Department of Medicine, Cardiovascular Research, Baylor College of Medicine, Houston, TX, United States.
Biophys Chem. 2011 Nov;159(1):90-9. doi: 10.1016/j.bpc.2011.05.012. Epub 2011 May 19.
In adaptation biology the discovery of intracellular osmolyte molecules that in some cases reach molar levels, raises questions of how they influence protein thermodynamics. We've addressed such questions using the premise that from atomic coordinates, the transfer free energy of a native protein (ΔG(tr,N)) can be predicted by summing measured water-to-osmolyte transfer free energies of the protein's solvent exposed side chain and backbone component parts. ΔG(tr,D) is predicted using a self avoiding random coil model for the protein, and ΔG(tr,D)-ΔG(tr,N), predicts the m-value, a quantity that measures the osmolyte effect on the N⇌D transition. Using literature and newly measured m-values we show 1:1 correspondence between predicted and measured m-values covering a range of 12 kcal/mol/M in protein stability for 46 proteins and 9 different osmolytes. Osmolytes present a range of side chain and backbone effects on N and D solubility and protein stability key to their biological roles.
在适应生物学中,发现了一些达到摩尔水平的细胞内渗透物分子,这引发了关于它们如何影响蛋白质热力学的问题。我们使用这样的前提来解决这些问题,即从原子坐标可以通过将测量的蛋白质溶剂暴露的侧链和骨架组成部分的水到渗透物的转移自由能加和来预测天然蛋白质的转移自由能(ΔG(tr,N))。ΔG(tr,D) 使用蛋白质的自回避无规线团模型进行预测,并且 ΔG(tr,D)-ΔG(tr,N) 预测 m 值,该值衡量渗透物对 N ⇌ D 转变的影响。使用文献和新测量的 m 值,我们展示了在蛋白质稳定性范围内为 12 kcal/mol/M 的 46 种蛋白质和 9 种不同渗透物的预测和测量 m 值之间的 1:1 对应关系。渗透物对 N 和 D 的溶解度以及对蛋白质稳定性具有一系列侧链和骨架效应,这对它们的生物学作用至关重要。