Nucleic Acids Research, Vol 26, Issue 8 1974-1979, Copyright © 1998 by Oxford University Press
JI Sagara, S Shimizu, T Kawabata, S Nakamura, M Ikeguchi and K Shimizu
We have developed a computational method that detects 'identities' in tRNA
genes by using principal component analysis to classify the sequences of
bases in tRNA genes into groups of similar sequences and then comparing the
distribution of sequences of bases, in order to extract characteristic
bases that are conserved within a group but differ between groups. These
classification and comparison procedures are applied recursively to
classify the sequences into hierarchical groups, so that multiple levels of
characteristic sites can be detected. By using this computational method,
we were able to detect many characteristic sites in the T and D domains of
tRNAs, as well as the characteristic sites that had already been detected
experimentally. This suggests that bases not only in the contact regions
but also in the elbow regions, which determine the structure and dynamics
of the whole tRNA molecule, are important to the tRNA-aminoacyl tRNA
synthetase recognition.
ARTICLES
The use of sequence comparison to detect 'identities' in tRNA genes
Department of Biotechnology, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113, Japan. jun@bi.a.u-tokyo.ac.jp
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