Hi,

We should add many more of these details to the dispersion chapter of
the relax manual!  So for the dispersion auto-analysis, there is the
'pre_run_dir' argument.  To use clustering, you just define the
cluster with the relax_disp.cluster user function, and then set
'pre_run_dir' to the directory of non-clustered results.  That's it.
The auto-analysis takes care of the rest.

Regards,

Edward


On 28 August 2013 13:43, Troels Emtekær Linnet <[email protected]> wrote:
> Hi Edward.
>
> Allright, I see your point. :-)
>
> Now I am trying to figure out how to do a clustering analysis.
>
> I have added to the wiki:
> http://wiki.nmr-relax.com/Tutorial_for_Relaxation_dispersion_analysis_cpmg_fixed_time_recorded_on_varian_as_fid_interleaved#Inspecting_results_from_the_relax_analysis
>
> But I am unsure if I made the clustering correct.
>
> It is related to copying of the parameters, and running the
> minimization with the clustered analysis residues.
>
> I looked up in the relax disp manual: "relax disp.parametercopy".
> (I think the prompt example i wrong?)
>
> I can't seem to find a section how to make the minimization to run
> with a clustering or residues. :-)
>
> Thanks :-)
>
> Troels Emtekær Linnet
>
>
> 2013/8/28 Edward d'Auvergne <[email protected]>:
>> Hi,
>>
>> This model selection technique is called Akaike's Information Criteria
>> (AIC).  See http://www.nmr-relax.com/refs.html#dAuvergneGooley03 for
>> details on this.  How would you produce a plot in Grace of the models
>> selected?  I don't know how this would work for the dispersion models.
>>  In a model-free analysis I have deliberately taken the decision to
>> not create such a plot.  In model-free, relax supports models m0 to
>> m9, so these could be plotted as 0 to 9 on the Y-axis.  But this is
>> not done and will never be implemented.  The reason is because the
>> information about which model is selected is worthless.  What is
>> important is the dynamics extracted.  This is especially the case of
>> nested models.  Just because a parameter is missing from a model, this
>> does not mean that it is not present.  For example there are
>> model-free models without the Rex parameter.  If these are selected,
>> this does not mean that Rex is not present.  It means that Rex is
>> statistically insignificant in the current data set.  Model
>> differences are an academic question and is not interesting in
>> practice.  Sometimes the AIC value for two nested models is very
>> similar and that means that the parameter different between the two is
>> sitting directly on the boarder of statistical
>> significance/insignificant.  You could pick either model and it should
>> not make a statistical difference in the dynamics picture.  It does
>> not relate to the dynamics, just the judgement of statistically
>> significance for parameters.  Therefore for practical reasons, for
>> model-free at least, the interesting plots, text files, and
>> PyMOL/MOLMOL macros are of the parameter values themselves.  I think
>> is would be much more of interest to implement PyMOL/MOLMOL macros for
>> the dispersion parameters so you can see the dynamics directly on the
>> 3D structure.  This is performed in NESSY and needs to be added to
>> relax.
>>
>> Also note that when you are analysing data, you would probably limit
>> the number of models to 2-3.  For example if you know that all
>> residues are experiencing slow exchange, the LM63 fast exchange model
>> does not need to be used.  It is interesting to see that sometimes the
>> analytic models are selected and sometimes the numeric models.  But
>> this is an academic curiosity, it is probably not a practical question
>> anyone analysing real dispersion data is interested in.  The way an
>> analysis would normally be performed is to first decide if the
>> analytic or numeric approach is to be used.  For the analytic approach
>> with slow exchange, you only need the 'No Rex' and 'CR72' models.  You
>> could add the 'IT99' model if you can see that pA >> pB in the
>> spectra, i.e. the pB peak is tiny.  If you take the numeric approach,
>> then the 'No Rex' and 'NS 2-site expanded' models can be used.  Once
>> you perform an initial analysis of all residues separately, you can
>> then look at the dynamics parameter values and judge which spins to
>> cluster together to have the same model of dynamics, then re-perform
>> the analysis.
>>
>> Regards,
>>
>> Edward
>>
>>
>> On 28 August 2013 12:02, Troels Emtekær Linnet <[email protected]> wrote:
>>> Hi.
>>>
>>> After a AIK selection between models
>>>
>>> CR72/
>>> IT99/
>>> LM63/
>>> NS 2-site expanded/
>>>
>>> I get this selected list of models.
>>> Would it be possible to add to the grace images in the final directory,
>>> the selected model and the residue number?
>>>
>>> 3 LM63
>>> 4 CR72
>>> 5 NS 2-site expanded
>>> 6 CR72
>>> 7 LM63
>>> 8 No Rex
>>> 9 NS 2-site expanded
>>> 10 CR72
>>> 11 LM63
>>> 12 CR72
>>> 13 IT99
>>> 14 NS 2-site expanded
>>> 15 NS 2-site expanded
>>> 16 LM63
>>> 17 CR72
>>> 18 CR72
>>> 20 NS 2-site expanded
>>> 21 NS 2-site expanded
>>> 22 CR72
>>> 23 LM63
>>> 24 LM63
>>> 25 CR72
>>> 26 IT99
>>> 27 NS 2-site expanded
>>> 28 NS 2-site expanded
>>> 29 CR72
>>> 30 NS 2-site expanded
>>> 31 CR72
>>> 32 CR72
>>> 33 IT99
>>> 34 IT99
>>> 35 IT99
>>> 36 IT99
>>> 37 IT99
>>> 38 NS 2-site expanded
>>> 39 LM63
>>> 40 No Rex
>>> 41 CR72
>>> 42 No Rex
>>> 43 NS 2-site expanded
>>> 45 IT99
>>> 46 CR72
>>> 47 CR72
>>> 48 IT99
>>> 49 NS 2-site expanded
>>> 50 LM63
>>> 51 NS 2-site expanded
>>> 52 CR72
>>> 53 NS 2-site expanded
>>> 54 NS 2-site expanded
>>> 55 No Rex
>>> 56 IT99
>>> 57 LM63
>>> 58 LM63
>>> 59 NS 2-site expanded
>>> 60 CR72
>>> 61 IT99
>>> 62 NS 2-site expanded
>>> 63 NS 2-site expanded
>>> 64 CR72
>>> 65 IT99
>>> 66 No Rex
>>> 67 CR72
>>> 68 No Rex
>>> 69 NS 2-site expanded
>>> 70 NS 2-site expanded
>>> 71 NS 2-site expanded
>>> 72 NS 2-site expanded
>>> 73 LM63
>>> 74 LM63
>>> 75 NS 2-site expanded
>>> 76 NS 2-site expanded
>>> 77 IT99
>>> 78 CR72
>>> 79 No Rex
>>> 80 LM63
>>> 81 NS 2-site expanded
>>> 82 IT99
>>> 83 IT99
>>> 84 NS 2-site expanded
>>> 85 LM63
>>> 86 IT99
>>>
>>>
>>> Troels Emtekær Linnet
>>>
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