Schurr J Michael, Rangel David P, Aragon Sergio R
Department of Chemistry, University of Washington, Seattle, WA 98195-1700, USA.
Biophys J. 2005 Oct;89(4):2258-76. doi: 10.1529/biophysj.104.057331. Epub 2005 Jul 29.
A simple and complete derivation of the relation between concentration-based preferential interaction coefficients and integrals over the relevant pair correlation functions is presented for the first time. Certain omissions from the original treatment of pair correlation functions in multicomponent thermodynamics are also addressed. Connections between these concentration-based quantities and the more common molality-based preferential interaction coefficients are also derived. The pair correlation functions and preferential interaction coefficients of both solvent (water) and cosolvent (osmolyte) in the neighborhood of a macromolecule contain contributions from short-range repulsions and generic long-range attractions originating from the macromolecule, as well as from osmolyte-solvent exchange reactions beyond the macromolecular surface. These contributions are evaluated via a heuristic analysis that leads to simple insightful expressions for the preferential interaction coefficients in terms of the volumes excluded to the centers of the water and osmolyte molecules and a sum over the contributions of exchanging sites in the surrounding solution. The preferential interaction coefficients are predicted to exhibit the experimentally observed dependence on osmolyte concentration. Molality-based preferential interaction coefficients that were reported for seven different osmolytes interacting with bovine serum albumin are analyzed using the this formulation together with geometrical parameters reckoned from the crystal structure of human serum albumin. In all cases, the excluded volume contribution, which is the volume excluded to osmolyte centers minus that excluded to water centers in units of V1, exceeds in magnitude the contribution of the exchange reactions. Under the assumption that the exchange contribution is dominated by sites in the first surface-contiguous layer, the ratio of the average exchange constant to its neutral random value is determined for each osmolyte. These ratios all lie in the range 1.0 +/- 0.15, which indicates rather slight deviations from random occupation near the macromolecular surface. Finally, a mechanism is proposed whereby the chemical identity of an osmolyte might be concealed from partially ordered multilayers of water in clefts, grooves, and pits, and its consequences are noted.
首次给出了基于浓度的优先相互作用系数与相关对关联函数积分之间关系的简单完整推导。还讨论了多组分热力学中对关联函数原始处理中的某些遗漏。还推导了这些基于浓度的量与更常见的基于质量摩尔浓度的优先相互作用系数之间的联系。大分子附近溶剂(水)和共溶剂(渗透溶质)的对关联函数和优先相互作用系数包含来自短程排斥和源自大分子的一般长程吸引的贡献,以及大分子表面之外的渗透溶质 - 溶剂交换反应的贡献。通过启发式分析评估这些贡献,该分析得出了基于优先相互作用系数的简单有洞察力的表达式,该表达式涉及水和渗透溶质分子中心的排除体积以及周围溶液中交换位点贡献的总和。预测优先相互作用系数表现出实验观察到的对渗透溶质浓度的依赖性。使用该公式以及根据人血清白蛋白晶体结构估算的几何参数,分析了七种不同渗透溶质与牛血清白蛋白相互作用时报告的基于质量摩尔浓度的优先相互作用系数。在所有情况下,排除体积贡献(以V1为单位,即渗透溶质中心的排除体积减去水中心的排除体积)在大小上超过了交换反应的贡献。在假设交换贡献由第一表面邻接层中的位点主导的情况下,确定了每种渗透溶质的平均交换常数与其中性随机值的比率。这些比率都在1.0 +/- 0.15的范围内,这表明在大分子表面附近与随机占据的偏差相当小。最后,提出了一种机制,通过该机制,渗透溶质的化学身份可能会从裂缝、凹槽和坑中部分有序的水多层中被隐藏起来,并指出了其后果。