Ulyanov N B, Gorin A A, Zhurkin V B, Chen B C, Sarma M H, Sarma R H
Department of Chemistry, State University of New York, Albany 12222.
Biochemistry. 1992 Apr 28;31(16):3918-30. doi: 10.1021/bi00131a005.
A method has been developed to solve structures of DNA oligomers in solution from the experimental NOE data. The method is a combination of two approaches: (1) full matrix NOESY simulations and (2) conformational calculations of DNA double helix based on generalized helical parameters. The process of the refinement of a solution structure does not involve NMR-derived interproton distance constraints; rather it consists of a direct fitting of a structure to the experimental NOE data, a weighted sum of energy, and R factor being under minimization. A helical parameters-based generation of DNA forms makes it possible to organize the search for the optimal structure more effectively, systematically varying starting conformations. The method has been used to calculate a structure for the self-complementary DNA hexamer GGATCC, which is consistent with the available experimental data. The structure belongs to the B family of forms, although the local structural heterogeneity is very strong. Sugar puckers vary from O4'-exo to C3'-exo; helical steps are open with different magnitudes toward the minor groove. Next, we have addressed the question of how uniquely the structure is defined by the existing NMR data. Different structural parameters have been systematically varied, and their effect on individual NOE's and the R factor has been studied. Two energetically conjugated parameters, sugar puckers and glycosidic angles, can be determined very reliably, because of the strong dependences of the intraresidue H6/H8 to H2'/H2''/H3' NOE's. In contrast, the local helical conformation of DNA and the geometry of base pairs proved to be underdetermined by the existing NOE information, because the effect of any helical parameter on interproton distances can be compensated by the concerted changes in other parameters.
已开发出一种方法,可根据实验性的核欧沃豪斯效应(NOE)数据解析溶液中DNA寡聚物的结构。该方法结合了两种途径:(1)全矩阵NOESY模拟,以及(2)基于广义螺旋参数的DNA双螺旋构象计算。溶液结构的优化过程不涉及核磁共振衍生的质子间距离约束;相反,它包括将结构直接拟合到实验性NOE数据、能量加权和以及最小化R因子。基于螺旋参数生成DNA形式使得能够更有效地组织对最佳结构的搜索,系统地改变起始构象。该方法已用于计算自互补DNA六聚体GGATCC的结构,该结构与现有实验数据一致。该结构属于B型家族,尽管局部结构异质性很强。糖的构象从O4'-外向型到C3'-外向型变化;螺旋步向小沟方向开放程度不同。接下来,我们探讨了现有核磁共振数据对结构的定义有多独特的问题。系统地改变了不同的结构参数,并研究了它们对单个NOE和R因子的影响。由于残基内H6/H8到H2'/H2''/H3'的NOE有很强的依赖性,两个能量共轭参数,即糖的构象和糖苷键角,可以非常可靠地确定。相比之下,DNA的局部螺旋构象和碱基对的几何形状被证明由现有的NOE信息无法确定,因为任何螺旋参数对质子间距离的影响都可以通过其他参数的协同变化来补偿。