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and the holo. In this case it is possible to compare the two structures and observe which<br />

stretches of polypeptide are structurally conserved, i.e. are stable domains, and which<br />

points are flexible. By doing so Van der Spoel et al.[110] determined the location of the<br />

flexible hinge on the central helix of Calmodulin. The process can also be automated<br />

with various available packages, including FlexProt[26, 27], Hingefind[28] and<br />

DynDom[29]. A much more difficult problem is that of predicting hinges when only one<br />

set of structural atomic coordinates is available. Several algorithms have been developed<br />

for this purpose[19, 30-32]. The very hardest case occurs when the sequence is known<br />

but atomic coordinates are not available.<br />

The problem of finding flexible hinges between structural domains based on sequence is<br />

in some ways similar to the problem of finding the boundaries of functional domains,<br />

which can be flexible or inflexible. The latter are portions of a structure which recur in<br />

various proteins performing a similar biochemical function; however these do not<br />

necessarily coincide with the former [111]. Several algorithms exist to find the<br />

boundaries of functional domains. In one significant contribution, Nagarajan and<br />

Yona[33] analyzed multiple sequence alignments and were able to identify domains with<br />

some accuracy. Marsden et al[34] focused on the case of proteins with no significant<br />

sequence homology to well characterized proteins and found that predicted secondary<br />

structure contained information about domain boundaries. Jones et al. combined<br />

PUU[35], DETECTIVE[36], and DOMAK[37] to make a consensus-based domain<br />

boundary predictor[38]. Heger et al. created the Automatic Domain Decomposition<br />

Algorithm (ADDA) and associated online database. Murzin et al. created the SCOP<br />

47

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