This paper reviews measures of similarity and dissimilarity between pairs o
f chemical molecules and the use of such measures for processing chemical d
atabases. The applications discussed include similarity searching, database
clustering and diversity analysis, focusing upon measures that are based o
n fragment bit-string occurrence data. The paper then discusses recent work
on the calculation of similarity by aligning molecular fields and on the s
election of structurally diverse subsets of chemical databases.