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Like-wise, when restricting the comparisons to individual helices, the differences in sequence similarity between each target GPCR and the five templates structures are also small (Table 4 and supporting ), although the sequence similarity values of these helical regions tend to be higher.

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Positions of ligands on superimposed template structures are then clustered into consensus binding sites.

Thus, in order to improve the success rate of computational full-sequence design methods, we recommend that multiple template structures are used.

Although producing accurate models remains a challenge when only distantly related template structures are available, it has been suggested that sequence alignment is the bottleneck in this process, as quite accurate models can be produced if a "perfect" sequence alignment is known.

The secondary structures of template structures are assigned by DSSP [68].

For threading alignment, initial profiles representing the template structures are generated from the first four eigenvectors of the contact matrices.

The residue solvent accessibilities of query sequence are predicted by Real-SPINE [25] while residue solvent accessibilities of template structures are calculated from DSSP [30] and normalized by unfolded solvent accessible surface areas [32].

Apart from hRHO, the differences in sequence similarity between each target GPCR and the five template structures are small, ranging from 3% to 11% (Table 3)–see materials and methods for a definition of percentage of sequence similarity.

These methods are therefore uniquely useful in cases where no suitable template structures are available.

Template structures are identified in the PDB library using metathreading that combines the 10 individual threading/fold recognition algorithms.

3D structural homology modeling supported the presence of a bona fide PP catalytic domain for all included PPs, except for PTPLA and YVH1, for which no suitable template structures are available.

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