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!<br />

Because it cuts the backbone at two points, however, FO is limited to proteins with<br />

single- or double-stranded hinges. Also, the code neglects bound metals. Since these are<br />

highly coordinated, we will argue that accuracy may be limited when metal binding<br />

contributes significantly to the stability and motion characteristics of the protein.<br />

Definition of HingeMaster<br />

As pointed out previously, the described algorithms use substantially different<br />

information to make hinge predictions. Consequently they have different strengths and<br />

yield very different results. StoneHinge is good at finding the general region of the hinge,<br />

but often overestimates the size of the hinge region. hNMd faces similar limitations. FO<br />

and hNMb are very precise but are limited to single or double-stranded hinges. TLSMD,<br />

on the other hand, makes a small number of predictions, well spaced apart, one or more<br />

of which often lie exactly on or very close to domain hinges, and the rest of which are<br />

incorrect or lie on points of non-domain hinge flexibility.<br />

Combining various predictors by consensus[38] or other means is not unprecedented.<br />

We did this by creating HingeMaster, the output of which is a weighted vote of the<br />

individual predictors:<br />

x HingeMaster(i) =<br />

where<br />

$ % cx c(i)<br />

"c #C<br />

177<br />

[5]

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