Kumosinski T F, Unruh J J
Talanta. 1996 Feb;43(2):199-219. doi: 10.1016/0039-9140(95)01726-7.
Fourier transform infrared spectroscopy (FTIR) is potentially a powerful tool for determining the global secondary structure of proteins in solution, providing the spectra are analyzed using a statistically and theoretically justified methodology. We have performed FTIR experiments on 14 globular proteins and two synthetic polypeptides whose X-ray crystal structures are known to exhibit varying types and amounts of secondary structures. Calculation of the component structural elements of the vibrational bands was accomplished using nonlinear regression analysis, by fitting both the amide I and amide II bands of the Fourier self-deconvoluted spectra, the second-derivative spectra, and the original spectra. The methodology was theoretically justified by comparing (via nonlinear regression analysis) the global secondary structure determined after deconvolving into component bands the vibrational amide I envelopes with the calculated structure determined by first principles from Ramachandran analysis of the X-ray crystallographic structure of 14 proteins from the Brookhaven protein data bank. Justification of the nonlinear regression analysis model with respect to experimental and instrumental considerations was achieved by the decomposition of all the bands of benzene and an aqueous solution of ammonium acetate into component bands while floating the Gaussian/Lorentzian character of the line shapes. The results for benzene yield all pure Lorentzian line shapes with no Gaussian character while the ammonium acetate spectra yielded all Gaussian line shapes with no Lorentzian character. In addition, all-protein spectra yielded pure Gaussian line shapes with no Lorentzian character. Finally, the model was statistically justified by recognizing random deviation patterns in the regression analysis from all fits and by the extra sum of squares F-test which uses the degrees of freedom and the root mean square values as a tool to determine the optimum number of component bands required for the nonlinear regression analysis. Results from this study demonstrate that the globular secondary structure calculated from the amide I envelope for these 14 proteins from FTIR is in excellent agreement with the values calculated from the X-ray crystallographic data using three-dimensional Ramachandran analysis, providing that the proper contribution from GLN and ASN side chains to the 1667 and 1650 cm(-1) component bands has been taken into account. The standard deviation of the regression analysis for the per cent helix, extended, turn and irregular conformations was found to be 3.49%, 2.07%, 3.59% and 3.20%, respectively.
傅里叶变换红外光谱法(FTIR)在用于确定溶液中蛋白质的整体二级结构时,若能采用统计学和理论上合理的方法分析光谱,可能会成为一种强大的工具。我们对14种球蛋白和两种合成多肽进行了FTIR实验,已知它们的X射线晶体结构呈现出不同类型和数量的二级结构。通过对傅里叶自卷积光谱、二阶导数光谱和原始光谱的酰胺I带和酰胺II带进行拟合,利用非线性回归分析完成了振动带组成结构元素的计算。通过(通过非线性回归分析)将振动酰胺I包络解卷积为组成带后确定的整体二级结构与通过对布鲁克海文蛋白质数据库中14种蛋白质的X射线晶体结构进行拉马钱德兰分析从第一原理计算得到的结构进行比较,从理论上证明了该方法的合理性。通过将苯和醋酸铵水溶液的所有谱带分解为组成带,同时浮动线形的高斯/洛伦兹特征,实现了非线性回归分析模型在实验和仪器方面的合理性证明。苯的结果产生了所有纯洛伦兹线形,无高斯特征,而醋酸铵光谱产生了所有高斯线形,无洛伦兹特征。此外,所有蛋白质光谱都产生了纯高斯线形,无洛伦兹特征。最后,通过识别所有拟合回归分析中的随机偏差模式以及使用自由度和均方根值作为工具来确定非线性回归分析所需最佳组成带数量的额外平方和F检验,从统计学上证明了该模型的合理性。本研究结果表明,对于这14种蛋白质,从FTIR的酰胺I包络计算得到的球状二级结构与使用三维拉马钱德兰分析从X射线晶体学数据计算得到的值非常吻合,前提是已考虑GLN和ASN侧链对1667和1650 cm(-1)组成带的适当贡献。发现螺旋、伸展、转角和不规则构象百分比的回归分析标准偏差分别为3.49%、2.07%、3.59%和3.20%。