Hi, > all the errors go into B and so you can get decent R with wrong > structure. Glycosylated proteins have a large component totally > disordered - do you see any sugars? > with B~133 you uj is 3.7A which means that atom is all over the > place and meaningless > As a reviewer I would certainly question the interpretation of > such structure. > If the data collection was at 100K (or any cryo condition) one > expects B~20 for a good structure > I wouldn't interpret it that literally. The distribution of mean B-factors computed for structures in PDB at resolutions between 2.8 and 3..2A is: Mean B-factor value Number of structures in PDB 1.000 - 21.000 : 137 21.000 - 41.000 : 430 41.000 - 61.000 : 612 61.000 - 81.000 : 390 81.000 - 101.000 : 172 101.000 - 121.000 : 36 121.000 - 141.000 : 12 141.000 - 161.000 : 8 161.000 - 181.000 : 0 181.000 - 201.000 : 1 There is good amount of models with mean B-factors well higher than 70. I doubt that PDB would accept a structure where atoms are "all over the place" -:) And I wouldn't claim that those models are all bad simply because they don't have B-factors~20. There is a number of publications that discuss this and show similar histograms, so there is no point to repeat it. So, Jiamu, *if* the high B-factors is the only issue with this part of your structure, then make sure that the domain in question is properly modeled, and keep the above histogram just in case should you run into a picky reviewer -:) Pavel. PS> Same histogram as above, but computed for all models in resolution range from 3 to 4A: Mean B-factor value Number of structures in PDB 0.000 - 22.720 : 90 22.720 - 45.440 : 250 45.440 - 68.160 : 295 68.160 - 90.880 : 271 90.880 - 113.600 : 131 113.600 - 136.320 : 73 136.320 - 159.040 : 32 159.040 - 181.760 : 13 181.760 - 204.480 : 8 204.480 - 227.200 : 5 and finally, for high resolution models in 0.0 to 1.0A: Mean B-factor value Number of structures in PDB 1.800 - 4.190 : 3 4.190 - 6.580 : 4 6.580 - 8.970 : 18 8.970 - 11.360 : 41 11.360 - 13.750 : 50 13.750 - 16.140 : 34 16.140 - 18.530 : 9 18.530 - 20.920 : 3 20.920 - 23.310 : 3 23.310 - 25.700 : 5