Hirota N, Mizuno K, Goto Y
Department of Biology, Graduate School of Science, Osaka University, Japan.
Protein Sci. 1997 Feb;6(2):416-21. doi: 10.1002/pro.5560060218.
Alcohols denature the native state of proteins, and also stabilize the alpha-helical conformation in unfolded proteins and peptides. Among various alcohols, trifluoroethanol (TFE) and hexafluoroisopropanol (HFIP) are often used because of their high potential to induce such effects. However, the reason why TFE and HFIP are more effective than other alcohols is unknown. Using CD, we studied the effects of TFE and HFIP as well as reference alcohols, i.e., methanol, ethanol, and isopropanol, on the conformation of bovine beta-lactoglobulin and the bee venom melittin at pH 2. Upon addition of alcohols, beta-lactoglobulin exhibited a transformation from the native state, consisting of beta-sheets, to the alpha-helical state, whereas melittin folded from the unfolded state to the alpha-helical state. In both cases, the order of effectiveness of alcohols was shown to be: HFIP > TFE > isopropanol > ethanol > methanol. The alcohol-induced transitions were analyzed assuming a two-state mechanism to obtain the m value, a measure of the dependence of the free energy change on alcohol concentration. Comparison of the m values indicates that the high potential of TFE can be explained by the additive contribution of constituent groups, i.e., F atoms and alkyl group. On the other hand, the high potential of HFIP is more than that expected from the additive effects, suggesting that the cooperative formation of micelle-like clusters of HFIP is important.
醇类会使蛋白质的天然状态变性,同时还能稳定未折叠蛋白质和肽中的α-螺旋构象。在各种醇类中,三氟乙醇(TFE)和六氟异丙醇(HFIP)因其具有诱导此类效应的高潜力而经常被使用。然而,TFE和HFIP比其他醇类更有效的原因尚不清楚。我们使用圆二色光谱(CD)研究了TFE、HFIP以及作为参考的醇类,即甲醇、乙醇和异丙醇,在pH 2条件下对牛β-乳球蛋白和蜂毒蜂毒肽构象的影响。加入醇类后,β-乳球蛋白呈现出从由β-折叠组成的天然状态向α-螺旋状态的转变,而蜂毒肽则从未折叠状态折叠成α-螺旋状态。在这两种情况下,醇类的有效性顺序均为:HFIP > TFE > 异丙醇 > 乙醇 > 甲醇。假设采用两态机制对醇诱导的转变进行分析,以获得m值,m值是衡量自由能变化对醇浓度依赖性的指标。m值的比较表明,TFE的高潜力可以通过组成基团,即氟原子和烷基的加和贡献来解释。另一方面,HFIP的高潜力超过了加和效应所预期的程度,这表明HFIP形成类似胶束簇的协同作用很重要。