Hi,

In relax, the Rex reported will be that of the first input field
strength.  The frequency of the Rex value is documented in the header
line of the results file.  This is a deliberate design to increase the
flexibility of relax - Rex is automatically handled for you.  If you
would like to convert to a different field strength, just divide by
the proton frequency in Hz, squared, then multiply by the new
frequency squared.  relax could be modified to report the value for
the highest field, this will of course also be fully automatic from
the user's perspective, but the current design allows an advanced user
to choose which frequency the Rex is reported for.

Regards,

Edward



On Feb 18, 2008 4:57 AM, Sebastien Morin <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I have a question concerning Rex and its magnetic field dependence vs
> how it is treated in relax.
>
> Rex, the contribution from us-ms motions on the transversal relaxation
> rate (R2), is scaled quadratically with the magnetic field. When doing
> an analysis with relax, one gets a value for Rex.
>
> When working with data from multiple magnetic fields, I realized that
> the dataset to which this Rex is associated changes as a function of the
> order with which datasets are input into relax. In fact, the Rex value
> is associated with the first dataset input.
>
> Here are some results I had with the full_analysis.py script modified to
> minimize only tm3 (for a rapid test) :
> ================================================================
>
> Input_order     Association     Rex__residue_25
> ===========     ===========     =======================
>
> 500-600-800     500              7.0885287044805514
> 500-800-600     500              7.0885287044182812
>
> 600-800-500     600              2.7486344907905164e-13
> 600-500-800     600              2.7486344897092221e-13
>
> 800-500-600     800             -2.1641012543284559e-17
> 800-600-500     800             -5.3169783493616144e-21
>
> ================================================================
>
> As you can see, the Rex value changes with the input order. Most change
> comes from the first dataset input, but there is also a small influence
> from the subsequent datasets input...
>
> Is this normal ?
> Would it be better to always input datasets so Rex gets associated with
> the highest magnetic field ? With the lowest ?
>
> Thanks for clarifying this issue !
> Cheers,
>
>
> Séb
>
> --
> Sebastien Morin
> Etudiant au PhD en biochimie
> Laboratoire de resonance magnetique nucleaire
> Dr Stephane Gagne
> CREFSIP (Universite Laval, Quebec, CANADA)
> 1-418-656-2131 #4530
>
>
>
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