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法尼基转移酶抑制剂的3D-QSAR研究:一种比较分子场分析方法。

3D-QSAR studies of farnesyltransferase inhibitors: a comparative molecular field analysis approach.

作者信息

Puntambekar Devendra, Giridhar Rajani, Yadav Mange Ram

机构信息

Pharmacy Department, Faculty of Technology and Engineering, The M.S. University of Baroda, Vadodara 390 001, India.

出版信息

Bioorg Med Chem Lett. 2006 Apr 1;16(7):1821-7. doi: 10.1016/j.bmcl.2006.01.019. Epub 2006 Feb 7.

Abstract

3D-QSAR analysis has been performed on a series of previously synthesized benzonitrile derivatives, which were screened as farnesyltransferase inhibitors, using comparative molecular field analysis (CoMFA) with partial least-square fit to predict the steric and electrostatic molecular field interactions for the activity. The CoMFA study was carried out using a training set of 34 compounds. The predictive ability of the model developed was assessed using a test set of eight compounds (r(pred)(2) as high as 0.770). The analyzed 3D-QSAR CoMFA model has demonstrated a good fit, having r(2) value of 0.991 and cross-validated coefficient q(2) value as 0.619. The analysis of CoMFA contour maps provided insight into the possible modification of the molecules for better activity.

摘要

已对一系列先前合成的苯甲腈衍生物进行了3D-QSAR分析,这些衍生物作为法尼基转移酶抑制剂进行了筛选,使用具有偏最小二乘拟合的比较分子场分析(CoMFA)来预测活性的空间和静电分子场相互作用。CoMFA研究使用了34种化合物的训练集进行。使用8种化合物的测试集评估所开发模型的预测能力(r(pred)(2)高达0.770)。分析的3D-QSAR CoMFA模型显示出良好的拟合度,r(2)值为0.991,交叉验证系数q(2)值为0.619。CoMFA等高线图的分析为分子的可能修饰以获得更好的活性提供了见解。

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