Salut Edward !
Hi Alexander !

The value of -172 (with r=1.02 A) is from a review by Palmer
(Annu.Rev.Biophys.Biomol., 2001, 30:129-155). In the same review, Palmer
talks about another combination (-163 ppm and 1.04 A) which should give
similar results...

Hall and Fushman, in their last paper (JACS, 128 (24), 7855 -7870, 2006)
say that the true mean CSA values (for ubiquitin) range from -173.9 ppm
(2R2 - R1) to -177.2 ppm (Rn). I guess one should then use values around
-175 ppm instead of -160 and even -170 or -172...

I guess I'll take some time to read papers and have a deeper
understanding of this quite important issue and then choose if I use a
fixed value or if I measure CSAs as well...

I hope to read more about this on the mailing list !
Cheers


Sébastien






Edward d'Auvergne wrote:
> Salut Séb, welcome to the relax users mailing list.  Thank you for
> responding Alex.  The CSA value is important as the example shows.
> However I would call this a 'fringe' example as it represents a highly
> restricted nanosecond motion.  The relaxation data for this example
> was generated by back calculation using the CSA value of -160 ppm.
> Although as Alex pointed out relax is capable of optimising the CSA
> value, I would be wary of these models as they are essentially
> untested.  I've played around with the models a little and I have a
> feeling that the R1, R2, and NOE values are not sufficient to tease
> out the CSA.  To test these models using just the R1, R2, and NOE at
> multiple field strengths, the CSA would need to be accurately measured
> using one of David Fushman's techniques (I'll talk about this next)
> and the values compared to those fitted using the models built into
> relax.
>
> I believe that the value of -160 ppm was determined by solid state NMR
> of small peptides (it's been a few years since I read the litterature
> on the CSA value in proteins, so I could be wrong).  However a number
> of publications have demonstrated that the average CSA value in
> solution is higher.  I would say that the authorative expert in the
> field is David Fushman.  The JACS reference you cite is just one of
> many of his publications on measuring the CSA.  He has demonstrated,
> using I think three different techniques now, that the CSA in proteins
> is highly variable.
>
> Idealy for highly accurate model-free analysis, the CSA value should
> be determined either prior to or during model-free analysis using one
> of his techniques.  However most people appear happy to just set the
> CSA value to either the 'ancient' value of -160 ppm or the solution
> average of -170 ppm (David's work again).  Using the data you have
> currently collected, I would personally use the value of -170 ppm.  Is
> the value of -172 ppm from the Hall and Fushman paper you cited?  I
> haven't read that paper yet.
>
> Edward
>
>
> P.S.  I might change the sample scripts to -170 ppm.  I had intended
> to change the value a while back but forgot about it.
>
>
>
> On 9/30/06, Sebastien Morin <[EMAIL PROTECTED]> wrote:
>>
>>  Hi again
>>
>>  Thanks for your answer !
>>
>>  I think that, for me, the CSA value would have a significant impact
>> on my
>> analysis since my protein has a tumbling time of about 13 ns and I
>> have data
>> from 500, 600 and 800 MHz...
>>
>>  I don't know if this is relevant, but I performed simple tests with the
>> test data and sample scripts provided with relax (path :
>> 'relax/test_suite/data/model_free/S2_0.970_te_2048_Rex_0.149'
>> in version 1.2.7 and the sample script 'mf_multimodel.py')...
>>
>>  TEST 1
>>  =====
>>  r = 1.02
>>  CSA = -160 ppm
>>  m4
>>  S2 = 0.97
>>  te = 2048
>>  Rex = 0.149
>>  X2 = 7.3e-28
>>
>>  TEST 2
>>  =====
>>  r = 1.02
>>  CSA = -172 ppm
>>  m4
>>  S2 = 0.97
>>  te = 82
>>  Rex = 4.34
>>  X2 = 2.27
>>
>>  As you can see, for this single residue (with data at 500 and 600 MHz),
>> there is no effect for the value of S2, but the effect is important
>> for te
>> and Rex... And still, the best model (the lower X2) is m4 for both
>> situations...
>>
>>  I think that this ambiguity in the value for CSA leads to important
>> variations in the interpretation of relaxation data.
>>
>>  Thanks for getting me to understand more this topic and also choose the
>> best value to use...
>>
>>  Séb
>>
>>
>>
>>
>>  Alexandar Hansen wrote:
