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Rukmankesh Mehra,Amit Nargotra,Bhahwal A. Shah,Subhash C. Taneja,Ram A. Vishwakarma,Surrinder Koul

机译:Rukmankesh Mehra,Amit Nargotra,Bhahwal Aa。莎阿(Subhash K.)塔妮娅,拉姆。维斯瓦卡玛(Vishwakarma),苏林德·考尔(Surinder Kaul)

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摘要

The pro-apoptotic activity of 37 parthenin analogs was quantitatively related to their structures by carrying out quantitative structure-activity relationship study employing genetic function approximation algorithm. Five descriptors were found to be important contributors toward the pro-apoptotic activity of the said compound series. The statistical significance of the model was authenticated with a very good correlation and cross-validation correlation parameter (r~2 = 0.9 and q2 = 0.839). The model was also validated for leave-25 %-out cross-validation test and external prediction criteria and was found to be well within the acceptable range. The model would be very useful for designing and lead optimization of anticancer compounds and also for prediction of activity of new compounds in this series.
机译:通过使用遗传函数近似算法进行定量的构效关系研究,对37种帕斯汀类似物的促凋亡活性进行了定量分析。发现五个描述符是所述化合物系列的促凋亡活性的重要贡献者。通过非常好的相关性和交叉验证相关性参数(r〜2 = 0.9和q2 = 0.839)验证了模型的统计显着性。还对模型进行了留25%交叉验证试验和外部预测标准的验证,发现该模型完全在可接受范围内。该模型对于设计和优化抗癌化合物以及优化该系列新化合物的活性非常有用。

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