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Biophys J, June 1998, p. 2876-2888, Vol. 74, No. 6
Departament de Química Analítica, Universitat de Barcelona, 08028 Barcelona, Spain
Different multivariate data analysis techniques based on
factor analysis and multivariate curve resolution are shown for the study of biochemical evolutionary processes like conformational changes
and protein folding. Several simulated CD spectral data sets describing
different hypothetical protein folding pathways are analyzed and
discussed in relation to the feasibility of factor analysis techniques
to detect and resolve the number of components needed to explain the
evolution of the CD spectra corresponding to the process (i.e., to
detect the presence of intermediate forms). When more than two
components (the native and unordered forms) are needed to explain the
evolution of the spectra, an iterative multivariate curve resolution
procedure based on an alternating least squares algorithm is proposed
to estimate the CD spectrum corresponding to the intermediate form.
Biophys J, June 1998, p. 2876-2888, Vol. 74, No. 6
© 1998 by the Biophysical Society 0006-3495/98/06/2876/13 $2.00
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