Clemens,
I have not looked at the structure, but the issues you described are
alarming. It is a little sad because the paper itself seems very
comprehensive and rigorous.
It is great to hear so many voices advocating for depositing raw images.
I hope more researchers will be convinced to do
Hi Clemens,
thank you for looking into this! To me, a "structure" that has a few sequence
shifts does not appear useful at all - rather, it taints the PDB. This one
should be blacklisted, like 6MO[0,1,2]. It's painful to learn that despite all
the validation that is performed before and at depo
Hi Ivan,
On Wed, Jul 31, 2019 at 05:32:24PM -0400, Ivan Shabalin wrote:
> And Rfree of 36% seems really high.
If you look at the maps (e.g. after some re-refinement with your
favourite refinement package) it seems as if there are a few sequence
shifts (around and after A78), some poor density and
Hi Clemens,
I fully agree with you, especially on overall data collection strategy
and on image deposition.
It looks like an interesting and mysterious case. Mean I Over Sigma is
reported as 2.2 - I'm curious why resolution was not extend. Since they
disregarded Rmerge (a reasonable thing to
Hi,
On Wed, Jul 31, 2019 at 07:11:10PM +0100, Weston Lane wrote:
> Thanks for the response. I did look at the multiplicity of the
> datasets in their table and while I suppose 6.9x redundancy is sort
> of high for P2 spacegroup it's actually lower than some of the other
> datasets (presumably non-
Edward,
Thanks for the response. I did look at the multiplicity of the datasets in
their table and while I suppose 6.9x redundancy is sort of high for P2
spacegroup it's actually lower than some of the other datasets (presumably
non-Eiger) in the table with good overall Rmerge (e.g. a C2 datase
I think it is not really the detector, but the strategy. If you decrease
exposure time by a factor of ten and make up for it by 10 x higher redundancy,
then obviously R-merge, which is a measure of accuracy of the individual
frames, is going to suffer. Chi^2 statistics can distinguish this from