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Biophys J, January 2000, p. 136-149, Vol. 78, No. 1

and
*TCE Laboratory, Istituto Superiore di Sanitá, 00161 Roma,
Italy;
Department of Biochemical Sciences, University of
Roma "La Sapienza," 00185 Roma, Italy; and
Department of Molecular Biophysics and Physiology, Rush
University, Chicago, Illinois 60612 USA
Two computational methods widely used in time series
analysis were applied to protein sequences, and their ability to derive structural information not directly accessible through classical sequence comparisons methods was assessed. The primary structures of 19 rubredoxins of both mesophilic and thermophilic bacteria, coded with
hydrophobicity values of amino acid residues, were considered as time
series and were analyzed by 1) recurrence quantification analysis and
2) spectral analysis of the sequence major eigenfunctions. The results
of the two methods agreed to a large extent and generated a
classification consistent with known 3D structural characteristics of
the studied proteins. This classification separated in a clearcut manner a thermophilic protein from mesophilic proteins. The
classification of primary structures given by the two dynamical methods
was demonstrated to be basically different from classification stemming
from classical sequence homology metrics. Moreover, on a more detailed
scale, the method was able to discriminate between thermophilic and
mesophilic proteins from a set of chimeric sequences generated from the
mixing of a mesophilic (Rubr Clopa) and a
thermophilic (Rubr Pyrfu) protein. Overall, our results
point to a new way of looking at protein sequence comparisons.
Biophys J, January 2000, p. 136-149, Vol. 78, No. 1
© 2000 by the Biophysical Society 0006-3495/00/01/136/14 $2.00
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