Hao Q, Dodd F E, Grossmann J G, Hasnain S S
Department of Chemistry and Physics, De Montfort University, Leicester LE1 9BH, England.
Acta Crystallogr D Biol Crystallogr. 1999 Jan;55(Pt 1):243-6. doi: 10.1107/S0907444998011342. Epub 1999 Jan 1.
Solving the phase problem is the crucial and quite often the most difficult and time-consuming step in crystallographic structure determination. The traditional methods of isomorphous replacement (MIR or SIR) and molecular replacement require the availability of an isomorphous heavy-atom derivative or the structure of a homologous protein, respectively. Here, a method is presented which utilizes the low-resolution molecular shape determined from solution X-ray scattering data for the molecular search. The molecular shape of a protein is an important structural property and can be determined directly by the small-angle scattering technique. The idea of locating this molecular shape in the crystallographic unit cell has been tested with experimental diffraction data from nitrite reductase (NiR). The conventional Patterson search proved to be unsuccessful, as the intra-envelope vectors are uniformly distributed and do not match those of intra-molecular (atom-to-atom) vectors. A direct real-space search for orientation and translation was then performed. A self-rotation function using 2.8 A crystallographic data yielded the polar angles of the non-crystallographic threefold axis. Knowledge of the orientation of this axis reduces the potential six-dimensional search to four (Eulerian angle gamma and three translational parameters). The direct four-dimensional search within the unit cell produced a clear solution. The electron-density map based on this solution agrees well with the known structure, and the phase error calculated from the map was 61 degrees within 20 A resolution. It is anticipated that the low-resolution envelope can be used as a starting model for phase extension by the maximum-entropy and density-modification method.
解决相位问题是晶体结构测定中至关重要且常常是最困难和最耗时的步骤。传统的同晶置换法(MIR或SIR)和分子置换法分别需要同晶重原子衍生物或同源蛋白质的结构。本文提出了一种方法,该方法利用从溶液X射线散射数据确定的低分辨率分子形状进行分子搜索。蛋白质的分子形状是一种重要的结构特性,可通过小角散射技术直接确定。已利用亚硝酸还原酶(NiR)的实验衍射数据测试了在晶体学晶胞中定位这种分子形状的想法。传统的帕特森搜索未成功,因为包络内向量均匀分布,与分子内(原子对原子)向量不匹配。然后进行了直接的实空间取向和平移搜索。使用2.8 Å晶体学数据的自旋转函数得出了非晶体学三重轴的极角。该轴取向的知识将潜在的六维搜索减少到四维(欧拉角γ和三个平移参数)。在晶胞内进行的直接四维搜索得到了清晰的结果。基于该结果的电子密度图与已知结构吻合良好,在20 Å分辨率下从该图计算出的相位误差为61度。预计低分辨率包络可作为通过最大熵和密度修正法进行相位扩展的起始模型。