tte same approach as in the two previous models was used for band broadening. In this case the pattern obtained is more complex. It has to be taken into account that changes in bandwidth in proteins are not usually a result of a phase transition as in the case of lipids (Arrondo and Goni 1997), but they are rather the consequence of changes in conformation and subsequent variation in the area of the band associated with that conformation. Hence, changes in bandwidth can be discerned because a more complicated correlation map is produced, but they are not easily assigned (see later). In the case of the models studied, the resulting synchronous maps (Fig. 4.4) show patterns with several autopeaks located at the peak inflection points, since these are the frequencies at which greater intensity variations occur throughout the band broadening, ttese autopeaks are associated with positive cross-peaks because

Fig.4.4. 2D correlation maps corresponding to changes in the width (bandwith) of a band composed of one peak(boffom) or two peaks (top). Synchronous maps are located to the left and asynchromous to the right. The axes are as in Fig. 4.2

both points are changing their intensity in the same direction, tte asynchronous spectrum is much more complicated, showing an increased number of peaks with different sizes and intensities.

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