We describe a method for locating clusters of geometrically similar co
nformers in ensembles of chemical conformations. We first calculate th
e pairwise interconformational distance matrix in either torsional or
Cartesian space and then use an agglomerative, single-link clustering
method to define a hierarchy of clusterings in the same space. Especia
lly good clusterings are distinguished by high values of the separatio
n ratio: the ratio of the shortest intercluster distance to the charac
teristic threshold distance defining the clustering. We also discuss o
ther statistics. The method has been embodied in a program called XClu
ster, which can display the distance matrix, the hierarchy of clusteri
ngs, and the clustering statistics in a variety of formats. XCluster c
an also write out the clustered conformations for subsequent or simult
aneous viewing with a molecular visualization program. We demonstrate
the sorts of insight that this approach affords with examples obtained
from conformational search and molecular dynamics procedures. (C) 199
4 by John Wiley and Sons, Inc.