTD-PLS study for androgen receptor binding of steroid compounds

机译:MTD-PLS初步研究类固醇化合物与雄激素受体的结合

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The relative binding affinities (RBA) of a series of 30 steroids for Human Androgen Receptor (AR) were used to initiate a MTD-PLS study. The 3D structures of all the compounds were obtained through geometry optimization in the framework of AMI semiempirical quantum chemical method. The MTD hypermolecule (HM) was constructed, superposing these structures on the AR-bonded dihydrotestosterone (DHT) skeleton obtained from PDB (AR complex, ID 1137). The parameters characterizing the HM vertices were collected using: AM1 charges, XlogP fragmental values, calculated fragmental polarizabilities (from refractivities), volumes, and H-bond parameters (Raevsky's thermodynamic originated scale). The resulted QSAR data matrix was submitted to PCA (Principal Component Analysis) and PLS (Projections in Latent Structures) procedure (SIMCA P 9.0); five compounds were selected as test set, and the remaining 25 molecules were used as training set. In the PLS procedure supplementary chemical information was introduced, i.e. the steric effect was always considered detrimental, and the hydrophobic and van der Waals interactions were imposed to be beneficial. The initial PLS model using the entire training set has the following characteristics: R-y(2) = 0.584, Q(2) = 0.344. Based on distances to the model criterions (DMODX and DMODY), five compounds were eliminated and the obtained final model had the following characteristics: R-y(2) = 0.891, Q(2) = 0.591. For this the external predictivity on the test set was unsatisfactory. A tentative explanation for these behaviors is the weak information content of the input QSAR matrix for the present series comparatively with other successful MTD-PLS modeling published elsewhere. (c) 2007 Wiley Periodicals, Inc.
机译:一系列30种类固醇对人类雄激素受体(AR)的相对结合亲和力(RBA)用于启动MTD-PLS研究。在AMI半经验量子化学方法的框架内,通过几何优化获得了所有化合物的3D结构。构造了MTD超分子(HM),将这些结构叠加在从PDB(AR complex,ID 1137)获得的AR键合的二氢睾丸激素(DHT)骨架上。使用以下各项收集表征HM顶点的参数:AM1电荷,XlogP碎片值,计算出的碎片极化率(来自折射率),体积和H键参数(Raevsky的热力学起源标度)。将得到的QSAR数据矩阵提交给PCA(主成分分析)和PLS(潜在结构投影)过程(SIMCA P 9.0);选择了5种化合物作为测试集,其余25个分子用作训练集。在PLS程序中,引入了补充化学信息,即,空间效应始终被认为是有害的,并且疏水和范德华相互作用被认为是有益的。使用整个训练集的初始PLS模型具有以下特征:R-y(2)= 0.584,Q(2)= 0.344。基于到模型标准(DMODX和DMODY)的距离,消除了五个化合物,获得的最终模型具有以下特征:R-y(2)= 0.891,Q(2)= 0.591。为此,测试集的外部预测性不令人满意。对这些行为的尝试性解释是,与在其他地方发表的其他成功的MTD-PLS建模相比,本系列的输入QSAR矩阵的信息内容较弱。 (c)2007年Wiley Periodicals,Inc.

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