Dear Soumya.

I know that meeting 'relax' can be quite overwhelming.

In our NMR lab, I have tried to make some small wiki-pages, to get our
other Master/PhD/Postdocs up and running.

The first problem to tackle, is to get the measure error of your spectrums.
Have you recorded in dublicate/triplicate? or are you interested in using
the spectrum noise as error estimator?
http://wiki.nmr-relax.com/Spectrum_error_analysis

As Edward suggest, you should investigate using SPARKY's extension for this:
http://wiki.nmr-relax.com/RMSD

Make for example a text which contain columns of "settings" for all your
spectrums in a measurement (R1, R2, NOE).
This file we can then loop over later, when making settings in relax.

path_to_ft2_file  spectrum_id   spectrometer_frq    relax_time
rmsd_err

Then you should be able to modify the script here:
http://wiki.nmr-relax.com/Tutorial_for_R1/R2_Relaxation_curve-fitting_analysis_on_varian_recorded_as_fid_interleaved

For a R1/R2 analysis.

The output files "*.out" from these analysis you can the load in easily for
the model-free analysis.

For the NOE analysis, this i written in the manual.
http://www.nmr-relax.com/manual/NOE_script_mode_sample_script.html

Best
Troels






2014-03-05 11:17 GMT+01:00 Edward d'Auvergne <[email protected]>:

> Hi Soumya,
>
> I've had a close look at your relaxation data and model-free results
> attached to https://gna.org/support/?3127, and have some comments
> below:
>
>
> > I've conducted model-free analysis on relax using relaxation data (T1,
> T2 adn
> > NOE) collected on 600 and 800 MHz instruments.
>
> Before I get to the other issues, I can see problems with the base
> data.  How did you calculate the T1, T2, and NOE?  And more
> importantly how did you calculate the errors?  I would recommend you
> try to calculate these again using relax, and see if you get the same
> results.  It is clear that your steady-state NOE errors are too small,
> they are not even visible.  If you have duplicated or triplicated
> spectra, relax can use these to obtain an error estimate.
>
> Or you can perform the normal procedure of measuring the RMSD of the
> baseplane noise.  The 'rm' command in Sparky is the most powerful for
> this.  Do not use the estimates that spectral software give for the
> entire spectrum, that is not accurate enough for a model-free analysis
> (you must avoid peaks and the water signal, and it is unknown how
> these blackbox estimates do that, or even if they do that at all).
> You need to draw many boxes in empty parts of the spectrum, but close
> to your peaks in the centre where it is noisier, and use an average
> RMSD value from that.  You can then input the RMSD into the NOE
> analysis in relax and obtain the real NOE errors.
>
>
> > I used the GUI with the default
> > settings except for estimated rotational correlation time (for me it is
> 5 ns).
>
> Note that model-free analysis consists of a complex iterative
> protocol.  Here is the protocol used in the GUI:
>
> http://www.nmr-relax.com/manual/Model_free_analysis_in_reverse.html
>
> You can read about it in the GUI by clicking on the 'About' button in
> a model-free analysis tab.  I published this protocol in the paper:
>
>     - d'Auvergne, E. J. and Gooley, P. R. (2008). Optimisation of NMR
> dynamic models II. A new methodology for the dual optimisation of the
> model-free parameters and the Brownian rotational diffusion tensor. J.
> Biomol. NMR, 40(2), 121-133.
> (http://dx.doi.org/10.1007/s10858-007-9213-3).
>
> The key to this protocol is that the chicken or egg problem - which
> comes first, the diffusion tensor or internal motion - is reversed
> compared to how protocols were constructed in the past.  This protocol
> optimises the internal motion first and then the diffusion tensor.  At
> no point do you specify a diffusion tensor - the protocol will find
> the correct one by itself.  Correlation time estimates from other
> biophysical techniques are always different to that found in the NMR
> sample, due to concentration differences and microviscosity, so you
> should not use these as starting points (which cannot be done in this
> protocol anyway).
>
>
> > My S2 order parameters are the inverse of what I expect. Disordered
> regions
> > appear to have values closer to one and regions I know are structured
> have
> > values that are closer to zero (see attached). The errors associated
> with the
> > "ordered" NHs are quite large whereas those for dynamic residues are
> smaller.
>
> This appears to be the classic problem of inputting the data in the
> wrong format - specifically when relaxation times and not relaxation
> rates are input into the software.  Rates must always be used.  The
> reason is that all of the fundamental NMR theory going all the way
> back to the bible of NMR (Abragam) is based on rates.  Spectral
> density values add to give rates.  Times are not the natural unit for
> the physics of the system.  If you use relax to recalculate all of the
> R1, R2, and NOE data, then this problem should disappear.
>
>
> > Here's what I observed. The calculation ran without any errors. It took
> about
> > three days to run with a single processor. Is that normal or is there
> > something wrong here?
>
> 3 days is normal.  It can take anywhere between a few hours on a
> multiprocessor machine to 1-2 weeks.  It depends on the molecular
> system being used, the real diffusion tensor, how complicated the
> internal dynamics are, and if the system is not perfectly described by
> the classic spherical, spheroidal or ellipsoidal diffusion tensors.
> It takes a long time because this is a full iterative protocol being
> executed.  And relax has far higher accuracy than any of the other
> model-free software (see http://dx.doi.org/10.1007/s10858-007-9214-2).
>  If you have a multi-core or hyperthreaded system, you should try to
> run Gary Thompson's multiprocessor for relax.  If you have 8 cores,
> you can run the relax model-free calculations 7 times faster (one of
> the 8 is used for the master processor,
> seehttp://www.nmr-relax.com/manual/Introduction_multi_processor.html
> and the following sections).
>
>
> > I have conducted consistency tests on these data. I guess I'd like to
> know
> > what the threshold might be for something that has a Tc = 5 ns.
>
> The consistency tests are independent of the correlation time.  You
> must however input relaxation rates and not times.  There is a good
> description of what problems to look for in the manual
> (
> http://www.nmr-relax.com/manual/Consistency_testing_script_mode_visualisation_data_output.html
> ,
> though the PDF is of higher quality).  Also have a look at Sebastien
> Morin's paper on the subject (he implemented the consistency testing
> in relax):
>
>     - Morin, S. and Gagn ́e, S. (2009a). Simple tests for the
> validation of multiple field spin relaxation data. J. Biomol. NMR, 45,
> 361–372.  (http://dx.doi.org/10.1007/s10858-009-9381-4).
>
>
> > My protein behaves as a single domain to the best of my knowledge. It is
> > actually a tethered complex between two proteins but they bind each
> other. The
> > dynamic region near the C-terminus is the glycine-serine loop that
> connects
> > the two entities. I don't believe it comes apart very often as one of the
> > proteins precipitates if left on its own.
> >
> > There appears to be no concentration-dependent dimerisation. The HSQC
> spectra
> > of the protein at 0.04 and 0.6 mM look identical.
>
> From the data, it appears as if everything should be fine, apart from
> the NOE errors.  However I can see that one spin has an NOE value of >
> 1.  This is not physically possible, so you should probably deselect
> this spin in the analysis and look back at the spectra to see why this
> is the case.
>
>
> > The relaxation data for the 600 and 800 MHz exp are attached. The S2 has
> also
> > been graphed. Does anyone know why my S2 parameters are the opposite to
> what
> > I'm expecting?
>
> As I mentioned above, the S2 values look exactly as I would expect if
> times and not rates are feed into the program.  I hope this
> information helps.
>
> Regards,
>
> Edward
>
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