can't you feed solve with those positions or Hyss or the Sharp interface ?
It's been too long ago when I faced this issue but I remember force-feeding one 
of the existing programs at the time with blank coordinates to figure it out - 
or was it mlphare ?

Too long ago probably 10 years by now.

Jürgen

On Dec 28, 2012, at 10:42 AM, Soisson, Stephen M wrote:

I did this exact thing ages ago to place a domain using just predicted SeMet 
positions using O's lsq commands.  Cumbersome syntax as I recall, but worked 
great.

Thanks,
Steve

On Dec 28, 2012, at 10:18 AM, "Jason Vertrees" 
<jason.vertr...@schrodinger.com<mailto:jason.vertr...@schrodinger.com>> wrote:

Hi Dave,

If you're still searching for a quick way to do this, check out
PyMOL's Pair Fitting Wizard (Wizard > Pair Fitting; see Page 20
http://www.doe-mbi.ucla.edu/CHEM125/pymol_tutorial_060418.pdf). The
wizard is interactive and quick to use.

This can also be done from the command line or scripted using the
pair_fit command (http://www.pymolwiki.org/index.php/Pair_fit). We use
the Kabsch algorithm (with the appropriate corrections for reflection)
and a faster hand-rolled technique, using if I recall correctly Jacobi
rotations, to annihilate off-diagonal values.

Cheers,

-- Jason

--
Jason Vertrees, PhD
Director of Core Modeling Product Management
Schrödinger, Inc.

(e) jason.vertr...@schrodinger.com<mailto:jason.vertr...@schrodinger.com>
(o) +1 (603) 374-7120


On Fri, Dec 28, 2012 at 5:53 AM, Tom Oldfield 
<oldfi...@ebi.ac.uk<mailto:oldfi...@ebi.ac.uk>> wrote:
Hi

In you post you say you want to fit a  small number of points.  Note that
the
original algorithm of Kabsch has a number of maths pathalogical conditions
where points have symmetry or lie in a plane/line - this is common for
a small number of points (fitting residues or your example).

The maths for an update to this algorithm can be found here
Oldfield   St'Fun'Gen  (2002) 510-528   (appendix C) where cross terms
are used to generate the eigen vectors.  This algorithm is very stable
for fitting a small number of points and might be more suitable for
what you are trying to do.

If you want I can email you the code in C or maybe Java, though it
has rather a lot of other weighting schemes/masking used in the above
paper.

Regards
Tom


Lsqkabsch should do the trick.
Herman

-----Original Message-----
From: CCP4 bulletin board [mailto:CCP4BB@JISCMAIL.AC.UK] On Behalf Of
Dale Tronrud
Sent: Thursday, December 27, 2012 9:10 PM
To: CCP4BB@JISCMAIL.AC.UK<mailto:CCP4BB@JISCMAIL.AC.UK>
Subject: Re: [ccp4bb] 3D alignment of points (atoms)


  If you just want the mathematics and are willing to roll your own
code, you can use the method of Wolfgang Kabsch.  I see this has been
enshrined in a Wikipedia page at

http://en.wikipedia.org/wiki/Kabsch_algorithm

This is what I've used when I've wanted to superimpose points where the
mapping between the points is defined.  If the points in your tetramer
aren't pathological, like lying in a common plane, you shouldn't have to
worry about SVD and can just perform the matrix inversion.

Dale Tronrud


On 12/27/12 11:16, Waugh, David (NIH/NCI) [E] wrote:

Greetings,

I have what seems like a relatively simple problem to solve, but have

not been able to do so using the software tools I know about. I have two
sets of 4 points in 3D space (atoms in PDB files). They represent
equivalent positions in two tetrameric proteins. I would like to align
these points in one PyMol or Coot file. I don't want a NEW set of points
representing the LSQ average of the two sets, which is what I get in
Coot's SuperPose. Instead I am looking for a way to "superimpose" one
atom from each set and then rotate one set for the best fit. I'm not an
intuitive expert on symmetry, but I think there is probably only one
best solution to this problem, right? I also need the atomic distances
to be on the same scale in the two sets of points.

Thanks for any help!

Dave Waugh

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National Cancer Institute Bldg. 538, Room 209A Frederick, MD
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