In a similar manner to sequence database searching, it is also possibl
e to compare three-dimensional protein structures. Such methods can be
extremely useful because a structural similarity may represent a dist
ant evolutionary relationship that is undetectable by sequence analysi
s. In this review, we summarise the most popular structure comparison
methods, show how they can be used for database searching, and then de
scribe some of the most advanced attempts to develop comprehensive pro
tein structure classifications. With such data, it is possible to iden
tify distant evolutionary relationships, provide libraries of unique f
olds for structure prediction, estimate the total number of folds that
exist, and investigate the preference for certain types of structures
over others. (C) 1998 John Wiley & Sons, Inc.