Alexandrescu A T, Rathgeb-Szabo K, Rumpel K, Jahnke W, Schulthess T, Kammerer R A
Department of Structural Biology, Biozentrum, University of Basel, Switzerland.
Protein Sci. 1998 Feb;7(2):389-402. doi: 10.1002/pro.5560070220.
Backbone 15N relaxation parameters (R1, R2, 1H-15N NOE) have been measured for a 22-residue recombinant variant of the S-peptide in its free and S-protein bound forms. NMR relaxation data were analyzed using the "model-free" approach (Lipari & Szabo, 1982). Order parameters obtained from "model-free" simulations were used to calculate 1H-15N bond vector entropies using a recently described method (Yang & Kay, 1996), in which the form of the probability density function for bond vector fluctuations is derived from a diffusion-in-a-cone motional model. The average change in 1H-15N bond vector entropies for residues T3-S15, which become ordered upon binding of the S-peptide to the S-protein, is -12.6+/-1.4 J/mol.residue.K. 15N relaxation data suggest a gradient of decreasing entropy values moving from the termini toward the center of the free peptide. The difference between the entropies of the terminal and central residues is about -12 J/mol residue K, a value comparable to that of the average entropy change per residue upon complex formation. Similar entropy gradients are evident in NMR relaxation studies of other denatured proteins. Taken together, these observations suggest denatured proteins may contain entropic contributions from non-local interactions. Consequently, calculations that model the entropy of a residue in a denatured protein as that of a residue in a di- or tri-peptide, might over-estimate the magnitude of entropy changes upon folding.
已测量了22个残基的S肽重组变体在游离形式和与S蛋白结合形式下的主链15N弛豫参数(R1、R2、1H-15N NOE)。使用“无模型”方法(Lipari和Szabo,1982年)分析了NMR弛豫数据。从“无模型”模拟中获得的序参数用于使用最近描述的方法(Yang和Kay,1996年)计算1H-15N键向量熵,其中键向量波动的概率密度函数形式源自圆锥内扩散运动模型。S肽与S蛋白结合后变得有序的T3-S15残基的1H-15N键向量熵的平均变化为-12.6±1.4 J/mol·残基·K。15N弛豫数据表明,从游离肽的末端向中心移动,熵值逐渐降低。末端和中心残基的熵差约为-12 J/mol残基K,该值与复合物形成时每个残基的平均熵变相当。在其他变性蛋白质的NMR弛豫研究中也明显存在类似的熵梯度。综上所述,这些观察结果表明变性蛋白质可能包含来自非局部相互作用的熵贡献。因此,将变性蛋白质中一个残基的熵建模为二肽或三肽中一个残基的熵的计算,可能会高估折叠时熵变的大小。