Department of Chemistry, University of Minnesota, Minneapolis, MN 55455, USA.
Eur J Med Chem. 2010 Apr;45(4):1304-13. doi: 10.1016/j.ejmech.2009.11.054. Epub 2009 Dec 6.
Aberrant regulation of cap-dependent translation has been frequently observed in the development of cancer. Association of the cap-binding protein eIF4E with N(7)-methylated guanosine capped mRNA is the rate limiting step governing translation initiation; and therefore represents an attractive process for cancer drug discovery. Previously, replacement of the 7-Me group of the Me(7)-guanosine monophosphate with a benzyl group has been found to increase binding affinity to eIF4E. Recent X-ray crystallographic studies have revealed that the cap-binding pocket undergoes a unique structural change in order to accommodate the benzyl group. To explore the structure-activity relationships governing the affinity of N(7)-benzylated guanosine monophosphate (Bn(7)-GMP) for eIF4E, we virtually screened a library of 80 Bn(7)-GMP analogs utilizing CombiGlide as implemented in Schrodinger. A subset library of substituted Bn(7)-GMP analogs was synthesized and their dissociation constants (K(d)) were determined. Due to the poor correlation between docking/scoring results and experimental binding affinities, three-dimensional quantitative structure-activity relationship (3D-QSAR) calculations were performed. Two highly predictive and self-consistent CoMFA (comparative molecular field analysis) and CoMSIA (comparative molecular similarity indices analysis) models were derived and optimized. These models may be useful for the future design of eIF4E cap-binding antagonists.
在癌症的发展过程中,经常观察到依赖帽结构的翻译的异常调节。帽结合蛋白 eIF4E 与 N(7)-甲基化鸟苷帽 mRNA 的结合是控制翻译起始的限速步骤;因此,它代表了癌症药物发现的有吸引力的过程。以前,已经发现将 Me(7)-鸟苷一磷酸的 7-Me 基团替换为苄基基团会增加与 eIF4E 的结合亲和力。最近的 X 射线晶体学研究表明,帽结合口袋会发生独特的结构变化,以适应苄基基团。为了探索控制 N(7)-苄基鸟苷一磷酸 (Bn(7)-GMP) 与 eIF4E 亲和力的结构-活性关系,我们利用 Schrodinger 中的 CombiGlide 虚拟筛选了 80 种 Bn(7)-GMP 类似物库。合成了一组取代的 Bn(7)-GMP 类似物,并测定了它们的离解常数 (K(d))。由于对接/评分结果与实验结合亲和力之间相关性较差,因此进行了三维定量构效关系 (3D-QSAR) 计算。得出并优化了两个高度可预测和自洽的 CoMFA(比较分子场分析)和 CoMSIA(比较分子相似性指数分析)模型。这些模型可能对未来设计 eIF4E 帽结合拮抗剂有用。