Physik-Department T38, Technische Universität München, Garching, Germany.
PLoS One. 2012;7(12):e49733. doi: 10.1371/journal.pone.0049733. Epub 2012 Dec 14.
Many of the most important functions in the cell are carried out by proteins organized in large molecular machines. Cryo-electron microscopy (cryo-EM) is increasingly being used to obtain low resolution density maps of these large assemblies. A new method, ATTRACT-EM, for the computational assembly of molecular assemblies from their components has been developed. Based on concepts from the protein-protein docking field, it utilizes cryo-EM density maps to assemble molecular subunits at near atomic detail, starting from millions of initial subunit configurations. The search efficiency was further enhanced by recombining partial solutions, the inclusion of symmetry information, and refinement using a molecular force field. The approach was tested on the GroES-GroEL system, using an experimental cryo-EM map at 23.5 Å resolution, and on several smaller complexes. Inclusion of experimental information on the symmetry of the systems and the application of a new gradient vector matching algorithm allowed the efficient identification of docked assemblies in close agreement with experiment. Application to the GroES-GroEL complex resulted in a top ranked model with a deviation of 4.6 Å (and a 2.8 Å model within the top 10) from the GroES-GroEL crystal structure, a significant improvement over existing methods.
许多细胞中的重要功能都是由组织在大型分子机器中的蛋白质来执行的。冷冻电子显微镜(cryo-EM)越来越多地被用于获得这些大型组装体的低分辨率密度图。一种新的方法,即 ATTRACT-EM,用于从其组成部分计算组装分子组装体。该方法基于蛋白质-蛋白质对接领域的概念,利用 cryo-EM 密度图以近原子细节从数百万个初始亚基构型开始组装分子亚基。通过重新组合部分解决方案、包含对称信息以及使用分子力场进行细化,进一步提高了搜索效率。该方法在 GroES-GroEL 系统上进行了测试,使用了分辨率为 23.5 Å 的实验 cryo-EM 图谱,以及几个较小的复合物。包含关于系统对称性的实验信息的包含和应用新的梯度向量匹配算法允许有效地识别与实验非常吻合的对接组装体。该方法在 GroES-GroEL 复合物上的应用得到了一个排名靠前的模型,其与 GroES-GroEL 晶体结构的偏差为 4.6 Å(前 10 名中有一个 2.8 Å 的模型),与现有方法相比有显著改进。