Comparative sequence analysis has proven to be a very efficient tool f
or the determination of RNA secondary structure and certain tertiary i
nteractions. However, base-triples, an important RNA structural elemen
t, cannot be predicted accurately from sequence data. We show here tha
t the poor base correlations observed at base-triple positions are the
result of two factors. (1) Base covariation is not as strictly requir
ed in triples as it is in Watson-Crick pairs. (2) Base-triple structur
es are less conserved among homologous molecules. A particularity of k
nown triple-helical regions is the presence of multiple base correlati
ons that do not reflect direct pairing. We suggest that natural mutati
ons in base-triples create structural changes that require compensator
y mutations in adjacent base-pairs and triples to maintain the triple-
helix conformation. On the basis of these observations, we devised two
new measures of association that significantly enhance the base-tripl
e signal in correlation studies. We evaluated correlations between bas
e-pairs and single stranded bases, and correlations between adjacent b
ase-pairs. Positions that score well in both analyses are the best tri
ple candidates. This procedure correctly identifies triples, or intera
ctions very close to the proposed triples, in type I and type II tRNAs
and in the group I intron.