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. 2009 Feb 18;96(4):1515–1528. doi: 10.1016/j.bpj.2008.11.014

Table 2.

Parameters obtained from the fit with SG distributions and CBX model

Solvent Peptide SG distributions
CBX model
A B D (10−6 cm2 s1cP) dα (Å) ΔkR (%) ΔE (%) r21/2 (Å) nS D (10−6 cm2 s1cP)
Water agq 10 11 1.0 ± 0.1 2.2 5 7 19.8 1.76 1.2 ± 0.2
age 9 12 1.8 ± 0.4 3.0 1 10 20.3 1.85 2.2 ± 0.5
aqe 11 16 1.1 ± 0.2 5.0 1 0 22.6 2.52 1.1 ± 0.2
Urea agq 11 14 1.6 ± 0.2 4.2 0 1 21.1 1.91 1.5 ± 0.3
age 12 14 2.0 ± 0.2 4.3 3 7 21.2 1.93 1.6 ± 0.2
aqe 11 18 1.3 ± 0.1 5.4 3 6 24.4 2.68 1.1 ± 0.2
GdmCl agq 12 13 0.78 ± 0.1 3.7 2 4 20.7 1.93 0.75 ± 0.1
age 10 16 1.2 ± 0.2 5.1 4 1 22.0 2.12 1.1 ± 0.2
aqe 12 17 0.37 ± 0.1 5.2 4 3 23.0 3.05 0.35 ± 0.1

Tryptophan-cysteine distance distributions obtained as skewed Gaussians, where p(r) ∝ r2exp[−(r-B)2/A2], and from the CBX model are extracted minimizing the sum of squared differences calculated through Eq. 5 between the measured and the computed values of kR and 〈E〉. Intrachain diffusion coefficients D are extracted from the Eq. 6 using the selected p(r) and the measured ηkD+. For each distance distribution simulated with the CBX model the table reports the value of the hard sphere diameter dα, the percental errors ΔkR and ΔE between measured and computed values of kR and 〈E〉 respectively, the computed rms tryptophan-cysteine distance and the average chain correlation length, nS, in units of number of orientationally correlated residues (see Materials and Methods).