Department of Computer Science, College of Science, Purdue University, West Lafayette, IN 47907, USA.
J Struct Biol. 2013 Oct;184(1):93-102. doi: 10.1016/j.jsb.2013.06.008. Epub 2013 Jun 21.
Protein structure determination by cryo-electron microscopy (EM) has made significant progress in the past decades. Resolutions of EM maps have been improving as evidenced by recently reported structures that are solved at high resolutions close to 3Å. Computational methods play a key role in interpreting EM data. Among many computational procedures applied to an EM map to obtain protein structure information, in this article we focus on reviewing computational methods that model protein three-dimensional (3D) structures from a 3D EM density map that is constructed from two-dimensional (2D) maps. The computational methods we discuss range from de novo methods, which identify structural elements in an EM map, to structure fitting methods, where known high resolution structures are fit into a low-resolution EM map. A list of available computational tools is also provided.
通过冷冻电子显微镜（cryo-electron microscopy，简称 EM）进行蛋白质结构测定在过去几十年中取得了重大进展。最近报道的结构在接近 3Å 的高分辨率下得到解决，这证明了 EM 图谱的分辨率一直在提高。计算方法在解释 EM 数据方面起着关键作用。在应用于 EM 图谱以获取蛋白质结构信息的众多计算程序中，本文重点介绍了从二维（2D）图谱构建的 3D EM 密度图谱中建模蛋白质三维（3D）结构的计算方法。我们讨论的计算方法范围从从头开始的方法，这些方法可以识别 EM 图谱中的结构元素，到结构拟合方法，其中已知的高分辨率结构拟合到低分辨率 EM 图谱中。还提供了可用计算工具的列表。