>> Hi Sebastien,
>>
>>  I'm quite new to relax as well, but I can give you at least a some
>> answer
>> to the questions you pose.
>>
>>  In general, the CSA mechanism is a little underappreciated.  At low
>> enough
>> field strengths for 15N relaxation (400-500MHz), the 15N CSA accounts
>> for
>> somewhere between 10-20% of your R1 and R2 rates.  Varying the CSA
>> magnitude
>> between 160 and 172 only changes this by 2-3%.  So, if relaxation
>> rates are
>> measured with, let's say, 5% error, there's no statistical reason to
>> vary
>> the CSA.  As we go to higher fields (800MHz), the CSA can account for
>> 50-60%
>> of the R1 and R2 rates and varying the CSA between 160 and 172 can
>> affect
>> those rates by up to 10%.  So, now people are finding that this thing
>> called
>> CSA is relatively improtant and should be better understood.
>>
>>  In many analysis techniques, such as relax, you have the option of
>> letting
>> the CSA vary.  For relax, I believe that's models m10-m19 and tm10-tm19.
>> One word of warning though, I wouldn't encourage fitting the CSA
>> unless you
>> have data at multiple field strengths as you're adding another
>> variable to
>> the analysis, so the standard 3 measurements at a single field
>> strength are
>> likely not enough to do this.  You also run the risk of
>> overinterpretting
>> your data because, in my opinion, varying the CSA freely in relaxation
>> analysis is not unlike simply throwing in a fudge factor. :-)
>>
>>  As for what is the best value to use, I can't really help you there.
>> We'll
>> have to wait for some of the protein people to respond (I know RNA
>> better
>> ;-) ).  But if you're at low enough fields or tiny proteins (<2-3 ns
>> tau( m
>> )) it shouldn't really matter what you use.
>>
>>  I hope all of this makes sense and I haven't said anything blatantly
>> incorrect.  If I have, hopefully someone will follow up on both of our
>> posts.  Thanks, and good luck!
>>
>>  Alex Hansen
>>
>>
>>
>>
>>  Hi
>>
>> I am new to relax and have a quite general question about the value used
>> for the CSA while studying proteins' 15N-1H vectors with model-free
>> approach.
>>
>> In the litterature, we mainly find two values for the CSA (-160 and -172
>>
>> ppm).
>>
>> There is, if I understand well, a link between the bond length and the
>> CSA, but everyone seems to agree about using the same value of 1.02 A
>> which should give rise to a mean S2 of 0.85 for secondary structure when
>>
>> combined to a CSA of -172 ppm.
>>
>> In the relax sample scripts (as well as in the Model-free manual), a
>> value of -160 ppm is used for CSA.
>>
>> What is the best value to use and, most importantly, why ?
>>
>>
>> Also, what about the CSA variability from one vector to another (JACS,
>> 128 (24), 7855 -7870, 2006) ?
>>
>> Thanks !
>>
>>
>> Sébastien
>>
>>  ________________________________
>>
>> _______________________________________________
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>>
>>  --
>>
>>  ______________________________________
>>  _______________________________________________
>>  | |
>>  || Sebastien Morin ||
>>  ||| Etudiant au doctorat en biochimie |||
>>  |||| Laboratoire de resonance magnetique nucleaire ||||
>> ||||| Dr Stephane Gagne |||||
>>  |||| CREFSIP (Universite Laval) ||||
>>  ||| 1-418-656-2131 poste 4530 |||
>>  || [EMAIL PROTECTED] ||
>>  |_______________________________________________|
>>  ______________________________________
>>
>>
>> _______________________________________________
>> relax (http://nmr-relax.com)
>>
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>>
>


-- 

         ______________________________________    
     _______________________________________________
    |                                               |
   || Sebastien Morin                               ||
  ||| Etudiant au doctorat en biochimie             |||
 |||| Laboratoire de resonance magnetique nucleaire ||||
||||| Dr Stephane Gagne                             |||||
 |||| CREFSIP (Universite Laval)                    ||||
  ||| 1-418-656-2131 poste 4530                     |||
   || [EMAIL PROTECTED]                   ||
    |_______________________________________________|
         ______________________________________    



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