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Calcium-Binding Protein Protocols Calcium-Binding Protein Protocols

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Shape and Dynamics of <strong>Calcium</strong>-<strong>Binding</strong> <strong>Protein</strong>s 295<br />

G. Palmer, III, Columbia University). The statistical significance of changes in χ 2<br />

are evaluated as outlined in Subheading 3.2., step10, where<br />

χ 2 tot<br />

= N<br />

∑ i ( (T 1 /T 2 ) i exp – (T 1 /T 2 ) i th / σ(T1 /T 2 ) i exp ) 2 (9)<br />

and (T th<br />

1/T2) i is a function of the diffusion tensor via Eqs. 1–3 and 5, with S 2 = 1.<br />

For the isotropic model, the isotropic diffusion constant D and for the axially<br />

symmetric diffusion model, the isotropic diffusion constant D, the axial ratio of<br />

the diffusion tensor, D ||/D⊥, and its orientation in the molecular frame θ and ϕ are<br />

obtained by minimization of Eq. 9. Averages of these quantities for a family of<br />

22 NMR structures of cbEGF32-33 (40) are shown in Table 1 and Fig. 3A.<br />

4. The χ2 values of the isotropic fit χ2 iso and the axially symmetric fit χ2axial are used<br />

to calculate the probability Q that the improvement in χ2 axial is obtained by chance<br />

(see Subheading 3.2., step 10 and Table 1). The degrees of freedom are N–1 for<br />

the isotropic model and N–4 for an axially symmetric tensor.<br />

5. For an axially symmetric diffusion tensor the dependence of the (T1/T2) –1 ratios<br />

R, as a function of the angle α of the N–H bond vector with the unique axis of the<br />

diffusion tensor can be approximated by (41):<br />

R(α) = R(0)(1 + ε sin2 α) (10)<br />

with ε = (D ||/D⊥–1). Provided that the analysis indicates some anisotropic motion, a<br />

plot of the (T1/T2) –1 as a function of sin2α, yields a straight line with y-intercept R(0)<br />

and slope R(0)(D ||/D⊥–1) (see Fig. 3). Sampling of a wide range of angles is important<br />

for obtaining a robust fit and a reliable estimate of the anisotropy.<br />

3.4. Model-Free Analysis of T 1, T 2 and 1 H– 15 N NOE Data<br />

1. Internal dynamics is characterized using the model-free approach of Lipari and<br />

Szabo (22) as implemented in Modelfree4 (26,27). Parameters of internal<br />

dynamics are obtained by χ 2 minimization (see Subheading 3.2., step 10):<br />

χ n 2 = ∑i<br />

[(T exp – Ti<br />

th ) 2 /(σi exp ) 2 ] + [(NOEexp – NOEth )/(σnoe exp ) 2 (11)<br />

i<br />

where T 1 th , T2 th , and NOE th depend on S 2 , τe, and R ex via Eqs. 1–3 and 5 (see Fig. 4).<br />

The uncertainties of the parameters are estimated using Monte Carlo simulations<br />

(typically 200–300). For each residue, five models of increasing complexity are<br />

tested, whereas the previously defined diffusion tensor is kept fixed (see Table 2).<br />

For each residue, an appropriate model is selected according to the criteria outlined<br />

in Subheading 3.2., step 10.<br />

2. After an appropriate model has been found for each residue, all parameters<br />

including the diffusion tensor and all parameters of internal dynamics are optimized<br />

simultaneously in a final χ 2 minimization. The uncertainties of the free<br />

parameters are estimated from a set of Monte Carlo simulations (typically 500).<br />

4. Notes<br />

1. For both samples, at this calcium concentration and in the absence of additional<br />

salt, both Ca2+ -binding sites of the pair were deemed saturated, based on the

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