Institut für Organische Chemie und Biochemie, Albert-Ludwigs-Universität, Albertstr 21, D-79104 Freiburg im Breisgau, Germany.
Protein Sci. 2011 Oct;20(10):1765-70. doi: 10.1002/pro.709. Epub 2011 Sep 2.
Protein crystals are of wide-spread interest because many of them allow structure analyses at atomic resolution. For soluble proteins, the packing density of such crystals is distributed according to the Matthews Graph. For integral membrane proteins, the respective graph is similar but at lower density and much broader. By visualizing the relative positions and orientations of membrane proteins in crystals, it has been suggested that the detergent micelles surrounding these proteins form sheets, filaments, or remain isolated in the crystal giving rise to three distinct packing density distributions that superimpose to form the observed broad distribution. This classification was indirect because detergent is not visible in X-ray crystallography. Given the extensive work involved in analyzing detergent structure directly by neutron diffraction, it seems unlikely that a statistically relevant number of them will be established in the near future. Therefore, the proposed classification is here scrutinized by a simulation in which an average detergent-carrying membrane protein was randomly packed to form crystals. The analysis reproduced the three types of detergent structures together with their packing density distributions and relative frequencies, which validates the previous classification. The simulation program was also run for crystals from soluble proteins using ellipsoids as reference shapes and defining a shape factor that quantifies the deviation from the nearest ellipsoid. This series reproduced and thus explained the Matthews Graph.
蛋白质晶体受到广泛关注,因为它们中的许多晶体允许进行原子分辨率的结构分析。对于可溶性蛋白质,这种晶体的堆积密度根据 Matthews 图进行分布。对于整合膜蛋白,相应的图谱相似,但密度较低,且范围更宽。通过可视化晶体中膜蛋白的相对位置和取向,有人提出,围绕这些蛋白质的去污剂胶束形成片层、纤维或在晶体中保持孤立,从而产生三种不同的堆积密度分布,这些分布叠加形成观察到的较宽分布。这种分类是间接的,因为去污剂在 X 射线晶体学中不可见。鉴于直接通过中子衍射分析去污剂结构所涉及的广泛工作,在不久的将来不太可能确定大量具有统计学意义的去污剂结构。因此,通过模拟对所提出的分类进行了仔细审查,在模拟中,随机包装含有去污剂的平均膜蛋白以形成晶体。分析重现了三种类型的去污剂结构及其堆积密度分布和相对频率,这验证了之前的分类。还使用椭球体作为参考形状并定义了一个形状因子来量化与最近的椭球体的偏差,对可溶性蛋白质的晶体运行了模拟程序。该系列重现并因此解释了 Matthews 图。