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No. ID map A or B Challenge Target emcm###_target Modelling Category Did you modify provided map? low pass filter high pass filter segmentation applied a mask Sharpening factor applied Source coordinates: PDB id(s) Effort type Estimated human effort person-hrs Estimated computing time cpu-hrs Refinement space Which target criteria were used to identify model improvements? Was the map voxel size adjusted? Final scale internal model consistency checked? fit of model to the target map checked? fit of model to map other than target (cross-validation)
1T0006EM119_2Map BBGalemcm188_BGalOptimized currentno




5a1apartially automated, some manual steps55reciprocalmap vs. model correlation coefficient,otherno
yesyes
2T0006EM123_1Map BBGalemcm181_BGalOptimized currentno




3j7hfully automated150realmap vs. model correlation coefficient,map vs. model FSC curve,energy function,cross-validation procedureyes0.637yesyesyes
3T0006EM130_2Map BBGalemcm150_BGalab-initioyesnonoyesno-9
fully automated032realmap vs. model correlation coefficientno
yesyesno
4T0006EM130_4Map BBGalemcm162_BGalab-initioyesnonoyesno-11
fully automated032realmap vs. model correlation coefficientno
yesyesno
5T0006EM133_1Map BBGalemcm165_BGalFitted another yesnonoyesyes0
partially automated, some manual steps16realmap vs. model correlation coefficientno
yesyesno
6T0006EM192_2Map BBGalemcm195_BGalOptimized currentno




5a1apartially automated, some manual steps12realmap vs. model correlation coefficient,energy function,cross-validation procedureno
yesyesno
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