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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)
1T0002EM123_2Map BProteasomeemcm135_ProteasomeOptimized currentyesyesnonono-1003j9ifully automated150realmap vs. model correlation coefficient,map vs. model FSC curve,energy function,cross-validation procedureyes0.982yesyesyes
2T0002EM123_3Map BProteasomeemcm175_Proteasomeab-initioyesyesnoyesyes-50
fully automated1200realmap vs. model correlation coefficient,energy functionno
yesyesno
3T0002EM130_1Map BProteasomeemcm109_Proteasomeab-initioyesnonoyesno-20
fully automated016realmap vs. model correlation coefficientno
yesyesno
4T0002EM130_3Map BProteasomeemcm154_Proteasomeab-initioyesnonoyesno100
fully automated016realmap vs. model correlation coefficientno
yesyesno
5T0002EM133_1Map BProteasomeemcm170_ProteasomeFitted another yesnonoyesyes0
partially automated, some manual steps110realmap vs. model correlation coefficient,cross-validation procedureno
yesyesno
6T0002EM164_1Map BProteasomeemcm203_ProteasomeOptimized currentno




3j9ifully automated11reciprocalmap vs. model correlation coefficientno
yesyesno
7T0002EM189_2Map BProteasomeemcm189_ProteasomeFitted another no




1pmafully automated2410realmap vs. model correlation coefficient,energy functionno
yesyesno
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