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Dear community, The protein model I am refining has 400 amino acids (3320 atoms). Some real quick calculations tell me that to properly refine it anisotropically, I would need 119,520 observations. Given my unit-cell dimension and space-group it is equivalent to about a 1.24 A complete data set. However, I have had a couple of cases where anisotropic B-factor refinement significantly improved R-work and R-free, while maintaining a reasonable gap for lower resolution models (1.4-1.5 A, around 70,000 reflections). What is the proper way of modelling the B-factors? Any thoughts and/or opinions from the community are welcome. Cheers,