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Radiation damage can be another culprit. If you collected a redundant
dataset but the last half suffers from radiation damage you may be
better off using only the first N degrees of data which gives you a
complete data set. We got a few percent improvement in R and Rfree by
doing this.
Bart
Eleanor Dodson wrote:
I agree with Errin Merrit - any problem is usually in the data. REFMAC
gives a useful plot of <Fobs> v <Fcalc> - look at that and check that
they both are nice shapely curves,
If there is a glitch at the point you merged the two data sets then you
can either go back and try to process better, or decide that you have a
lovely structure which answers your biological Qs and go on...
the CCP4 GUI developers have put a lot of effort into providing
information about data processing, refinememt etc in a graphical form,
and I fear it isnt always checked as carefully as it should be!!!
--
==============================================================================
Bart Hazes (Assistant Professor)
Dept. of Medical Microbiology & Immunology
University of Alberta
1-15 Medical Sciences Building
Edmonton, Alberta
Canada, T6G 2H7
phone: 1-780-492-0042
fax: 1-780-492-7521
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