Fortin Sébastien, Labrie Philippe, Moreau Emmanuel, Wei Lianhu, Kotra Lakshmi P, C-Gaudreault René
Unité des Biotechnologies et de Bioingéniérie, Centre de recherche, C.H.U.Q., Hôpital Saint-François d'Assise, Université Laval, Québec, Que., Canada G1L 3L5.
Bioorg Med Chem. 2008 Feb 15;16(4):1914-26. doi: 10.1016/j.bmc.2007.11.004. Epub 2007 Nov 5.
To decipher the mechanism underlying the covalent binding of N-phenyl-N'-(2-chloroethyl)ureas (CEU) to the colchicine-binding site on beta(II)-tubulin and to design new and selective antimitotic drugs, we developed 3D quantitative structure-activity relationships (3D-QSAR) models using CoMFA and CoMSIA analyses. The present study correlates the cell growth inhibition activities of 56 structurally related CEU derivatives to several physicochemical parameters representing steric, electrostatic, and hydrophobic fields. Both CoMFA and CoMSIA models using two different optimum numbers of components (ONC) 10 and 4, respectively, gave good internal predictions and their cross-validated r2 values were between 0.639 and 0.743. These comprehensive CoMFA and CoMSIA models are useful in understanding the structure-activity relationships of CEU. The two models were compared to the X-ray crystal structure of the complex of tubulin-colchicine and analyzed for similarities between the two modes of analysis. These models will inspire the design of new CEU derivatives with enhanced inhibition of tumor cell growth and targeting specificity of beta(II)-tubulin and the cytoskeleton.
为了解析N-苯基-N'-(2-氯乙基)脲(CEU)与β(II)-微管蛋白上秋水仙碱结合位点共价结合的潜在机制,并设计新型选择性抗有丝分裂药物,我们使用比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)开发了三维定量构效关系(3D-QSAR)模型。本研究将56种结构相关的CEU衍生物的细胞生长抑制活性与代表空间、静电和疏水场的几个物理化学参数相关联。分别使用两种不同的最佳组分数(ONC)10和4的CoMFA和CoMSIA模型均给出了良好的内部预测结果,其交叉验证的r2值在0.639至0.743之间。这些全面的CoMFA和CoMSIA模型有助于理解CEU的构效关系。将这两个模型与微管蛋白-秋水仙碱复合物的X射线晶体结构进行比较,并分析两种分析模式之间的相似性。这些模型将激发设计具有增强的肿瘤细胞生长抑制作用以及对β(II)-微管蛋白和细胞骨架靶向特异性的新型CEU衍生物。