On Dec 13, 2007 6:43 AM, Edward d'Auvergne <[EMAIL PROTECTED]> wrote:
> Hi,
>
> The article you reference is a description of the use of the
> 'full_analysis.py' script distributed with relax.  This script
> implements a new model-free protocol which is described in Chapter 6
> of my PhD thesis
> (http://eprints.infodiv.unimelb.edu.au/archive/00002799/) and which
> should be published very, very soon.  You can use the diffusion
> tensor(s) from the Tensor program in relax but be careful.  As the
> convention for the spherical and Euler angles used in Tensor are
> undocumented I was unable to determine, even after asking, what they
> are.  In Tensor I don't know how the symmetries are handled and
> collapsed, whether 0 degrees for the azimuthal angle and alpha and
> gamma is along x or y, whether the polar angle and beta range between
> -pi/2 to pi/2 or between 0 and pi, or whether the Euler angles are in
> the standard physics z-y-z notation, in the shifted axis system
> z-y'-z', z-x-z, or roll-pitch-yaw, etc.  These are all nicely
> described on Wikipedia.

I had similar issues working out the conventions used by Tensor. The
easy solution is provided by Tensors ability to write a PDB file in
the frame of the current diffusion tensor. If you use that file as
input for relax, you can set all Euler/sperical angles to 0 to recover
the tensor orientation as optimised by Tensor. In my hands this argeed
well with tensors as optimised with relax (conventionally, or with
full_analysis.py), though milage will vary depending on the system and
data quantity/quality.

>
> The point of the new protocol is that the model-free parameters are
> determined before the global diffusion tensor.  This is in contrast to
> the current procedure where you start with the diffusion tensor then
> finally find the model-free parameters.  Hence the new protocol does
> not use the initial tensor estimate from Tensor (this is an estimate
> as many assumptions about the internal motions are made and mobile
> residues should be filtered out first).  Note though that this
> protocol minimally requires 4 relaxation data sets and optimally 6,
> hence to use it you cannot avoid collecting at multiple field
> strengths.  I hope this answers you questions.
>
> Regards,
>
> Edward
>
>
>
>
> On Dec 12, 2007 12:51 PM, Douglas Kojetin <[EMAIL PROTECTED]> wrote:
> > Hi,
> >
> > In the following post [https://mail.gna.org/public/relax-users/
> > 2007-05/msg00009.html], Edward said that relax could be used to
> > estimate the diffusion tensor parameters (instead of using the
> > program Tensor).  Does this protocol already exist in the form of a
> > python script?  If not, could someone briefly outline the protocol in
> > an email so I can write it myself?
> >
> > Thanks,
> > Doug
> >
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