Hi Fengyun, The one with 81% completeness is likely to be fine, but do compare results with the unfilled map. The one with 45% completeness is going to be very difficult for model-building...unless your starting model is almost correct to start with. I would recommend trying in both cases: instead of using these maps, use density-modified maps which can replace this model information with information based on solvent flattening or (better yet, if you have NCS), ncs averaging. You can do this with phenix.autobuild data=data.mtz model=coords.pdb \ maps_only=True seq_file=seq.dat resolve_command_list=" 'fill' " which will fill in missing reflections with information from the density modification process. All the best, Tom T
Hi all,
I have two datasets, one of which the completeness is only about 81%, the other one is even lower, about 45%.
The resulting "missing fobs filled map" is much better than the unfilled map in the loop region. I read one file of Pavel on the fact of maps, the concern of using missing fobs filled map is that the risk of the mdoel bias.
My question is that could the missing fobs filled map be used for the model building?
Thanks! Fengyun
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