Did anybody actually compare the performance among phenix.refine, CNS and refmac5?  I am trying the phenix.refine from the latest CCI bundle for my refinement.  I have a relative large structure (800 kD unique) and unit cell (140, 160, 550, 90, 90, 90).  The data is at low resolution ( 3.8 A) with experimental phases.  My impression is that phenix.refine takes a much longer time to finish the jobs, say rigid body refinement or SA refinement, and it also takes a lot more memories ( in my case, phenix.refine uses more than 700 MB, but other programs use less than 200 MB).  Is this because the python code in phenix.refine? CNS and refmac5 are written in FROTRAN, I think.  Just curious.

Jianghai