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基于 CoMFA 和 CoMSIA 模型的喹唑啉类抗叶酸胸苷酸合成酶抑制剂的 3D-QSAR 研究。

3D-QSAR studies on quinazoline antifolate thymidylate synthase inhibitors by CoMFA and CoMSIA models.

机构信息

Department of Biotechnology, Meerut Institute of Engineering and Technology, Meerut 250005, India.

出版信息

Eur J Med Chem. 2010 Apr;45(4):1560-71. doi: 10.1016/j.ejmech.2009.12.065. Epub 2010 Jan 13.

Abstract

Thymidylate synthase (TS) is a crucial enzyme for DNA biosynthesis and many nonclassical lipophilic antifolates targeting this enzyme are quite efficient and encouraging as antitumor drugs. Herein, we report some 3D-QSAR analyses using CoMFA and CoMSIA on quinozoline antifolates in order to have a better understanding of the mechanism of action and structure-activity relationship of these compounds. By applying leave-one-out (LOO) cross-validation study, we obtained cross-validated q(2) value of 0.573 for CoMFA and 0.445 for CoMSIA, while the non-cross-validated r(2) values for them were found to be 0.935 and 0.893, respectively. The models were graphically interpreted using CoMFA and CoMSIA contour plots. The results obtained from this study could be used for rational design of potent inhibitors against thymidylate synthase.

摘要

胸苷酸合成酶(TS)是 DNA 生物合成的关键酶,许多针对该酶的非经典亲脂性抗叶酸剂作为抗肿瘤药物非常有效且令人鼓舞。在此,我们报告了使用 CoMFA 和 CoMSIA 对喹唑啉类抗叶酸剂进行的一些 3D-QSAR 分析,以便更好地了解这些化合物的作用机制和构效关系。通过应用Leave-One-Out(LOO)交叉验证研究,我们得到 CoMFA 的交叉验证 q(2)值为 0.573,CoMSIA 的交叉验证 q(2)值为 0.445,而它们的非交叉验证 r(2)值分别为 0.935 和 0.893。使用 CoMFA 和 CoMSIA 等高线图对模型进行了图形解释。这项研究的结果可用于合理设计针对胸苷酸合成酶的有效抑制剂。

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