Dear Lande,
On Wed, Oct 26, 2022 at 08:09:10AM +0100, Lande Fu wrote:
> I noticed STARANISO processd the data all the way down to 1.7A, with
> very poor stats on high resolution shell.
Were you looking at the second table in the original email? It is not
in a format I recognize as coming from STA
Dear Shenyuan Xu,
I dealt with a similar problem recently. In my particular case, a
combination of the correction with STARANISO and a subsequent molecular
replacement with the MoRDa pipeline helped me a lot. MoRDa was able to
suggest how to place individual protein domains separately in the u
How to deal with poor data is a challenge. Look at the images - see at what
resolution there is detectable diffraction.
Then run a self rotation function.Do you expect a trimer? dimer? etc and
does the self rotation give any clues?
Are your models dimers? trimers? etc.
Eleanor
On Wed, 26 Oct 2022
Hello Shenyuan,
I noticed STARANISO processd the data all the way down to 1.7A, with very poor
stats on high resolution shell. I have two suggesstions:
1.You may want to reivse the raw images to check the anisotropy (that all spots
are distributed in an flat ellipse).
2. If you can scale&mer
The improvement in statistics by STARANISO is really spectacular, but I do
wonder how much is caused by the directionally variable resolution limits and
how much by the removal of solvent rings? The original data set statistics have
big dips in CC1/2 at 6, 4.3 and 3.7 Å.
Also in the final statis
Dear Shenyuan Xu,
it is a good sign that the model and density to not match - at 3.07A,
one often only has model bias with a poor MR solution. You don't want
to start with refinement, better to start with model building: make the
model fit the density better, before you run refinement, and check
a
MR search for only 3 or 4 molecules.
Best,
Herman
Von: CCP4 bulletin board Im Auftrag von Xu, Shenyuan
Gesendet: Montag, 24. Oktober 2022 03:43
An: CCP4BB@JISCMAIL.AC.UK
Betreff: [ccp4bb] Low resolution and high anisotropy
Dear CCP4 community,
I have encountered a dataset, which I thought should
Dear CCP4 community,
I have encountered a dataset, which I thought should be easy to solve. The
volume of the cell unit seems to be expanded after image 271, which I think
is caused by radiation damage. After removing the last few images, the
scaled statistics seem good with the resolution set at
