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Effect of β-sheet content on accuracy of PREDITOR predictions
Figure 2.

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  Figure above shows a plot of the performance of PREDITOR’s shift-based torsion angle predictions (φ/ψ[30]) versus the % beta sheet found in the protein (estimated via CSI and VADAR). It is quite clear that the performance of PREDITOR (and also of TALOS ) is closely tied to the amount of beta sheet found in the protein.  The smaller the beta sheet content (i.e. the more helix) the more accurate the shift-derived torsion angles are.  Roughly speaking, if the beta sheet content is less than 10%, then the switch to shift-derived data should occur when the %ID for a PDB homologue drops below 75%.  If the beta sheet content is greater than 50%, the switch should occur when the %ID for a PDB homologue drops be low 50%.  PREDITOR uses the regression line shown in the figure to more precisely determine the switch-over condition. 

 

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