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Pharmacophore Model Generation of P2Y12 Inhibitor

机译:P2Y12抑制剂的药理模型生成

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摘要

A three dimensional pharmacophore model was generated for the molecules which are responsible for anti-platelet aggregation activities targeting platelet adp receptor (P2Y12). 24 structrurally diverse molecules were selected as training set to generate the hypothesis using Catalyst software 4.11. The best hypothesis comprises one hydrogen-bond acceptor, one aromatic ring, three hydrophobic points and one excluded volume and shows high correlation coefficient (0.999) as well as low RMS deviation (1.24). It has been further validated towards a test set and shows high correlation coefficient of test set (0.978). The values of effectively active hit A% and comprehensive evaluation index CAI are respectively 40% and 2.795. The results show that the pharmacophore we built is reliable and can be used to screen database. Furthermore, the best hypothesis was used to screen TCMD (Version 2005) database and the four hit compounds of higher predicted activity were the reported anti-platelet aggregation inhibitions, which may be useful for further study.
机译:对于负责靶向血小板adp受体(P2Y12)的抗血小板聚集活性的分子,生成了三维药效团模型。使用Catalyst软件4.11选择24个结构上不同的分子作为训练集,以生成假设。最佳假设包括一个氢键受体,一个芳环,三个疏水点和一个排除体积,并显示出高相关系数(0.999)和低RMS偏差(1.24)。它已针对测试集进行了进一步验证,并显示出测试集的高相关系数(0.978)。有效主动命中率A%和综合评价指数CAI分别为40%和2.795。结果表明,我们建立的药效团是可靠的,可用于筛选数据库。此外,最好的假设被用来筛选TCMD(2005版)数据库,具有较高预测活性的四种命中化合物是报道的抗血小板凝集抑制作用,可能对进一步研究有用。

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