Hi Evette,
(1) best practices in refining against lower resolution data (~4 angstrom)
> to achieve the best model,
>
obtain a model that fits data best under requirement that it has zero
geometry violations (Ramachandran, Cbeta deviations, rotamers, CABLAM,
etc..).
Note, a geometry outlier
I'd expect imposing Ramachandran restraints to lower the Rfree or at least the
gap between R and Free, otherwise I would not do it. If there were genuine
Ramachandran outliers, the restrained model might not have these included,
while these outliers could potentially be very interesting. Of
Dear all,
I have two questions. I would like to find out the community consensus of (1)
best practices in refining against lower resolution data (~4 angstrom) to
achieve the best model, and also (2) what manuscript referees should ask for in
this regard. One might encounter a hypothetical
