首页> 外文期刊>Bulletin of the Korean Chemical Society >Docking, CoMFA and CoMSIA Studies of a Series of N-Benzoylated Phenoxazines and Phenothiazines Derivatives as Antiproliferative Agents
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Docking, CoMFA and CoMSIA Studies of a Series of N-Benzoylated Phenoxazines and Phenothiazines Derivatives as Antiproliferative Agents

机译:一系列 N -苯甲酰化苯恶嗪和吩噻嗪衍生物作为抗增殖剂的对接,CoMFA和CoMSIA研究

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Using generated conformations from docking analysis by Gold algorithm, some 3D-QSAR models; CoMFA and CoMSIA have been created on 39 N-benzoylated phenoxazines and phenothiazines, including their Soxidized analogues. These molecules inhibit the polymerization of tubulin into microtubules and thus they have been studied for the development of antitumor drugs. Training set for the CoMFA and CoMSIA models using 30 docked conformations gives q2 Leave one out (LOO) values of 0.756 and 0.617, and r2 ncv values of 0.988 and 0.956, respectively. The ability of prediction and robustness of the models were evaluated by test set, cross validation (leave-one-out and leave-ten-out), bootstrapping, and progressive scrambling approaches. The allorientation search (AOS) was used to achieve the best orientation to minimize the effect of initial orientation of the structures. The docking results confirmed CoMFA and CoMSIA contour maps. The docking and 3DQSAR studies were thoroughly interpreted and discussed and confirmed the experimental pIC50 values.
机译:使用通过Gold算法对接分析生成的构象,一些3D-QSAR模型; CoMFA和CoMSIA已基于39种N-苯甲酰化的吩恶嗪和吩噻嗪(包括其氧化类似物)创建。这些分子抑制微管蛋白聚合成微管,因此已经研究了其用于开发抗肿瘤药物。使用30个对接构象的CoMFA和CoMSIA模型的训练集得出q2的“遗忘”值(LOO)值为0.756和0.617,r2 ncv值分别为0.988和0.956。通过测试集,交叉验证(留一法和留一法),自举和渐进式加扰方法来评估模型的预测能力和鲁棒性。定向搜索(AOS)用于获得最佳定向,以最小化结构初始定向的影响。对接结果确认了CoMFA和CoMSIA等高线图。对接和3DQSAR研究得到了彻底的解释和讨论,并确认了实验pIC50值。

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