Hi Folks
I'm looking for a way to score each atom (or residue) in a model based on
it's geometry. I know these scores exists because various software
packages speak of outliers, even including a sigma value in some cases.
So I'm looking for a simple way to get a complete list (not just outliers)
Hi all
I'm trying to 'measure' the density in a region of my structure by
integrating the electron density there (notwithstanding errors in F000). I
understand that both overlapmap and phenix.real_space_correlation compute
density surrounding individual atoms for their calculations. Is there any
On Mon, May 2, 2011 at 12:53 PM, Pavel Afonine wrote:
> Hi Matt,
>
>
> I'm trying to 'measure' the density in a region of my structure by
>> integrating the electron density there (notwithstanding errors in F000). I
>> understand that both overlapmap and phenix.real_space_correlation compute
>>
ing to make this whole thing suspect anyway. What I really want
is an END map. Have you got code somewhere? I wasn't planning on sleeping
tonight anyway...
>
> -James Holton
> MAD Scientist
>
> On May 2, 2011, at 11:44 AM, Matt Warkentin wrote:
>
> > Hi all
>
Howdy folks
I'm having an infuriating problem with an mtz file and sftools. I'm
sure this is an easy fix. Here's the situation: phaser gave me an
mtz and pdb file with bad cell information. It's I213, but the cell
is listed as
168.981 168.981 168.982
i.e. NOT cubic - this creates an error wi
structure on cooling, rapid
cooling may trap the room temperature ensemble, whereas very slow
cooling might give a better-ordered 'annealed' structure.
Thank you for your consideration, and please don't hesitate to email
me directly with questions.
Matt Warkentin
Hi all
I have a seemingly simple task that I can't seem to figure out how to
do: I have a bunch of structures with same space/cell that I want to
compare in coot. It is easy to superpose the models, but I would also
like to superpose the maps. Is there a simple way to do this? If
not, is that
hi all
i'm confused about truncate's Wilson plot output.
i'm running truncate version 6.1: 28/03/08
in particular:
a) the wilson plot displayed in the output file has as the horizontal
axis LABEL: 4 sinsq/lamdasq (i.e. 4 s^2) (times 100, forget about
that for the moment)
b) the TICK MARKS on
hi folks
i've almost got my B-factors questions sorted out. one thing i still
don't understand is this:
in truncate's wilson plot, what is plotted on the vertical axis is not
ln I_mean, but ln (I_mean/ff_mean)
and ff_mean (or Mn_ff, as truncate calls it) is the "average expected
value of ff".