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Matplotlib DPL94 R1rho R2eff

2,687 bytes added, 10:42, 16 March 2014
== About ==
The production to these figures relates to the Suppport Request:<br>
[https://gna.org/support/?3124 sr #3124: Grace graphs production for R1rho analysis with R2_eff as function of Omega_eff]
 
== References ==
# Evenäs, J., Malmendal, A. & Akke, M. (2001). Dynamics of the transition between open and closed conformations in a calmodulin C-terminal domain mutant. Structure 9, 185–195
http://dx.doi.org/10.1016/S0969-2126(01)00575-5
 
# Kempf, J.G. & Loria, J.P. (2004). Measurement of intermediate exchange phenomena. Methods Mol. Biol. 278, 185–231
http://dx.doi.org/10.1385/1-59259-809-9:185
 
# Palmer, A.G. & Massi, F. (2006). Characterization of the dynamics of biomacromolecules using rotating-frame spin relaxation NMR spectroscopy. Chem. Rev. 106, 1700–1719
http://dx.doi.org/10.1021/cr0404287
 
# Palmer, A.G., Kroenke, C.D. & Loria, J.P. (2001). Nuclear magnetic resonance methods for quantifying microsecond-to-millisecond motions in biological macromolecules. Meth. Enzymol. 339,
http://dx.doi.org/10.1016/S0076-6879(01)39315-1
 
# Francesca Massi, Michael J. Grey, Arthur G. Palmer III* (2005) Microsecond timescale backbone conformational dynamics in ubiquitin studied with NMR R1ρ relaxation experiments, Protein science
http://dx.doi.org/10.1110/ps.041139505
 
=== Figures ===
 
Ref [1], Figure 1.b.
'''The bell-curves''' As function of angle calculation.
 
Ref [1], Figure 1.c.
The wanted graph. No clear "name" for the calculated parameter.
 
Ref [2], Equation 27.
Here the calculated value is noted as: R_eff. : Equation 27:
$$ R_eff = R1rho / sin^2(theta) - R_1 / tan^2(theta) = R^{0}_2 + R_ex $$
Where R^{0}_2 refers to R1rho_prime as seen at [[DPL94]]
 
Ref [3], Equation 20.
Here the calculated value is noted as: R_2: R_2 = R1rho / sin^2(theta)
- R_1 / tan^2(theta)
Figure 11+16, would be the reference.
 
Ref [4], Equation 43.
R_eff = R1rho / sin^2(theta) - R_1 / tan^2(theta)
 
Ref [5], Material and Methods, page 740.
Here the calculated value is noted as: R_2: R_2 = R^{0}_2 + R_ex.
Figure 4 would be the wished graphs.
 
****
 
A little table of conversion then gives
 
Relax equation | Relax store | Articles
---------------------------------------------------------------
R1rho' spin.r2 R^{0}_2 or Bar{R}_2
Fitted pars Not stored R_ex
R1rho spin.r2eff R1rho
R_1 spin.ri_data['R1'] R_1 or Bar{R}_1
 
 
The parameter is called R_2 or R_eff in the articles.
Since reff is not used in relax, this could be used?
 
A description could be:
* The effective rate
* The effective transverse relaxation rate constant
* The effective relaxation rate constant.
== Code ==
Trusted, Bureaucrats
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