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 Insensitivity to series termination errors & noise.

The following two figures compare a 4.6Å thick stack of sections from a 4.0-0.8Å (2Fo - Fc)exp(iPHI_c) GraphEnt (top) and conventional (lower) maps for a 4-alpha-helical bundle protein at the final stage of its refinement (R = 0.102). Both maps are contoured at 1.3sigma above their respective mean densities.

Figure: GraphEnt map
GraphEnt map

Figure: Conventional map
Conventional map

As it is obvious, the conventional map suffers from quite appreciable series termination errors and contains a number of peaks (and continuous features) that are not required by the data. If you think that this is understandable (given that the low resolution cutoff was only 4Å), re-consider : the low resolution data that have been excluded from the calculation are only 204 reflections out of a total of 48774 reflections (ie less than 0.4% of the total number of reflections).


next up previous contents
Next:  Sensitivity to the value Up:  Examples Previous:  Insensitivity to noise   Contents
NMG, Nov 2002