I think the problem is that when you solve something by MR, then start
refinement the R and Rfree will inevitably be equal. Usually they start
~ 50% and then R falls faster than Rfree in the expected manner. But in
your case it is obv. a very good model, Rfree and R both start very low,
so as expected the Rfreee will climb to a more or less realistic value (
> 30% I would expect without solvent etc.. ) This is not really a problem.
You could avoid this by adding noise to all your coordinates
(pdbset xyzin mr.pdb xyzout mr+noise.pdb
noise 0.4
end
(But Check! that is from memory! )
Then both R values will prob start ~ 40% and the FreeR will prob. behave
as you expect..
But I would guess you would finish up with similar results..
Eleanor
Taiana Oliveira wrote:
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The data set is resolution 2.1
Taianá Maia de Oliveira
Laboratório de Moléculas Biologicamente Ativas - Biomol-lab
Departamento de Bioquímica e Biologia Molecular
Univesidade Federal do Ceará
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