Swindells M B, Orengo C A, Jones D T, Hutchinson E G, Thornton J M
Helix Research Institute, Kisarazu, Japan.
Bioessays. 1998 Nov;20(11):884-91. doi: 10.1002/(SICI)1521-1878(199811)20:11<884::AID-BIES3>3.0.CO;2-H.
In a similar manner to sequence database searching, it is also possible to compare three-dimensional protein structure. Such methods can be extremely useful because a structural similarity may represent a distant evolutionary relationship that is undetectable by sequence analysis. In this review, we summarise the most popular structure comparison methods, show how they can be used for database searching, and then describe some of the most advanced attempts to develop comprehensive protein structure classifications. With such data, it is possible to identify distant evolutionary relationships, provide libraries of unique folds for structure prediction, estimate the total number of folds that exist, and investigate the preference for certain types of structures over others.
与序列数据库搜索类似,比较三维蛋白质结构也是可行的。这类方法可能极其有用,因为结构相似性可能代表一种序列分析无法检测到的远缘进化关系。在本综述中,我们总结了最流行的结构比较方法,展示它们如何用于数据库搜索,然后描述一些开发全面蛋白质结构分类的最先进尝试。有了这些数据,就有可能识别远缘进化关系,为结构预测提供独特折叠的文库,估计现存折叠的总数,并研究对某些类型结构相对于其他结构的偏好。