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hinges. Kundu et al. use the lowest order nontrivial mode to assign residues to one of<br />

two structural domains according to the sign of the displacement, and also perform some<br />

physically motivated postprocessing of the results.<br />

Similarly, much work has been done to solve the related problem of finding domain<br />

boundaries, which can be flexible or inflexible. Nagarajan and Yona[33] have shown<br />

how to analyze multiple sequence alignments to identify domains. Marsden et al showed<br />

that predicted secondary structure could help find domain boundaries. Jones et al.<br />

combined PUU[35], DETECTIVE[36], and DOMAK[37] to make a powerful domain<br />

boundary predictor[38]. Domain boundaries, again, are not necessarily flexible, and<br />

furthermore many of these methods require a multiple sequence alignment which cannot<br />

always be obtained. Given the difficulty of observing motion by experimental means and<br />

the limited accuracy or applicability of existing computational methods, there is a need<br />

for improved techniques for predicting motion.<br />

45% of motions in a representative set from the Database of Macromolecular Motions<br />

have been found to move by a hinge bending mechanism [3, 9, 25]. Keating et al.(in<br />

preparation) found that interpretation of hydrogen-bond dilution plots produced by<br />

FIRST[32] could discriminate domain hinge bending from fragment motions with some<br />

accuracy, even when the motion itself was unknown. For hinge bending proteins, if the<br />

location of the hinge could be predicted given a single set of structural coordinates,<br />

significant insight could be gained into possible movements.<br />

109

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