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!<br />

[ K]<br />

= [ U]<br />

"<br />

[ ] 2<br />

[ U]<br />

T<br />

Where U is an orthogonal matrix whose columns are<br />

diagonal matrix whose elements are the frequencies " i .<br />

!<br />

!<br />

The choice of first vs. second or higher modes as hinge predictors is the subject of much<br />

debate in the community; we now address ! this issue.<br />

165<br />

r<br />

x i , the eigenvectors of K.<br />

" is a<br />

Normal mode expansions provide the form of displacements of a structure at each of a<br />

progressive series of resonant frequencies, or excitation frequencies to which an elastic<br />

structure responds strongly. Various studies underscore the importance of low-order<br />

modes in describing protein motion, but opinions vary as to which of these should be<br />

used for hinge prediction. Alexandrov et al.[61] and Krebs et al. compared the<br />

successive normal modes of poteins with the displacements observed from interpolated<br />

(“morphed”) structural pairs of proteins, and found that the correlation was highest for<br />

the lowest order mode, and decreased progressively for higher modes. Kundu et al.[74]<br />

assigned residues of protein to one of two clusters depending on the sign of the lowest-<br />

order nontrivial normal mode eigenvector. These domain assignments are then adjusted<br />

by a series of physicochemically motivated postprocessing steps. Yang et al. showed that<br />

catalytic sites tend to coincide with regions of minimal displacement of the first and<br />

second nontrivial mode. Here we show that for the case of domain hinge bending, the<br />

lowest-order nontrivial mode should be used for hinge prediction.<br />

To do so we will make use of the concept of a nodal surface. To introduce this consider<br />

the example of a one dimensional guitar string driven at its second harmonic frequency.

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